URP Research Grants

Program Overview

URP Research Grants are funding opportunities designed to bridge the gap between academic research capabilities and real-world industry challenges.

These grants facilitate collaborative partnerships between universities and industry partners by providing financial support for research projects that address specific commercial problems while advancing academic knowledge.

The funding mode will operate in PPP model where industry is also mandated to co-fund the research. This grant program will encourage the partnering industry to extend its facilities and share their expertise in their domain of interests.

Urban Research Image

About the Program

As an enabler of research–industry–government collaboration, TNRPF acts as a catalyst to bring together academia, start-ups, enterprises, and policymakers. Through the URP Research Grants, it aims to:

  • Encourage cutting-edge applied research to address real-world urban challenges.
  • Support multi-disciplinary projects that promote sustainability, smart infrastructure, and inclusive growth.
  • Facilitate collaborations between research parks, universities, industries, and government to co-develop scalable solutions.
  • Provide financial assistance and mentorship to research teams for impactful project outcomes.
  • Build a knowledge ecosystem that positions Tamil Nadu as a hub for urban innovation and policy leadership.

Key Features

Industry-Academia Collaboration

The program connects academic researchers with industry partners who have identified specific technical or operational challenges requiring innovative solutions. This creates a mutually beneficial relationship where academia gains access to real-world problems and funding, while industry benefits from cutting-edge research expertise.

Problem-Focused Research

Unlike traditional academic grants that may prioritize theoretical advancement, these grants are specifically structured to tackle practical industry problems. Research projects must demonstrate clear commercial relevance and potential for implementation.

Applied Research Emphasis

Projects typically focus on applied research with tangible outcomes that can be translated into commercial applications, new technologies, or improved processes within partner industries.

Focus Areas

Smart Cities

Smart & Digital Cities

Data-driven governance, AI/IoT solutions, and e-governance tools.

Infrastructure

Sustainable Urban Infrastructure

Mobility, housing, energy efficiency, and green buildings.

Climate

Climate & Environment

Urban resilience, water management, renewable energy, waste systems.

Inclusive Development

Inclusive Urban Development

Participatory planning, affordable housing, and social equity.

Innovation

Innovation & Start-up Collaboration

Joint projects with commercialization potential.

Benefits

For universities, these grants provide additional funding streams, opportunities for student training on industry-relevant problems, and potential pathways for technology transfer. For industry partners, the grants offer access to specialized academic expertise, state-of-the-art research facilities, and innovative approaches to solving business challenges at a lower cost than internal R&D.

Scheme Guidelines

Detailed information on eligibility, funding structure, timelines, and application process is available below.

📄 Download Scheme Guidelines Problem Statements Apply Here
Guidelines Document

Problem Statements

To apply for New Problem Statements please Click below Apply Here button to redirect to New Problem Statement Entry screen

Apply Here

Grant Support

The program provides structured research grants covering project costs, manpower, and resource support. Selected projects will receive financial assistance, networking opportunities, and access to research parks for incubation and scaling. Through the URP Research Grants, TNRPF and TIDCO seek to catalyze innovation that will make Tamil Nadu’s cities smarter, greener, and more competitive at the global level.

Quick Apply

Problem Statements

To apply for New Problem Statements please click below to redirect to the Problem Statement Entry screen

Apply Here

Approved Problem Statements

Basic Information
Zepto Logic Technologies Private Limited
Semiconductor
A compact perovskite-based DRAs with multi-band and wideband characteristics for 5G and emerging 6G applications.
Basic Information
Zepto Logic Technologies Private Limited
Semiconductor
A compact perovskite-based DRAs with multi-band and wideband characteristics for 5G and emerging 6G applications.
IEPS00350
Semicondutor Design House
Technical Support
• To design and fabricate a successful compact perovskite-based DRA with significant size reduction compared to conventional antennas. • Achievement of stable multi-band or wideband operation covering targeted fractional bandwidth of at least 15–20% (with |S11| = -10 dB) 5G and emerging 6G frequency bands. • Attainment of high radiation efficiency (~ 90%) and acceptable gain with consistent radiation patterns across operating bands. • Demonstration of suitable dielectric properties of the synthesized perovskite material, high permittivity (?r) and low dielectric loss (tan d) for effective antenna performance. • Good agreement between CST simulation and experimental VNA measurements, confirming practical feasibility and performance reliability.
• High-density, low-loss perovskite ceramics with stable dielectric constant must be successfully synthesized and characterized for operation in 5G and emerging 6G frequency ranges. • Accurate measurement of dielectric constant (er) and dielectric loss (tand) in the GHz region is required to validate material suitability for multi-band and wideband DRA applications. • Novel perovskite material composition, compact DRA structure, and multi-band excitation techniques should be protected through patent filing prior to publication to secure intellectual property and commercialization potential.


Basic Information
Yagen robotics privately limited
DEEP TECH
A Closed-Loop Markerless Biofeedback System in Pediatric Rehabilitation for Autism Spectrum Disorder and Cerebral Palsy
Basic Information
Yagen robotics privately limited
DEEP TECH
A Closed-Loop Markerless Biofeedback System in Pediatric Rehabilitation for Autism Spectrum Disorder and Cerebral Palsy
IEPS00347
Robotics
Full hardware and software
Full market ready prototype
We’ll own complete design and hardware/software


Basic Information
EDRIFT ELECTRIC PRIVATE LIMITED
E-mobility sector
Current ev chargers are exhibiting very low efficiency leading to higher energy consumption, low reliability and bulky
Basic Information
EDRIFT ELECTRIC PRIVATE LIMITED
E-mobility sector
Current ev chargers are exhibiting very low efficiency leading to higher energy consumption, low reliability and bulky
IEPS00345
Design and manufacturing of power electronics based EV sub-systems
Man power, lab equipments,
A 3.3 kW, 48V single-phase On-Board Charger prototype is successfully demonstrated in a relevant operational electric motorcycle environment, meeting defined efficiency, safety, thermal, and regulatory performance targets, and validated for pilot-scale commercialization.
IP with EDRIFT ELECTRIC PRIVATE LIMITED


Basic Information
Sakthi veera green energy Pvt Ltd
Environment & Sustainability
Conventional pyrolysis systems processing plastic waste, end-of-life tyres, and used lubrication oil encounter significant operational and environmental limitations, including non-optimized feedstock blending, high specific energy consumption, elevated sulphur levels in the recovered fuel, and insufficient control over gaseous emissions. These challenges restrict process efficiency, fuel quality, and large-scale commercial adoption. There is a critical need to develop an optimized and energy-efficient pyrolysis platform that enhances feedstock synergy, reduces electrical energy intensity, improves sulphur removal effectiveness, and minimizes emission generation during thermal conversion. Furthermore, comprehensive techno-economic analysis and carbon credit assessment are essential to determine economic viability and environmental impact. The proposed problem statement seeks to establish a sustainable, low-sulphur fuel production system integrated with advanced carbon utilization and emission mitigation strategies to support scalable and environmentally responsible waste-to-energy conversion.
Basic Information
Sakthi veera green energy Pvt Ltd
Environment & Sustainability
Conventional pyrolysis systems processing plastic waste, end-of-life tyres, and used lubrication oil encounter significant operational and environmental limitations, including non-optimized feedstock blending, high specific energy consumption, elevated sulphur levels in the recovered fuel, and insufficient control over gaseous emissions. These challenges restrict process efficiency, fuel quality, and large-scale commercial adoption. There is a critical need to develop an optimized and energy-efficient pyrolysis platform that enhances feedstock synergy, reduces electrical energy intensity, improves sulphur removal effectiveness, and minimizes emission generation during thermal conversion. Furthermore, comprehensive techno-economic analysis and carbon credit assessment are essential to determine economic viability and environmental impact. The proposed problem statement seeks to establish a sustainable, low-sulphur fuel production system integrated with advanced carbon utilization and emission mitigation strategies to support scalable and environmentally responsible waste-to-energy conversion.
IEPS00344
Sakthi Veera Green Energy Pvt. Ltd., Chennai is a sustainable energy technology company engaged in the manufacturing and export of waste-to-energy machinery. The company specializes in the design and supply of systems that convert various waste oils—such as used engine oil, tyre pyrolysis oil, and plastic pyrolysis oil—into diesel and other distillate fuels through distillation and refining processes. In addition, it develops and supplies pyrolysis units, biomass gasifiers, waste oil recycling plants, and other energy conversion equipment aimed at promoting circular economy solutions and environmentally responsible fuel recovery technologies.
The organization will provide fabrication support and access to existing machinery required for reactor assembly, structural modification, and pilot-scale integration. The company will share past operational data from waste-to-fuel systems to assist in process benchmarking and optimization. Engineering inputs related to reactor configuration, thermal control, and industrial design expectations will be provided to align the system with customer requirements. The organization will also support emission evaluation under practical operating conditions and facilitate market validation of the developed technology. The company expects the project to result in the development of an energy-efficient reactor design with improved performance and reduced emission characteristics suitable for commercial deployment.
Optimization of reactor feed composition achieving =70 wt.% liquid fuel yield under controlled operating conditions. Reduction in specific electrical energy consumption by at least 15–20% compared to baseline conventional pyrolysis systems. Achievement of sulphur reduction in derived fuel to <20 ppm through integrated upgrading strategy. Demonstration of =20% reduction in gaseous emissions (CO, SOx, smoke intensity) during controlled validation trials. Successful fabrication and pilot-scale validation of an energy-efficient reactor design. Completion of techno-economic analysis showing projected fuel production cost below ?55–60 per litre under scaled operation. Carbon mitigation assessment demonstrating measurable CO2-equivalent reduction potential per tonne of waste processed. Industry-level performance validation and technical feasibility confirmation for commercialization readiness (TRL progression from 3 to 6).
Any new intellectual property generated during the execution of this project, including novel reactor configurations, feed optimization methodologies, sulphur reduction techniques, or emission control strategies (foreground IP), shall be jointly evaluated for protection through appropriate Intellectual Property Rights (IPR) mechanisms. Ownership, revenue sharing, and commercialization rights shall be governed through mutually agreed terms between the institution and the industry partner in accordance with applicable government and funding agency guidelines.


Basic Information
COGNIOT TECHNOLOGY PRIVATE LIMITED
IOT and DeepTech
Design and Development of Cognitive Multimodal Cargo Integrity & Inspection System
Basic Information
COGNIOT TECHNOLOGY PRIVATE LIMITED
IOT and DeepTech
Design and Development of Cognitive Multimodal Cargo Integrity & Inspection System
IEPS00339
Cogniot Technology Private Limited is a technology-driven enterprise incorporated under the engaged in research, design, and development of intelligent IoT systems and IT products. The company operates with a strong translational research orientation, bridging industrial problem statements with deployable hardware–software solutions, and has demonstrated capability in embedded firmware, secure wireless communication systems, and cloud-based analytics platforms.
Technical support, Mentoring, Hands-on training, Internship Offering
1. Advancement of technology from TRL-4 to TRL-9. 2. Successful validation during pilot deployment with customers. 3. Generation of patentable Intellectual Property. 4. Skill development of students, Internship and employment generation. 5. Creation of Centre of Excellence in Logistic & Fleet Automation (CELFA) in collaboration with the Institute. 6. Collaboration with International agencies
1. Pre-existing IP owned by the Company shall remain its property. 2. Access or licensing terms for pre-existing IP will be defined through a formal MoU. 3. IP generated under the grant shall be owned by the Company and the Institute in such a way that the company will be the applicant and the Institute will be the inventor based on the contribution. 4. Licensing and technology transfer rights shall rest with the company. 5. Confidentiality, material transfer, and licensing frameworks shall be documented prior to project commencement. 6. A formal IP protection strategy (Patent filing) will be executed within project tenure.


Basic Information
Innogle Technologies Pvt LTD
Oceantech
Problem Statement – HYDRO-AI Engine for WaterTech Over 70% of the Earth is covered by water, yet oceans and inland water bodies remain largely data-dark, unpredictable, and unsafe. Marine decision-making still depends on manual observation, fragmented sensors, delayed reporting, and surface-level satellite insights. There is no integrated, indigenous AI platform capable of delivering real-time underwater intelligence across safety, security, fisheries, infrastructure, and environmental monitoring. This gap results in severe consequences: Fishermen risk lives due to sudden weather shifts and unseen underwater hazards Low and unpredictable fish yield, leading to fuel wastage and income instability Communication blackouts beyond coastal coverage Undetected damage to subsea cables and pipelines Delayed alerts for cyclones, storm surges, pollution, and harmful algal blooms Limited real-time data for coastal security and deep ocean research Sectoral Challenges 1. Profitable & Sustainable Fishing No real-time fish movement prediction, AI-driven aggregation modeling, or underwater communication systems. Fishing remains high-cost and low-predictability. 2. Ocean Worker Safety Lack of underwater positioning, distress detection, and AI-based early warning systems exposes fishermen and marine workers to life-threatening risks. 3. Coastal & Maritime Security No AI-powered underwater surveillance grid to detect illegal fishing, smuggling, or underwater intrusions in real time. 4. Underwater Infrastructure Protection Subsea cables and pipelines are inspected manually and reactively, with no predictive maintenance intelligence. 5. Environmental & Climate Monitoring Pollution, water-quality degradation, and harmful blooms are detected late due to absence of continuous monitoring and predictive analytics.
Basic Information
Innogle Technologies Pvt LTD
Oceantech
Problem Statement – HYDRO-AI Engine for WaterTech Over 70% of the Earth is covered by water, yet oceans and inland water bodies remain largely data-dark, unpredictable, and unsafe. Marine decision-making still depends on manual observation, fragmented sensors, delayed reporting, and surface-level satellite insights. There is no integrated, indigenous AI platform capable of delivering real-time underwater intelligence across safety, security, fisheries, infrastructure, and environmental monitoring. This gap results in severe consequences: Fishermen risk lives due to sudden weather shifts and unseen underwater hazards Low and unpredictable fish yield, leading to fuel wastage and income instability Communication blackouts beyond coastal coverage Undetected damage to subsea cables and pipelines Delayed alerts for cyclones, storm surges, pollution, and harmful algal blooms Limited real-time data for coastal security and deep ocean research Sectoral Challenges 1. Profitable & Sustainable Fishing No real-time fish movement prediction, AI-driven aggregation modeling, or underwater communication systems. Fishing remains high-cost and low-predictability. 2. Ocean Worker Safety Lack of underwater positioning, distress detection, and AI-based early warning systems exposes fishermen and marine workers to life-threatening risks. 3. Coastal & Maritime Security No AI-powered underwater surveillance grid to detect illegal fishing, smuggling, or underwater intrusions in real time. 4. Underwater Infrastructure Protection Subsea cables and pipelines are inspected manually and reactively, with no predictive maintenance intelligence. 5. Environmental & Climate Monitoring Pollution, water-quality degradation, and harmful blooms are detected late due to absence of continuous monitoring and predictive analytics.
IEPS00334
Oceantech ,communication and watertech domain related product and solution
Indigenous DeepTech Innovation: Developed 27 IPs in Oceanography, 5G, IoUT, and Hydro AI, strengthening India’s self-reliance in marine intelligence, technology development, providing patent, piloting , dedicated team for university collaboration
Successful development and deployment of the Hydro AI tool for an ecosystem across oceans, rivers, and dams with trained AI models for underwater object recognition and classification. Real-time capture of water quality parameters with AI-based alerts displayed on a nationalized water bodies mapping dashboard. AI-powered underwater object and species detection with speed estimation, size measurement, object classification, and image/video capture. Fully validated real-time underwater communication and distress alert system ensuring life safety and rapid response.
The complete IP was owned by Innogle , Innogle holds 27 IPS and now the Proposal for Academia-Industry Collaboration – Amrita Vishwa Vidyapeetham & Innogle Technologies for Hydro AI , powerful underwater AI solution by training the underwater objects.


Basic Information
Tezta Electric Mobility And Energy Private Limited
Electric Mobility- Sustainable transportation - clean Clean mobility technology
Sodium-ion battery technology is emerging as a promising alternative to lithium-ion batteries due to the abundance, lower cost, and improved supply-chain security of sodium resources. A critical component enabling high-performance sodium-ion batteries is hard carbon anode material. However, large-scale production of high-quality hard carbon anodes remains technologically challenging and commercially underdeveloped in India. Current production methods face issues including inconsistent material structure, low initial coulombic efficiency, poor cycle stability, limited energy density, high processing cost, and lack of scalable indigenous manufacturing processes. Dependence on imported battery materials further increases cost and supply-chain vulnerability. There is an urgent need to develop a scalable, cost-effective, and high-performance hard carbon anode production process optimized for sodium-ion battery applications, ensuring structural stability, enhanced sodium-ion storage capacity, improved cycle life, and industrial-scale manufacturability under Indian conditions.
Basic Information
Tezta Electric Mobility And Energy Private Limited
Electric Mobility- Sustainable transportation - clean Clean mobility technology
Sodium-ion battery technology is emerging as a promising alternative to lithium-ion batteries due to the abundance, lower cost, and improved supply-chain security of sodium resources. A critical component enabling high-performance sodium-ion batteries is hard carbon anode material. However, large-scale production of high-quality hard carbon anodes remains technologically challenging and commercially underdeveloped in India. Current production methods face issues including inconsistent material structure, low initial coulombic efficiency, poor cycle stability, limited energy density, high processing cost, and lack of scalable indigenous manufacturing processes. Dependence on imported battery materials further increases cost and supply-chain vulnerability. There is an urgent need to develop a scalable, cost-effective, and high-performance hard carbon anode production process optimized for sodium-ion battery applications, ensuring structural stability, enhanced sodium-ion storage capacity, improved cycle life, and industrial-scale manufacturability under Indian conditions.
IEPS00330
Tezta Electric Mobility And Energy Private Limited operates in the CleanTech and advanced energy storage sector, focusing on electric mobility solutions, battery innovation, and indigenous energy material development to support sustainable transportation and grid storage systems.
Development of a scalable production process for hard carbon anode materials using optimized precursor selection, controlled pyrolysis/carbonization techniques, microstructure engineering, surface modification, and performance validation for sodium-ion battery integration. Material engineering expertise; pilot-scale process development capability; battery cell assembly and testing infrastructure; performance validation support; industrial scaling roadmap; commercialization strategy; industry testing partnerships.
Development of reproducible hard carbon material with targeted specific capacity benchmarks; improved initial coulombic efficiency; stable cycling performance over defined charge-discharge cycles; scalable manufacturing protocol; cost-optimized production model; successful integration and validation in sodium-ion battery cells; readiness for pilot-scale production.
Intellectual property generated under this project, including material formulations, process optimization methodologies, structural engineering techniques, and battery integration protocols, shall be jointly owned (co-ownership) between Tezta Electric Mobility And Energy Private Limited and collaborating academic institutions under mutually agreed URP guidelines. Background IP shall remain with respective owners.


Basic Information
MICROBIAL FARM RESEARCH AND CONSULTANCY
Agri-Biotechnology & Sustainable Bio-Manufacturing
Indian agriculture is increasingly challenged by declining soil fertility, inefficient nutrient use, and rising dependence on chemical fertilizers, particularly under intensive cropping systems. In Tamil Nadu, continuous cultivation, high phosphorus fixation in soils, micronutrient deficiencies, and long-term imbalance in fertilizer application have led to deterioration of soil biological health and reduced input-use efficiency. These factors directly affect crop productivity, sustainability, and farmer profitability. Arbuscular Mycorrhizal Fungi (AMF) play a critical role in improving phosphorus and micronutrient uptake, enhancing water-use efficiency, increasing tolerance to abiotic stress, and restoring soil biological function. AMF associations are relevant across most agricultural crops grown in Tamil Nadu, including paddy, sugarcane, pulses, millets, vegetables, and horticultural systems. As a result, demand for AMF-based biofertilizers is steadily increasing in India, driven by national and state priorities for sustainable, organic, and climate-resilient agriculture. Despite their proven agronomic importance, the effectiveness of AMF-based products available in the Indian market remains inconsistent. Most commercial AMF inoculants are produced using substrate-based or pot culture systems that are inherently low-yielding, contamination-prone, and difficult to standardize. These limitations result in variable propagule density, poor batch-to-batch reproducibility, and inconsistent infectivity. Furthermore, many products are limited to single or poorly characterized species, with inadequate quality benchmarks and limited performance validation, leading to variable field outcomes and reduced confidence among farmers and agri-input stakeholders. Root Organ Culture (RoC) technology offers a scientifically validated approach for axenic AMF multiplication with superior quality control and higher propagule density compared to conventional production methods. However, in India—particularly in Tamil Nadu—RoC technology remains largely restricted to laboratory-scale research. The absence of standardized protocols, pilot-scale validation, and demonstrable production workflows has prevented its transition into scalable, industry-ready systems. Consequently, a critical gap exists between laboratory-validated AMF RoC methods and the requirements of fertilizer manufacturers and agri-input companies for consistent, scalable, and quality-assured inoculum production. Addressing this gap is essential to unlock the full potential of AMF technology, improve reliability of biofertilizer products, and enable wider adoption of sustainable biological inputs in Indian agriculture.
Basic Information
MICROBIAL FARM RESEARCH AND CONSULTANCY
Agri-Biotechnology & Sustainable Bio-Manufacturing
Indian agriculture is increasingly challenged by declining soil fertility, inefficient nutrient use, and rising dependence on chemical fertilizers, particularly under intensive cropping systems. In Tamil Nadu, continuous cultivation, high phosphorus fixation in soils, micronutrient deficiencies, and long-term imbalance in fertilizer application have led to deterioration of soil biological health and reduced input-use efficiency. These factors directly affect crop productivity, sustainability, and farmer profitability. Arbuscular Mycorrhizal Fungi (AMF) play a critical role in improving phosphorus and micronutrient uptake, enhancing water-use efficiency, increasing tolerance to abiotic stress, and restoring soil biological function. AMF associations are relevant across most agricultural crops grown in Tamil Nadu, including paddy, sugarcane, pulses, millets, vegetables, and horticultural systems. As a result, demand for AMF-based biofertilizers is steadily increasing in India, driven by national and state priorities for sustainable, organic, and climate-resilient agriculture. Despite their proven agronomic importance, the effectiveness of AMF-based products available in the Indian market remains inconsistent. Most commercial AMF inoculants are produced using substrate-based or pot culture systems that are inherently low-yielding, contamination-prone, and difficult to standardize. These limitations result in variable propagule density, poor batch-to-batch reproducibility, and inconsistent infectivity. Furthermore, many products are limited to single or poorly characterized species, with inadequate quality benchmarks and limited performance validation, leading to variable field outcomes and reduced confidence among farmers and agri-input stakeholders. Root Organ Culture (RoC) technology offers a scientifically validated approach for axenic AMF multiplication with superior quality control and higher propagule density compared to conventional production methods. However, in India—particularly in Tamil Nadu—RoC technology remains largely restricted to laboratory-scale research. The absence of standardized protocols, pilot-scale validation, and demonstrable production workflows has prevented its transition into scalable, industry-ready systems. Consequently, a critical gap exists between laboratory-validated AMF RoC methods and the requirements of fertilizer manufacturers and agri-input companies for consistent, scalable, and quality-assured inoculum production. Addressing this gap is essential to unlock the full potential of AMF technology, improve reliability of biofertilizer products, and enable wider adoption of sustainable biological inputs in Indian agriculture.
IEPS00327
technology transfer and consultancy
The applicant organization will provide substantial non-financial contributions to support effective execution, technical rigor, and translational relevance of the proposed AMF Root Organ Culture (RoC) project. These contributions leverage existing expertise, infrastructure, and organizational capacity to advance the technology within the eligible TRL 3–7 framework. Domain Expertise and Technical Leadership The organization will contribute in-house expertise in AMF biology, in vitro Root Organ Culture systems, sterile processing, and microbial quality assessment. Scientific leadership will guide experimental design, culture optimization, contamination management, and interpretation of biological performance data throughout the project duration. Access to Existing Facilities and Operational Support The project will utilize existing laboratory space, sterile work practices, and basic infrastructure necessary for in vitro culture operations. Established biosafety procedures, contamination control practices, and routine laboratory management support will be provided without financial charge to the project. Standard Operating Knowledge and Process Experience Pre-existing technical knowledge related to AMF culture handling, media preparation, sterilization workflows, and culture maintenance will be made available for adaptation and refinement. This institutional know-how will support development of standardized, pilot-relevant RoC workflows during the project. Project Management and Compliance Support The organization will provide non-financial support for project coordination, milestone tracking, internal reviews, technical documentation, and compliance with reporting requirements of the Tamil Nadu Research Park Foundation. Translational Perspective and Industry Alignment Non-financial contribution will also include guidance on scalability, process robustness, and alignment with agri-input industry expectations, helping ensure that project outcomes remain relevant for future pilot-scale deployment and post-project technology transfer discussions. Through these non-financial contributions, the organization will strengthen project execution, reduce technical risk, and enhance the likelihood of successfully advancing AMF RoC technology toward pilot-scale readiness.
The project will be considered successfully completed upon achievement of the following technical, operational, and translational criteria, demonstrating progression of AMF Root Organ Culture (RoC) technology from early-stage validation toward pilot-scale readiness. Advancement in Technology Readiness Demonstrated progression of AMF RoC technology from TRL 3–4 to TRL 5–6, evidenced by stable culture establishment, reproducible performance, and pilot-relevant operability under controlled conditions. Establishment of a Standardized RoC Production System Successful establishment and sustained operation of axenic AMF Root Organ Cultures with defined contamination control measures. Continuous culture maintenance across multiple production cycles without loss of viability or functionality. Reproducible Inoculum Production and Quality Benchmarks Consistent production of AMF propagules (spores, hyphae, and colonized root segments) meeting predefined minimum propagule density and viability criteria. Demonstrated batch-to-batch reproducibility across independent production runs. Process Documentation and SOP Development Development and validation of comprehensive Standard Operating Protocols (SOPs) covering media preparation, inoculation, culture maintenance, harvesting, and short-term storage. Identification and documentation of critical process parameters influencing yield, quality, and stability. Biological Performance Validation Verification of AMF viability and infectivity through in vitro or controlled plant bioassays, demonstrating effective root colonization and functional symbiosis. Pilot-Scale Feasibility and Scalability Assessment Demonstration of RoC operability at pilot-relevant scale, with evaluation of production stability, resource requirements, and cost drivers. Identification of technical constraints and optimization opportunities for future scale-up. Translational Readiness and Industry Engagement Outputs Preparation of a technical validation dossier including production data, quality metrics, and performance results suitable for review by agri-input and fertilizer manufacturers. Establishment of a clear roadmap for post-project advancement toward TRL 7 through industry collaboration and technology transfer. Achievement of these criteria will confirm successful translation of AMF Root Organ Culture technology from laboratory validation to a standardized, pilot-scale, industry-relevant platform aligned with sustainable agriculture objectives.
Background Intellectual Property (Pre-existing IP) All intellectual property, know-how, methodologies, Standard Operating Protocols (SOPs), microbial cultures, process workflows, and technical expertise related to AMF Root Organ Culture (RoC) that exist prior to the commencement of the project shall remain the exclusive property of the applicant organization. The grant support shall not be construed as a transfer or assignment of ownership of such background intellectual property. Project-Generated Intellectual Property (Foreground IP) Any intellectual property generated directly as an outcome of the proposed project, including process improvements, scale-up methodologies, validation data, and performance benchmarks, shall be jointly reviewed in accordance with the policies of the Tamil Nadu Research Park Foundation. Ownership, access, and commercialization rights, if applicable, shall be governed by mutually agreed terms consistent with institutional and funding guidelines. Right to Use and Commercialize The applicant organization shall retain the right to use, further develop, and commercialize the project outcomes for research, pilot-scale deployment, and industry collaboration, subject to acknowledgment of grant support and compliance with applicable TNRPF IP and reporting policies. Confidentiality and Non-Disclosure All proprietary technical information, unpublished data, and process-level details shared during the course of the project shall be treated as confidential. Disclosure to third parties shall occur only with prior written consent from the applicant organization and in alignment with institutional confidentiality norms. Publications and Dissemination Scientific publications, presentations, or public disclosures arising from the project shall be permitted, provided they do not compromise protectable intellectual property or commercial interests. Prior review may be undertaken to safeguard patentability or technology transfer opportunities. Future Technology Transfer and Licensing Any future licensing, scale-up, or technology transfer arrangements arising from the project shall be undertaken through separate agreements, independent of the grant funding, ensuring clarity of ownership and commercial rights. These preconditions ensure protection of intellectual property while enabling collaborative research, responsible dissemination, and effective translation of AMF RoC technology toward commercial and societal impact.


Basic Information
Chimertech Private Limited
Biotech/Biosensors
Mastitis remains one of the most economically damaging and environmentally concerning diseases in the dairy industry. Treatment decisions at the farm level are largely empirical, with antibiotics administered without rapid confirmation of pathogen type or resistance profile. This leads to inappropriate drug selection, prolonged infections, repeated treatments, and significant milk discard during withdrawal periods. For farmers, the real financial burden is not just the cost of medicine, but lost milk yield, rejected consignments, increased veterinary visits, reduced reproductive performance, and premature culling. At the industry level, elevated somatic cell counts and antibiotic residues compromise milk quality, reduce processing efficiency, and threaten export compliance. Residue-contaminated milk can result in financial penalties and reputational damage across the supply chain. Environmentally, excessive and misdirected antibiotic use contributes to antimicrobial resistance (AMR), with resistant bacteria and residues entering soil and water through manure and runoff. This creates a broader One-Health risk linking animal health, human health, and environmental ecosystems. The core problem is the absence of a rapid, field-ready antibiotic decision system that enables evidence-based mastitis treatment within hours rather than days. Without precision tools at the point of care, dairy systems will continue to suffer economic loss, regulatory risk, and escalating antimicrobial resistance.
Basic Information
Chimertech Private Limited
Biotech/Biosensors
Mastitis remains one of the most economically damaging and environmentally concerning diseases in the dairy industry. Treatment decisions at the farm level are largely empirical, with antibiotics administered without rapid confirmation of pathogen type or resistance profile. This leads to inappropriate drug selection, prolonged infections, repeated treatments, and significant milk discard during withdrawal periods. For farmers, the real financial burden is not just the cost of medicine, but lost milk yield, rejected consignments, increased veterinary visits, reduced reproductive performance, and premature culling. At the industry level, elevated somatic cell counts and antibiotic residues compromise milk quality, reduce processing efficiency, and threaten export compliance. Residue-contaminated milk can result in financial penalties and reputational damage across the supply chain. Environmentally, excessive and misdirected antibiotic use contributes to antimicrobial resistance (AMR), with resistant bacteria and residues entering soil and water through manure and runoff. This creates a broader One-Health risk linking animal health, human health, and environmental ecosystems. The core problem is the absence of a rapid, field-ready antibiotic decision system that enables evidence-based mastitis treatment within hours rather than days. Without precision tools at the point of care, dairy systems will continue to suffer economic loss, regulatory risk, and escalating antimicrobial resistance.
IEPS00324
Allied Agriculture & Veterinary
Chimertech Pvt Ltd will provide complete technical and operational support for the whole project period. The company will contribute its proprietary PocRAST technology, including magnetic nanoparticle synthesis protocols, antimicrobial susceptibility testing workflow, portable device design, and AI-based interpretation software. Chimertech will lead product refinement, device optimization, and preparation of standardized consumables required for field validation. The R&D team will provide laboratory support for nanoparticle production, quality control testing, assay optimization, and troubleshooting during validation. The company will manufacture and supply pilot devices, MIC plates, and reagents required for large-scale testing. Technical personnel from Chimertech will assist in device deployment, training of field operators, and real-time data monitoring. Chimertech will also support data analysis, algorithm improvement, and performance reporting based on field results. Additionally, the company will contribute its existing veterinary and dairy network to facilitate structured sample collection and on-field coordination. Through these technical, operational, and ecosystem contributions, Chimertech will ensure smooth execution of the validation phase and readiness for commercial scale-up.
The project will be considered successfully completed when the PocRAST platform is demonstrated as a fully validated, field-ready, and commercially deployable rapid antimicrobial susceptibility testing system for mastitis management. Completion criteria will include large-scale field validation with statistically significant sample size, demonstrating high concordance (=93% sensitivity and specificity) with standard laboratory antimicrobial susceptibility testing methods. The system must consistently deliver antibiotic recommendations within four hours under real farm conditions, with low operational failure rate and acceptable reproducibility across different users and environments. The final deliverable will include a commercially finalized hardware unit, standardized and quality-controlled consumables (nanoparticles, MIC plates, reagents), and a validated interpretation engine capable of generating MIC values, treatment guidance, and withdrawal recommendations. All production SOPs, quality control protocols, risk assessment documentation, and user manuals must be completed. The platform should demonstrate a measurable reduction in empirical antibiotic use and improved treatment accuracy in field settings. The product will be considered commercially ready when manufacturing processes are standardized, validation reports are compiled, and the system is prepared for regulatory submission and structured market
All background intellectual property (including existing patents, know-how, formulations, algorithms, device designs, software architecture, and proprietary protocols) developed before the project shall remain the sole property of the respective owning party. Chimertech Pvt Ltd shall retain ownership of its pre-existing proprietary technologies, including magnetic nanoparticle synthesis methods, device engineering design, AI interpretation software, and integrated data systems. Any improvements, modifications, or product-level refinements arising directly from Chimertech’s core technology during the project shall remain the property of Chimertech. Intellectual property generated jointly through collaborative research activities shall be mutually discussed and governed through a separate written agreement prior to commercialization, clearly defining ownership, licensing rights, revenue sharing, and publication rights. Neither party shall disclose confidential technical information, trade secrets, or proprietary data to third parties without prior written consent. Academic publication of project results shall require prior review to ensure protection of patentable inventions and confidential information before public disclosure. Any patent filings arising from the project shall clearly define inventorship based on actual technical contribution. These conditions shall be formalized through a signed IP and Confidentiality Agreement prior to project commencement.


Basic Information
Vel SRK private Limited
Sustainable Infrastructure and Construction Technologies
Affordable and rapidly deployable housing solutions in India, particularly container-based housing used for worker accommodations, disaster relief shelters, migrant camps, and temporary commercial units, largely fail to address thermal comfort and energy efficiency. Standard shipping containers, being made of steel, experience excessive heat gain during hot–dry and warm–humid climatic conditions, leading to extreme indoor temperatures. As a result, occupants face severe thermal discomfort, increased heat stress, and health risks. To maintain livable conditions, these units depend heavily on air-conditioning or mechanical cooling systems, significantly increasing operational costs, electricity demand, and carbon emissions. Existing container housing solutions typically rely only on basic insulation or active HVAC systems, neither of which provide a sustainable, energy-efficient, and climate-responsive solution tailored to Indian conditions. Furthermore, high-end green building technologies remain economically unviable for low-cost and MSME-driven projects. There is therefore a critical need for an integrated, cost-effective, modular, and carbon-reducing thermal solution specifically designed for container housing that ensures indoor comfort while minimizing energy consumption and environmental impact.
Basic Information
Vel SRK private Limited
Sustainable Infrastructure and Construction Technologies
Affordable and rapidly deployable housing solutions in India, particularly container-based housing used for worker accommodations, disaster relief shelters, migrant camps, and temporary commercial units, largely fail to address thermal comfort and energy efficiency. Standard shipping containers, being made of steel, experience excessive heat gain during hot–dry and warm–humid climatic conditions, leading to extreme indoor temperatures. As a result, occupants face severe thermal discomfort, increased heat stress, and health risks. To maintain livable conditions, these units depend heavily on air-conditioning or mechanical cooling systems, significantly increasing operational costs, electricity demand, and carbon emissions. Existing container housing solutions typically rely only on basic insulation or active HVAC systems, neither of which provide a sustainable, energy-efficient, and climate-responsive solution tailored to Indian conditions. Furthermore, high-end green building technologies remain economically unviable for low-cost and MSME-driven projects. There is therefore a critical need for an integrated, cost-effective, modular, and carbon-reducing thermal solution specifically designed for container housing that ensures indoor comfort while minimizing energy consumption and environmental impact.
IEPS00323
Container Housing
9
The project will be considered successful upon achieving the following measurable outcomes: Material Validation Completed Identification and laboratory validation of suitable Phase Change Material (PCM) with a melting range between 26°C–32°C. Stability, thermal cycling, and leakage tests successfully completed. Prototype Development Achieved Fabrication of at least one full-scale PCM-infused wall and roof panel module compatible with standard shipping containers. Proper encapsulation and integration within prefabricated modular panels. Thermal Performance Improvement Demonstrated Measured indoor temperature reduction of minimum 5°C compared to a standard container without PCM. Demonstrated increase in thermal time-lag and reduced peak heat flux during daytime conditions. Energy Integration Functional Successful installation and operation of rooftop solar panel system to power lighting, fans, and monitoring systems. Basic energy management system operational and validated. Reduction in Cooling Dependency Demonstrated reduction in reliance on mechanical cooling systems (AC usage reduction benchmarked during testing phase). Cost & Scalability Validation Prototype cost assessment completed and validated for affordability within MSME construction budgets. Feasibility confirmed for modular mass production and retrofitting in existing container units. Documentation & Market Readiness Completion of technical documentation, testing reports, and performance validation data. Readiness level upgraded to a functional Proof of Concept (PoC) suitable for pilot deployment in worker housing or temporary commercial units.
Ownership of Innovation The concept, design methodology, and integration approach of the PCM-infused smart envelope for container housing are original to the applicant (SRK Builders). All design configurations, material integration techniques, and modular fabrication concepts developed under this project will remain the intellectual property of the applicant. Freedom to Operate Prior to commercialization, a basic prior-art and patent landscape review will be conducted to ensure no infringement of existing patents related to PCM integration or modular container housing systems. IP Protection Strategy Filing of a provisional patent application (if found novel after validation). Protection of design drawings, fabrication techniques, and thermal integration methods through appropriate IP mechanisms. Technical documentation and testing data to be maintained as confidential proprietary information. Grant Compliance The IVP grant will not claim ownership of the IP but may require reporting, acknowledgment, or compliance as per scheme guidelines. All rights to commercialization, licensing, and scaling shall remain with the applicant. Third-Party Materials Any PCM materials, solar components, or testing tools sourced externally will be procured under standard commercial licenses, ensuring no violation of third-party intellectual property rights.


Basic Information
CisGEN Biotech Discoveries Private Limited
Animal Husbandry
AI-Enabled Precision Reproductive Management Platform to Reduce Repeat Breeding and Infertility in Dairy Cattle.
Basic Information
CisGEN Biotech Discoveries Private Limited
Animal Husbandry
AI-Enabled Precision Reproductive Management Platform to Reduce Repeat Breeding and Infertility in Dairy Cattle.
IEPS00318
Animal Health Products
Diagnostics kits , Artifical Insemination Gun
Generation of a large, outcome-validated cervical image dataset covering estrus stages, pregnancy status, and early embryonic loss Development and validation of AI/ML models for estrus classification, optimal insemination timing, and early pregnancy detection with high accuracy Integration of AI-driven decision support into the CowVuw device and mobile application with stable field performance Demonstrated improvement in insemination timing accuracy and reduction in operator-dependent variability Early identification of non-pregnant and embryonic loss cases enabling timely re-insemination Measurable improvement in reproductive outcomes, including reduced repeat breeding and shorter inter-calving intervals Readiness of the platform for scalable commercial deployment with adoption by veterinarians and dairy stakeholders
CisGEN Biotech Discoveries Pvt. Ltd. retains full ownership of all pre-existing intellectual property, including the CowVuw device, associated hardware, software, and know-how. All intellectual property generated during the project, including AI/ML models, algorithms, datasets, and software integrations, shall vest exclusively with CisGEN. Any third-party or open-source tools used will comply with their respective license terms and will not restrict commercialization rights. CisGEN shall have the right to file, protect, and commercialize all project-related intellectual property in India and internationally. Funding agencies or collaborators, if any, shall have no ownership claims over the core IP, except non-exclusive rights for reporting or research as per applicable guidelines.


Basic Information
Circularbee Innovations Pvt Ltd
Circular Economy
Validation and Commercial Readiness Acceleration of Polymer-Free Home- Compostable Lignocellulosic Biomaterial Products under Indian Ambient Conditions
Basic Information
Circularbee Innovations Pvt Ltd
Circular Economy
Validation and Commercial Readiness Acceleration of Polymer-Free Home- Compostable Lignocellulosic Biomaterial Products under Indian Ambient Conditions
IEPS00304
Circularbee is an IP-driven deep-tech startup in alternative materials, building polymer-free biocomposites from multi agro waste for circular regenerative packaging applications. Its patented technology integrates material science, process engineering, and circular design to convert diverse biomass residues into moulded products without synthetic polymers, chemical plasticizers, or industrial recycling dependence. Circularbee protects system- level innovation through granted patents and trade-secret manufacturing know- how, creating a defensible materials platform with applications across foodservice, CSR deployments, and circular manufacturing clusters.
Circularbee will provide substantial non-financial support through technical expertise, industry problem definition, and commercialization pathway alignment. The organisation will share defined performance benchmarks, product application specifications, and market validation insights to guide research direction. Circularbee will facilitate real-world use-case integration by providing access to pilot users and decentralized composting environments for validation studies. The team will actively participate in technical review meetings, data interpretation, and translation of research outcomes into commercially deployable solutions. Additionally, Circularbee will provide strategic industry inputs toward regulatory alignment, certification readiness, and circular economy integration to ensure that research outputs directly support TRL advancement and market adoption.
The project will be considered successfully completed upon achievement of the following measurable technical, environmental, and commercialization-oriented outcomes: 1.Mechanical Performance Validation Completion •Generation of standardized mechanical test reports for finished compression- moulded home compostable products, including: –Tensile strength –Compressive load capacity –Thermal resistance under hot beverage conditions –Structural stability benchmarking against conventional pulp and plastic alternatives •Establishment of a validated performance dataset suitable for regulatory and market benchmarking. 2.Ambient-Condition Home Compostability Validation Completion •Development and execution of a reproducible ambient-condition compost testing protocol reflective of Indian household composting environments. •Documentation of: –Degradation kinetics timeline –Physical disintegration profile –Compost maturity indicators (C:N ratio, stability index, respiration rate where applicable) –Complete disintegration within defined ambient compost conditions •Confirmation of absence of persistent synthetic residues. 3.Soil Compatibility and Ecotoxicity Assessment Completion •Soil impact assessment post-compost integration, including: –Phytotoxicity screening –Seed germination and plant growth response –Evaluation of microbial compatibility –Heavy metal and contaminant analysis (if applicable) •Documentation demonstrating soil-safe reintegration of degraded material. 4.Carbon Stability and Biochar Pathway Quantification Completion •Carbon retention analysis under compost pathway. •Characterization of post-consumption material suitability for biochar conversion. •Quantification of carbon stability parameters and soil carbon impact modelling. •Preparation of a technical report outlining carbon pathway performance. 5.TRL Advancement Milestone •Demonstrated advancement from TRL 5 (prototype validated in relevant environment) to TRL 7 (system prototype demonstrated in operational environment), supported by: –Third-party validation reports –Environmental safety documentation –Performance benchmarking datasets –Defined certification pathway roadmap 6.Commercial & Regulatory Readiness Output •Preparation of a consolidated validation dossier suitable for: –Regulatory consultation –Certification submission –Institutional procurement evaluation –Investor due diligence •Defined roadmap for alignment with anticipated BIS/Indian compostability standards. Final Completion Condition: The project will be deemed complete when: All validation reports are submitted and technically reviewed Measurable performance and environmental criteria are met TRL advancement is documented A commercialization-ready validation dossier is generated
1.Background Intellectual Property Pushpalakshmi Mohan (IP owner & Director of Circularbee) represents and warrants that it possesses pre-existing proprietary intellectual property (“Background IP”) relating to its polymer-free lignocellulosic home compostable biomaterial platform. Background IP includes, but is not limited to: •Material compositions and formulation ratios •Natural binder chemistry and integration methodology •Compression moulding parameters and processing conditions •Product architecture, structural design and coating technology •Manufacturing workflows and trade secrets •Know-how, technical documentation, and proprietary data All Background IP shall remain the sole and exclusive property of IP owner. Nothing in this collaboration shall be construed as an assignment, transfer, license, or grant of ownership rights over IP owner’s Background IP unless explicitly agreed in writing. 2.Scope Limitation and Use Restriction The collaboration under the URP framework is strictly limited to independent validation and analytical assessment of finished products provided by IP owner,including: •Mechanical performance testing •Ambient-condition compostability validation •Soil compatibility and ecotoxicity assessment •Carbon stability and biochar pathway quantification The academic partner shall not: •Reverse engineer, deconstruct, or attempt to derive formulation compositions •Conduct compositional analysis beyond mutually agreed analytical parameters •Replicate, modify, or independently develop derivative biomaterial formulations based on exposure to IP owner’s products •Use IP owner’s samples, data, or know-how for any purpose outside the defined project scope 3.Confidential Information and Non-Disclosure Prior to commencement of technical discussions, both parties shall execute a legally binding Non- Disclosure Agreement (NDA). All proprietary information disclosed by IP owner, whether in written, oral, sample-based, or electronic form, shall be treated as Confidential Information and shall: Be used solely for the purpose of executing the defined project scope •Not be disclosed to third parties without prior written consent •Be protected with reasonable care consistent with institutional confidentiality practices Confidential obligations shall survive project completion or termination. 4.Foreground Intellectual Property Any intellectual property (“Foreground IP”) arising directly from validation methodologies, analytical frameworks, or testing protocols developed during the project shall be governed by a mutually agreed written IP ownership agreement executed prior to project initiation. Unless otherwise agreed in writing: •IP owner shall retain exclusive commercialization rights related to its biomaterial products and applications. •The academic institution may retain non-commercial research rights for academic purposes, subject to confidentiality and publication review provisions. Note-No Foreground IP shall encumber or dilute IP owner’s Background IP. 5.Publication and Disclosure Control No publication, academic paper, conference presentation, or public disclosure arising from this collaboration shall be made without prior written approval from IP owner. IP owner shall have the right to: •Review all proposed publications •Request redaction of confidential or proprietary information •Delay publication for a reasonable period to secure IP protection if necessary 6.No Implied License Nothing in this collaboration shall be construed as granting the academic partner any implied license, ownership interest, or commercialization rights in IP owner’s proprietary technology beyond the explicitly defined project scope. 7.Dispute and Jurisdiction Any disputes arising with respect to intellectual property ownership or confidentiality obligations shall be resolved in accordance with mutually agreed dispute resolution mechanisms and applicable Indian law.


Basic Information
Togle Automation Private Limited
Clean Tech and Manufacturing
Problem Statement: Fabrication of 0.8 mm stainless steel and 1.6 mm mild steel biomass stoves faces quality issues due to thin sheet handling, welding distortion, dimensional variation, and assembly misalignment. Current Issue: There is no standardized manufacturing process or defined tolerance limits for large-scale, consistent production.
Basic Information
Togle Automation Private Limited
Clean Tech and Manufacturing
Problem Statement: Fabrication of 0.8 mm stainless steel and 1.6 mm mild steel biomass stoves faces quality issues due to thin sheet handling, welding distortion, dimensional variation, and assembly misalignment. Current Issue: There is no standardized manufacturing process or defined tolerance limits for large-scale, consistent production.
IEPS00303
Manufacturing and in-house fabrication of forced-draft biomass gasifier cookstoves using thin-gauge mild steel for rural and semi-urban clean cooking applications.
Supply of fabricated stove samples for testing and validation Provide access to production and fabrication facilities Share production data and manufacturing workflow information Provide coordination support from technical manpower Support implementation of validated manufacturing protocols
Developed dimensional tolerance control standards for cutting and forming of 0.8 mm SS and 1.6 mm MS components Established optimal bend radius and safe forming strain limits for thin-gauge sheets Optimized welding sequence to minimize distortion and heat-induced deformation Designed and validated jigs and fixtures for repeatable and accurate assembly Established panel alignment and gap control methodology Developed residual stress minimization protocol for thin sheet fabrication Documented validated Design-for-Manufacturability (DFM) protocol with defined tolerance limits and process parameters Demonstrated measurable reduction in burr formation, dimensional variability, distortion, and panel misalignment in pilot batch production Achieved statistical process capability validation (Target Cp = 1.33) Prepared standardized Manufacturing SOP manual for consistent large-batch production Successful completion will be demonstrated through pilot batch validation showing controlled fabrication variability, improved dimensional accuracy, reduced distortion, and repeatable assembly quality.
* Existing stove design, burner geometry, and product-related IP remain with Togle Automation Pvt. Ltd. * Any newly developed manufacturing optimization models, DFM protocols, fixture designs, or patentable innovations arising from the project shall be jointly owned in proportion to contribution, as defined in the MoU. * Industry retains first right of commercialization. * Confidentiality and NDA agreements shall be executed prior to project initiation.


Basic Information
AgriDroid Techintel Solutions Private Limited
Zero Emission Sugarcane Harvester - EV - Agriculture
The sugarcane harvesting industry in India operates on diesel-heavy, high-cost machinery with rising fuel expenses, labor shortages, and increasing environmental concerns. There is an urgent need for a cost-efficient, electric-powered, and sustainable harvesting solution to improve profitability while reducing carbon emissions.
Basic Information
AgriDroid Techintel Solutions Private Limited
Zero Emission Sugarcane Harvester - EV - Agriculture
The sugarcane harvesting industry in India operates on diesel-heavy, high-cost machinery with rising fuel expenses, labor shortages, and increasing environmental concerns. There is an urgent need for a cost-efficient, electric-powered, and sustainable harvesting solution to improve profitability while reducing carbon emissions.
IEPS00287
Mechanized sugarcane harvesting services, For Farmers, Sugarcane Factories
AgriDroid, manufacturer of the AgriDroid EV Sugarcane Harvester, contributes significant non-financial value through its technical expertise, manufacturing capability, field experience, and industry network. The organization provides: Indigenous Newly Build Agridroid EV Sugarcane Harvesters, EV retrofit design and engineering expertise Manufacturing and assembly infrastructure Live field-testing and operational validation support Skilled technical team and operator training programs Sustainability framework aligned with carbon reduction goals AgriDroid strengthens the project through innovation, domain knowledge, infrastructure readiness, and ecosystem connectivity without direct financial contribution.
The project will be considered successful upon achieving validated Newly build Agridroid EV Sugarcane Harvester and retrofit integration for existing diesel harvester , 8-hour operational stability, targeted harvesting output of 100 tons per day, substantial reduction in operating cost and carbon emissions, and successful field deployment in farming conditions. As we are the diesel engine sugarcane harvesting vendor, operation is successful on 12+ years of uninterrupted service, harvesting and supplying over 2 lakh tons of sugarcane to EID Parry Sugars and nearby factories, maintaining operational efficiency, financial sustainability, and strong farmer-factory trust relationships.
AgriDroid ensures full ownership and lawful usage of intellectual property related to the EV retrofit technology, with a structured plan to protect patents, designs, and branding to safeguard innovation and commercial rights. Patent Publication Details Application No.: 202541036672 A Country: India Date of Filing: 16/04/2025 Publication Date: 09/05/2025 Title: Electric Retrofit System and Method for Diesel-Powered Sugarcane Harvesters with Battery Swapping and Solar Charging Integration No. of Pages: 23 No. of Claims: 11 International Classification (IPC): B60L0053800000 H02J0007000000 H01M0010613000 B60S0005060000 H02J0007350000 Applicants / Inventors Siva. B Sasirekha. S


Basic Information
VISHACATECH ENGINEERS
MSME
1. Conventional system are inefficient in market 2. Large volume of solid waste generation 3. Solid waste cannot be used and used as land fills only. ( Leads to leaching to groundwater) 4. Large volume of chemicals used 5. Requires large area of land 6. Extensive labour required 7. Extensive electricity required 8. High treatment time 9. High capital investment required 10. High maintenance (frequent replacement of spares and solid waste transportation)
Basic Information
VISHACATECH ENGINEERS
MSME
1. Conventional system are inefficient in market 2. Large volume of solid waste generation 3. Solid waste cannot be used and used as land fills only. ( Leads to leaching to groundwater) 4. Large volume of chemicals used 5. Requires large area of land 6. Extensive labour required 7. Extensive electricity required 8. High treatment time 9. High capital investment required 10. High maintenance (frequent replacement of spares and solid waste transportation)
IEPS00278
MACHINERY MANUFACTURES FOR INDUSRITAL EFFLUENT TRETEMENT SYSTEMS
NA
1. Indicates by stabilization of treatment meets pcb standards 2. Reduyof operation time 3. Resucing the waste ( less than 10kg) 4. Stabilization of chemicals inputs 5. Increasing the recovery chemicals 6. Reduction of electricity demand 7. Optimization the requirements for large volume of effluent treatment
AWAITING FOR IP NUMBER


Basic Information
Pagadev Deeptech private limited
Defense and surveilance
Current unmanned aerial systems depend on imported, closed-source electronic subsystems that restrict customization, increase costs, and pose supply-chain risks. Lack of indigenous, validated FC, ESC, and propulsion electronics limits self-reliant development of lightweight aerial platforms.
Basic Information
Pagadev Deeptech private limited
Defense and surveilance
Current unmanned aerial systems depend on imported, closed-source electronic subsystems that restrict customization, increase costs, and pose supply-chain risks. Lack of indigenous, validated FC, ESC, and propulsion electronics limits self-reliant development of lightweight aerial platforms.
IEPS00271
Manufacturing
900000
Successful indigenous development of FC, ESC, and BLDC subsystems meeting defined electrical, control, and safety performance benchmarks. Demonstrated integrated operation of the propulsion and control electronics under representative flight-load conditions. Reduction in dependency on imported drone electronics with documented design ownership and customisation capability.
Patentable and commercially viable IP created under the grant shall be jointly owned by the academia and the industry partner, in proportion to our respective technical and financial contributions.


Basic Information
Hexwave Technologies
Electric Vehicle (EV) Charging Infrastructure sector.
Public sector electric vehicle fleets lack an integrated, scalable multiport charging and energy management system, resulting in inefficient energy utilization, higher operational costs, and reduced fleet availability.
Basic Information
Hexwave Technologies
Electric Vehicle (EV) Charging Infrastructure sector.
Public sector electric vehicle fleets lack an integrated, scalable multiport charging and energy management system, resulting in inefficient energy utilization, higher operational costs, and reduced fleet availability.
IEPS00268
EV Charging Point Manufacturing & Infra Provider
The organization will contribute non-financial support in the form of engineering expertise, existing EV charging design knowledge, laboratory infrastructure, simulation tools, prototype development facilities, and access to cloud-based fleet management platforms. Additionally, the organization will provide manpower for hardware design, firmware development, IoT integration, testing, and field validation, along with technical mentorship, pilot deployment support, and coordination with public sector fleet operators for real-world evaluation.
The project will be considered successful upon the design, development, and validation of a fully functional smart multiport EV charging prototype demonstrating simultaneous vehicle charging with stable dynamic load sharing, successful integration with the cloud-based fleet energy management platform, compliance with electrical safety and communication standards, and completion of pilot deployment in a public sector fleet environment showing measurable improvements in charging efficiency, energy utilization, system reliability, and operational readiness for large-scale deployment.
All background intellectual property, including existing charger designs, firmware modules, cloud platform components, and simulation models owned by the organization, will remain the property of the organization. Any new hardware designs, software algorithms, system architectures, and data analytics methodologies developed during the project will be jointly protected through appropriate intellectual property mechanisms such as patents, copyrights, and design registrations as applicable. Necessary confidentiality agreements will be maintained among project partners to ensure protection of proprietary information while enabling technology commercialization and large-scale public sector deployment.


Basic Information
Propel Tech Innovations
Defense
Development of lightweight, impact-resistant rubberized Kevlar fuel tanks for Aviation Turbine Fuel (ATF) to enhance safety, reduce leakage risks, and improve performance in aerospace and defense applications.
Basic Information
Propel Tech Innovations
Defense
Development of lightweight, impact-resistant rubberized Kevlar fuel tanks for Aviation Turbine Fuel (ATF) to enhance safety, reduce leakage risks, and improve performance in aerospace and defense applications.
IEPS00267
Research and development of advanced composite materials and fuel storage systems for aerospace and defense applications, focusing on lightweight, impact-resistant, and self-sealing technologies.
- Design and development of fuel tank prototype - Material selection and testing (Kevlar, rubber composites) - CAD modeling and simulation - Fabrication and experimental validation - Research documentation and technical reporting
- Successful design and fabrication of a rubberized Kevlar fuel tank prototype - Demonstration of impact resistance and puncture resistance - Leak-proof performance under simulated conditions - Weight reduction compared to conventional metal tanks - Validation through basic mechanical and safety testing
The proposed technology is an original design developed by the team. Any intellectual property generated during the project, including design, material composition, and fabrication techniques, will be considered for patent filing. The organization is open to joint IP ownership or technology transfer agreements as per Tamil Nadu Research Park Foundation guidelines.


Basic Information
Lotus Enviro System Private Limited
Environment & Sustainability
Open-cast mining operations across India generate large volumes of mine water containing dissolved heavy metals due to interaction with exposed geological formations and mine overburden. These waters often require treatment prior to discharge or reuse, yet conventional processes focus primarily on contaminant removal rather than recovery. Valuable metals such as copper, zinc, iron, and others present in dissolved form are lost during treatment, representing both economic leakage and environmental liability. There is a critical need for an integrated technology that enables the selective recovery of commercially valuable heavy metals while reclaiming mine water to near-potable standards for sustainable reuse.
Basic Information
Lotus Enviro System Private Limited
Environment & Sustainability
Open-cast mining operations across India generate large volumes of mine water containing dissolved heavy metals due to interaction with exposed geological formations and mine overburden. These waters often require treatment prior to discharge or reuse, yet conventional processes focus primarily on contaminant removal rather than recovery. Valuable metals such as copper, zinc, iron, and others present in dissolved form are lost during treatment, representing both economic leakage and environmental liability. There is a critical need for an integrated technology that enables the selective recovery of commercially valuable heavy metals while reclaiming mine water to near-potable standards for sustainable reuse.
IEPS00266
NABL Accredited Environmental Testing Laboratory
INR 9,00,000/-
The success criteria is to develop a TRL 6/7 level electrochemical system to recover valuable heavy metals with resale value and reclaim near potable water in the process specifically from Mining Water. The global mining water treatment systems market size was estimated at USD 4,751.0 million in 2024 and is projected to reach USD 7,845.8 million by 2033, growing at a CAGR of 5.8% from 2025 to 2033. The strict ZLD statutory requirements in the Indian market further strengthen the case for the commercialization of such a technology.
Our company, M/s Lotus Enviro System Private Limited, shall remain the applicant of any patentable technology that arises out of this research. All contributors from both the company and academia side will be added to the list of inventors. As of now, there are no patents filed towards this approach.


Basic Information
Artispec Technologies Private Limited
DEEP TECH - AI Industrial based automation
Industrial sectors such as aerospace, automotive, energy, defense manufacturing, casting, additive manufacturing, electronics, and heavy engineering rely heavily on X-ray radiography-based Non-Destructive Testing (NDT) for internal defect inspection. Conventional radiographic inspection methods depend significantly on manual interpretation by trained inspectors, leading to variability, subjectivity, delayed decision-making, and scalability limitations. Current inspection workflows face multiple industrial challenges: Increasing production speed demands real-time inspection. Complex geometries produced by advanced manufacturing techniques (e.g., additive manufacturing) introduce non-standard defect patterns. Skilled radiographic inspectors are scarce. Human inspection introduces inconsistencies and fatigue-related errors. Static imaging parameters fail to adapt dynamically to material variations. Lack of predictive defect intelligence for process optimization. Existing automated solutions are rule-based and lack contextual learning capability across different materials, thicknesses, and defect morphologies. The industry requires a next-generation intelligent inspection platform capable of: Autonomous defect detection and classification. Adaptive imaging parameter optimization. Real-time decision intelligence. Continuous learning from inspection data. Integration with Industry 4.0 manufacturing ecosystems. This project proposes the development of an AI-powered adaptive X-ray radiography inspection system combining advanced imaging physics, deep learning, edge computing, and digital twin analytics to transform inspection from a reactive quality-control process into a predictive manufacturing intelligence system
Basic Information
Artispec Technologies Private Limited
DEEP TECH - AI Industrial based automation
Industrial sectors such as aerospace, automotive, energy, defense manufacturing, casting, additive manufacturing, electronics, and heavy engineering rely heavily on X-ray radiography-based Non-Destructive Testing (NDT) for internal defect inspection. Conventional radiographic inspection methods depend significantly on manual interpretation by trained inspectors, leading to variability, subjectivity, delayed decision-making, and scalability limitations. Current inspection workflows face multiple industrial challenges: Increasing production speed demands real-time inspection. Complex geometries produced by advanced manufacturing techniques (e.g., additive manufacturing) introduce non-standard defect patterns. Skilled radiographic inspectors are scarce. Human inspection introduces inconsistencies and fatigue-related errors. Static imaging parameters fail to adapt dynamically to material variations. Lack of predictive defect intelligence for process optimization. Existing automated solutions are rule-based and lack contextual learning capability across different materials, thicknesses, and defect morphologies. The industry requires a next-generation intelligent inspection platform capable of: Autonomous defect detection and classification. Adaptive imaging parameter optimization. Real-time decision intelligence. Continuous learning from inspection data. Integration with Industry 4.0 manufacturing ecosystems. This project proposes the development of an AI-powered adaptive X-ray radiography inspection system combining advanced imaging physics, deep learning, edge computing, and digital twin analytics to transform inspection from a reactive quality-control process into a predictive manufacturing intelligence system
IEPS00255
Manufacturing
The organization will provide: Access to industrial X-ray radiography equipment and inspection facilities. Real-world industrial components for testing and validation. Domain experts in NDT Level II/III for annotation and validation. Manufacturing datasets and historical inspection archives. Test environment within production lines. Engineering manpower support for integration and calibration. Industry mentorship and validation workshops. Regulatory and certification guidance (ASME, ASTM, ISO NDT standards).
The project will be considered successful upon achieving the following measurable outcomes: Technical Outcomes AI defect detection accuracy = 95% precision and recall across multiple defect classes. Automated defect classification across minimum 10 industrial defect categories: Porosity Cracks Inclusions Lack of fusion Voids Corrosion zones Real-time inspection inference time < 2 seconds per scan. Adaptive exposure parameter optimization reducing rescans by = 40%. Cross-material generalization capability (steel, aluminum). System Outcomes Deployment-ready edge AI inspection module. Integration with MES/ERP or Industry 4.0 dashboards. Explainable AI visualization for inspector validation. Automated inspection report generation. Industrial Impact Outcomes Reduction in manual inspection effort by = 60%. Improvement in defect detection consistency. Pilot validation in at least two industrial sectors.
Background IP remains with respective contributors. Newly developed AI models, datasets, algorithms, and system architecture shall be jointly owned under mutually agreed licensing terms. Commercialization rights may be granted through licensing or technology transfer agreements. Dataset anonymization and industrial confidentiality will be strictly maintained. Patent filing opportunities will be jointly evaluated prior to publication. Compliance with national and international export-control regulations for imaging technology


Basic Information
QUANTANICS TECHSERV
Energy
Energy theft, smart meter tampering, and operational anomalies significantly impact modern power distribution systems, leading to financial losses, grid instability, and reduced reliability. Existing rule-based and traditional statistical detection methods lack adaptability, real-time processing capability, and accuracy in identifying complex consumption patterns. Therefore, there is a need for an AI-driven, scalable, and real-time anomaly detection framework capable of accurately identifying unauthorized energy usage and operational irregularities in smart grids.
Basic Information
QUANTANICS TECHSERV
Energy
Energy theft, smart meter tampering, and operational anomalies significantly impact modern power distribution systems, leading to financial losses, grid instability, and reduced reliability. Existing rule-based and traditional statistical detection methods lack adaptability, real-time processing capability, and accuracy in identifying complex consumption patterns. Therefore, there is a need for an AI-driven, scalable, and real-time anomaly detection framework capable of accurately identifying unauthorized energy usage and operational irregularities in smart grids.
IEPS00251
Research and Development in Smart Grid Analytics and Artificial Intelligence-based Energy Management Systems focusing on real-time anomaly detection, energy theft prevention, and smart meter data intelligence.
100000
Achieving anomaly detection accuracy = 95% False Positive Rate = 3% Real-time detection latency < 2 seconds Successful integration of SVM, RF, CNN, LSTM, and Autoencoder models Hardware validation using smart meter testbed Deployment-ready prototype with dashboard monitoring Reduction of simulated energy theft cases by = 90% Scalability validation for large smart grid datasets
All developed algorithms, models, and system architecture will be subject to Intellectual Property (IP) protection. Dataset usage will comply with data privacy and regulatory standards. Any proprietary smart meter hardware or communication protocols remain the property of the collaborating organization. Research outcomes may be published after necessary IP filings. Joint IP ownership may be considered if developed in collaboration with sponsoring organization.


Basic Information
Terionix Recycling Pvt Ltd
Private Limited Company
The increasing generation of electronic waste has created significant challenges in traceability, scientific segregation, and efficient resource recovery. Conventional e-waste handling systems lack real-time digital tracking, intelligent classification, and measurable recovery mapping, leading to environmental risks, compliance gaps, and loss of valuable materials. There is a need for an IoT-enabled, data-driven system that enhances transparency, optimizes reuse and recycling pathways, and supports sustainable and efficient e-waste management.
Basic Information
Terionix Recycling Pvt Ltd
Private Limited Company
The increasing generation of electronic waste has created significant challenges in traceability, scientific segregation, and efficient resource recovery. Conventional e-waste handling systems lack real-time digital tracking, intelligent classification, and measurable recovery mapping, leading to environmental risks, compliance gaps, and loss of valuable materials. There is a need for an IoT-enabled, data-driven system that enhances transparency, optimizes reuse and recycling pathways, and supports sustainable and efficient e-waste management.
IEPS00250
Terionix Recycling is an Indian-based, licensed, and standards-compliant e-waste management company headquartered in Vellore, India. With a strong focus on electronic waste recycling, we are committed to protecting the environment and building a sustainable future for generations to come. At Terionix, we believe that every electronic device holds value. Through advanced recycling processes, we recover valuable materials, minimize waste, and prevent harmful components from ending up in landfills. Our state-of-the-art facilities and cutting-edge technology ensure that all e-waste is processed with the utmost care, following strict environmental and safety standards.
Our Non Financial contribution will be Rs 9,55,000. • Provision of access to e-waste processing facilities and operational infrastructure.( Rs 2,00,000) • Technical guidance and domain expertise from recycling and compliance professionals. (1,00,000) • Access to real-time operational data for system design and validation. (Rs 75,000) • Support for pilot implementation and on-site testing of the IoT system.(Rs 3,00,000) • Mentorship, supervision, and training support for the project team. (Rs 1,00,000) • Facilitation of regulatory insights and industry best practices. (Rs 30,000) • Permission to conduct field studies, workflow integration, and performance evaluation. (Rs 1,50,000) Total : Rs 9,55, 000
? Successful deployment of a functional IoT-enabled smart collection-and-tracking prototype. ? Accurate digital logging and real-time traceability of collected e-waste items. ? Effective automated classification into reuse, refurbishment, or recycling categories. ? Measurable improvement in resource recovery efficiency and reduction in improper disposal. ? Generation of compliance-ready reports and sustainability metrics through the digital dashboard.
The proposed IoT-enabled system introduces multiple innovation components that may qualify for intellectual property protection. Key IP elements include: Patentable Components • Smart bin architecture integrating multi-sensor classification mechanisms • AI-assisted device condition assessment algorithms • Automated routing logic for reuse, refurbishment, and material recovery • Resource recovery estimation model based on device metadata If the hardware design, classification algorithm, or recovery mapping model demonstrates novelty and industrial applicability, they may be eligible for patent filing under Indian Patent Law. Software Copyright • Cloud-based dashboard architecture • Data visualization modules • Analytics engine • Mobile/web application interfaces All original source code and software frameworks developed for the project will be protected under copyright law. Database Rights The structured digital inventory of e-waste lifecycle data, recovery statistics, and analytics insights may constitute a proprietary database asset of Terionix Recycling Pvt Ltd. Trade Secrets Operational workflows, recovery coefficients, predictive analytics models, and business intelligence algorithms can be maintained as confidential trade secrets to ensure competitive advantage. Industry Collaboration & Ownership Clear agreements must define ownership of innovations developed collaboratively between Terionix, academic institutions, or technology partners. IP sharing, licensing, and commercialization rights should be formalized before deployment.


Basic Information
SPAC STARCH PRODUCTS (INDIA) PRIVATE LIMITED
Manufacturing
Conventional anaerobic digestion systems in cassava processing industries are limited to methane-rich biogas production, which has lower combustion efficiency, a narrow flammability range, slow flame speed, and suboptimal energy recovery, reducing its effectiveness as a high-performance renewable fuel. ? High-strength cassava industrial wastewater contains complex carbohydrates and metabolites that hinder efficient hydrolysis, hydrogen generation, and overall process stability. This results in low energy conversion efficiency, extended retention times, and incomplete waste valorization.
Basic Information
SPAC STARCH PRODUCTS (INDIA) PRIVATE LIMITED
Manufacturing
Conventional anaerobic digestion systems in cassava processing industries are limited to methane-rich biogas production, which has lower combustion efficiency, a narrow flammability range, slow flame speed, and suboptimal energy recovery, reducing its effectiveness as a high-performance renewable fuel. ? High-strength cassava industrial wastewater contains complex carbohydrates and metabolites that hinder efficient hydrolysis, hydrogen generation, and overall process stability. This results in low energy conversion efficiency, extended retention times, and incomplete waste valorization.
IEPS00249
SPAC Starch Products (India) Private Limited, Tamil Nadu, operates in the agro-processing sector, specializing in cassava (tapioca) processing. The industry produces starch, sago, modified starch derivatives, and related value-added products. • Industrial operations involve washing, peeling, rasping, starch extraction, and drying processes, which generate significant quantities of high-strength wastewater and solid organic residues rich in starch and biodegradable matter. The industry caters to the food, textile, pharmaceutical, and paper industries, serving both domestic and export markets. • The facility operates an effluent treatment plant (ETP) to meet environmental regulations; however, the high organic load of the wastewater presents both environmental management challenges and opportunities for renewable energy recovery.
The industry will provide comprehensive non-financial support for the project. The organization will supply a continuous and reliable source of cassava industrial wastewater and solid residues required for laboratory and pilot-scale experiments. Provide access to existing effluent treatment plant (ETP) infrastructure and on-site facilities, which provide process validation and scale-up studies. Share plant-level operational data, including wastewater characteristics, organic loading rates, and current energy consumption patterns. Technical personnel from the company will collaborate with the research team to assist in process monitoring, pilot testing, and performance evaluation under real industrial conditions. Additionally, the organization will support field implementation, provide space for installation of pilot reactors (if required), and assist in regulatory compliance and technology integration within the existing processing system. This collaborative support will enable effective translation of laboratory findings into an industrially scalable biohythane production system.
The project will be considered completed upon achieving the following measurable outcomes: ? Development and validation of a 100- 500-L two-stage anaerobic digestion system optimized for biohythane production from cassava industrial wastewater. ? Achievement of hydrogen enrichment up to ~30% in the final gas composition, improving the hydrogen-to-methane ratio compared to conventional methane-dominant biogas systems. ? ~ 40% enhancement in overall energy recovery efficiency compared to existing single-stage anaerobic digestion systems. ? Stable operation under high organic loading conditions with reduced hydraulic retention time (HRT) and minimized volatile fatty acid accumulation. ? A maximum of 85% COD reduction efficiency, demonstrating effective waste stabilization and regulatory compliance. ? Successful pilot-scale validation at industry site with consistent gas yield and operational stability for a defined continuous operational period (e.g., 60–90 days). ? Techno-economic feasibility assessment demonstrating industrial scalability and potential reduction in greenhouse gas emissions.
The intellectual property generated under the project shall be jointly owned by the Industry and research institution, while the industry partner will receive the first rights of commercial exploitation. Licensing and royalty terms will be mutually agreed upon prior to commercialization.


Basic Information
ADHVX Industries
Industrial automation with edge computing and real-time analytics, Digital Fabrication & Smart Manufacturing
Digital fabrication and smart manufacturing facilities extensively use equipment such as 3D printers, 3D scanners, laser cutters, CNC hybrids, and prototyping machines. A majority of these machines—especially legacy and mid-range systems—operate as standalone assets with no built-in capability for machine state monitoring, utilization analytics, or predictive maintenance. Current industrial monitoring solutions rely on controller-level integration, proprietary protocols, or invasive sensor instrumentation, making them unsuitable for retrofit deployment across heterogeneous fabrication environments. These approaches increase cost, downtime, and deployment complexity, and often fail in academic labs, MSMEs, and rapid prototyping centers. There is a clear need for a machine-agnostic, non-intrusive edge intelligence solution capable of inferring machine operational states and predicting failure patterns using electrical, energy, and operational signal signatures, validated under real fabrication workloads without accessing machine controllers.
Basic Information
ADHVX Industries
Industrial automation with edge computing and real-time analytics, Digital Fabrication & Smart Manufacturing
Digital fabrication and smart manufacturing facilities extensively use equipment such as 3D printers, 3D scanners, laser cutters, CNC hybrids, and prototyping machines. A majority of these machines—especially legacy and mid-range systems—operate as standalone assets with no built-in capability for machine state monitoring, utilization analytics, or predictive maintenance. Current industrial monitoring solutions rely on controller-level integration, proprietary protocols, or invasive sensor instrumentation, making them unsuitable for retrofit deployment across heterogeneous fabrication environments. These approaches increase cost, downtime, and deployment complexity, and often fail in academic labs, MSMEs, and rapid prototyping centers. There is a clear need for a machine-agnostic, non-intrusive edge intelligence solution capable of inferring machine operational states and predicting failure patterns using electrical, energy, and operational signal signatures, validated under real fabrication workloads without accessing machine controllers.
IEPS00248
ADHVX Industries is specializing in embedded systems, edge intelligence platforms, and smart retrofit solutions for manufacturing and fabrication environments. The company focuses on non-intrusive digital monitoring, machine intelligence, and rapid deployment architectures that enable legacy and mixed-generation industrial equipment to participate in Industry 4.0 ecosystems without controller modification.
• Access to operational digital fabrication shop-floors and equipment • Availability of real-world operational datasets from fabrication machines • Engineering support for system deployment, tuning, and validation • Support for testing, benchmarking, and pilot implementation • Industry mentorship for productization, scalability, and commercialization
• Development of a non-intrusive, edge-based machine monitoring prototype • Reliable machine state inference across multiple fabrication machine types • Predictive maintenance models validated under real operating conditions • Successful multi-machine pilot deployment in live fabrication environments • Technology Readiness Level (TRL) advancement from TRL-4 to TRL-7 • Demonstrated readiness for scalable deployment and commercialization
Background intellectual property related to embedded architectures, signal acquisition methods, and deployment frameworks shall remain with ADHVX Industries. Foreground IP generated during the project may lead to patentable outcomes and shall be governed by mutually agreed IP ownership and commercialization terms between the participating parties.


Basic Information
PRECISOL AUTOMATION INDIA PVT LTD
INDUSTRIAL AUTOMATION
Indigenous Development of High-Precision Ultrasonic and Electromagnetic Flow Meters for Industrial and Utility Automation
Basic Information
PRECISOL AUTOMATION INDIA PVT LTD
INDUSTRIAL AUTOMATION
Indigenous Development of High-Precision Ultrasonic and Electromagnetic Flow Meters for Industrial and Utility Automation
IEPS00240
PRODUCT MANUFACTURING
TECHNICAL AND MANPOWER SUPPORT.
TRL 3 – We have completed the mathematical modeling of the Time of Flight (ToF) algorithms and high-gain signal conditioning circuits. Additionally, we conducted lab-scale simulations of fluid dynamics and magnetic field distributions using Finite Element Method (FEM) tools. Our initial breadboard prototypes have successfully demonstrated flow detection in controlled laboratory environments.
Not yet filed.


Basic Information
Vee Technologies Pvt Ltd
Healthcare & Life Sciences – Medical Devices
Vee Technologies, a medical technology innovator and service provider in health scector, invites joint proposals from academic institutions and industry partners for the co-development of an Intelligent Textile based Wearable System. Chronic venous disorders, particularly varicose veins, affect a substantial proportion of adults between 30–60 years of age worldwide. Early stages are frequently asymptomatic, leading to delayed diagnosis and progression to complications such as edema, skin changes, venous ulcers, and chronic pain. Existing management strategies including compression therapy and surgical or minimally invasive procedures are compliance-dependent, costly, and invasive. Despite the high prevalence of varicose veins and its progressive nature, there is no integrated wearable system that: • Objectively assesses disease severity in early and asymptomatic stages, • Continuously monitors venous flow dynamics in real-world conditions, and • Provides active, personalized therapeutic intervention to enhance venous return and manage symptoms non-invasively. To address this unmet need, Vee Technologies invites research proposals for the design, development, and validation of an Intelligent Wearable System that integrates: • A Varicose Vein Assessment Module (severity estimation and monitoring) • Integrated Magneto Stockings (passive/active circulatory enhancement) • A Functional Electrical Stimulation (FES) Module (active calf muscle pump activation) The goal is to create a clinically validated, non-invasive, comfortable, and cost-effective solution for early detection and long-term management of varicose veins.
Basic Information
Vee Technologies Pvt Ltd
Healthcare & Life Sciences – Medical Devices
Vee Technologies, a medical technology innovator and service provider in health scector, invites joint proposals from academic institutions and industry partners for the co-development of an Intelligent Textile based Wearable System. Chronic venous disorders, particularly varicose veins, affect a substantial proportion of adults between 30–60 years of age worldwide. Early stages are frequently asymptomatic, leading to delayed diagnosis and progression to complications such as edema, skin changes, venous ulcers, and chronic pain. Existing management strategies including compression therapy and surgical or minimally invasive procedures are compliance-dependent, costly, and invasive. Despite the high prevalence of varicose veins and its progressive nature, there is no integrated wearable system that: • Objectively assesses disease severity in early and asymptomatic stages, • Continuously monitors venous flow dynamics in real-world conditions, and • Provides active, personalized therapeutic intervention to enhance venous return and manage symptoms non-invasively. To address this unmet need, Vee Technologies invites research proposals for the design, development, and validation of an Intelligent Wearable System that integrates: • A Varicose Vein Assessment Module (severity estimation and monitoring) • Integrated Magneto Stockings (passive/active circulatory enhancement) • A Functional Electrical Stimulation (FES) Module (active calf muscle pump activation) The goal is to create a clinically validated, non-invasive, comfortable, and cost-effective solution for early detection and long-term management of varicose veins.
IEPS00234
Product Engineering and IT Solutions
Engineering and Technology Design and Development Expertise, Product Development Facilities, Machineries and Resource Facilitation
• Functional prototype (Technology Readiness Level 5–7 preferred) • Multimodal sensing module with validated accuracy (=85% compared to Doppler reference where applicable) • Closed-loop control system integrating assessment and therapy • Mobile or cloud-based monitoring interface
1. Background IP 1.1. Any intellectual property (including patents, designs, copyrights, know-how, algorithms, prototypes, data, or trade secrets) that exists prior to the commencement of the project (“Background IP”) shall remain the sole property of the respective owning party. 1.2. All participating institutions shall disclose relevant Background IP at the proposal stage. 1.3. Background IP, if required for project execution, shall be licensed to the project consortium under mutually agreed, non-exclusive terms solely for research purposes. 2. Foreground IP (Project-Generated IP) 2.1. Intellectual Property generated as a direct outcome of the funded project (“Foreground IP”) shall be jointly owned by the participating parties in proportion to their technical and financial contribution, unless otherwise agreed in a formal Consortium Agreement. 2.2. In case the project is industry-sponsored under TNRPF, the following model is proposed: The Industry Partner shall retain primary commercialization rights. Academic/Research Partner(s) shall retain co-ownership rights for research, academic, and publication purposes. Revenue-sharing terms shall be mutually agreed prior to commercialization. 2.3. If IP is generated solely by one partner, ownership shall vest with that partner, with licensing terms negotiated for other collaborators if required. 3. IP Protection and Filing 3.1. All patentable inventions arising from the project shall be identified promptly and disclosed to all consortium members. 3.2. The lead industry partner (or mutually agreed IP management entity) shall: Facilitate patent search and prior art analysis Bear initial filing costs (unless otherwise agreed) Coordinate national and/or international patent filings 3.3. Decisions regarding jurisdiction (India and/or international filing under PCT) shall be taken jointly based on commercial potential. 4. Commercialization Rights 4.1. The Industry Partner shall have the first right of refusal for commercialization of project outcomes. 4.2. Commercialization may include: Manufacturing and product development Licensing to third parties Technology transfer agreements 4.3. Revenue sharing from commercialization shall follow a pre-agreed formula defined in the Consortium Agreement and aligned with TNRPF norms. 5. Publication Rights 5.1. Academic partners shall have the right to publish research findings in journals and conferences. 5.2. However, publication shall: Be subject to prior written consent of consortium partners Ensure protection of patentable material before public disclosure Respect confidentiality obligations 5.3. A review period of 60–90 days prior to publication submission shall be provided to enable IP filing. 6. Confidentiality 6.1. All proprietary technical, clinical, commercial, and financial information shared during the project shall be treated as confidential. 6.2. A Non-Disclosure Agreement (NDA) shall be executed among all participating parties prior to project initiation. 7. Technology Transfer and Licensing 7.1. In the event the Industry Partner does not pursue commercialization within an agreed timeframe, other consortium partners may seek commercialization rights under mutually agreed licensing terms. 7.2. Licensing models may include: Exclusive license Non-exclusive license Territory-specific licensing


Basic Information
BHAARATH CANE INDUSTRIES PRIVATE LIMITED
MACHINERY
Small and marginal sugarcane farmers are also facing difficulties in harvesting sugarcane due to high labor costs, labor unavailability, and health issues of the laborers, such as cuts, infections, and diseases, due to exposure to sharp sugarcane leaves and adverse conditions of the field. Manual harvesting leads to a decrease in profit margins and a delay in the supply of sugarcane to sugar mills. The existing sugarcane harvesters available in the market are more expensive than ?30 lakhs and are thus not affordable for small-scale sugarcane farmers. The existing harvesters are also not suitable for small land pieces and are dependent on contractors due to specific row spacing and planting requirements set by the machine owners, which makes farmers change their traditional practices.
Basic Information
BHAARATH CANE INDUSTRIES PRIVATE LIMITED
MACHINERY
Small and marginal sugarcane farmers are also facing difficulties in harvesting sugarcane due to high labor costs, labor unavailability, and health issues of the laborers, such as cuts, infections, and diseases, due to exposure to sharp sugarcane leaves and adverse conditions of the field. Manual harvesting leads to a decrease in profit margins and a delay in the supply of sugarcane to sugar mills. The existing sugarcane harvesters available in the market are more expensive than ?30 lakhs and are thus not affordable for small-scale sugarcane farmers. The existing harvesters are also not suitable for small land pieces and are dependent on contractors due to specific row spacing and planting requirements set by the machine owners, which makes farmers change their traditional practices.
IEPS00211
MANUFACTURING
Technical mentorship and engineering guidance Access to workshop facilities and field testing support Market validation and pilot deployment with farmers Industry connections and supply chain support
Phase 1: Concept Evaluation & Feasibility (0–1 Month) Phase 2: Prototype Design & Development (2–4 Months) Phase 3: Field Testing & Optimization (5–6 Months) Phase 4: Final Machine Delivery & Environmental Validation (7–8 Months)
All collaborations under this open innovation initiative shall be subject to the Intellectual Property (IP) policy of Bhaarath Cane Industries Private Limited. Any pre-existing intellectual property, including concepts, designs, patents, technical drawings, software, or proprietary knowledge, shall remain the sole property of the original owner. Intellectual property developed during the course of collaboration shall be governed by a mutually agreed written agreement, with commercialization rights, licensing terms, revenue sharing, or ownership structure clearly defined prior to market deployment. Where applicable, patent filing and protection responsibilities will be mutually decided, and proper inventorship credit will be provided as per applicable laws. All shared information shall be treated as confidential, and a Non-Disclosure Agreement (NDA) may be executed before detailed technical discussions.


Basic Information
grcts foood manufacturer private limited
Food Processing
India is currently facing a complex and deeply rooted nutritional crisis that affects multiple age groups, income categories, and geographic regions. Despite significant economic growth and advancements in food production, the country continues to struggle with iron deficiency anemia, protein-energy malnutrition, micronutrient deficiencies, and rising lifestyle diseases. Iron deficiency remains one of the most prevalent public health problems in India, especially among women and children. A large percentage of adolescent girls and pregnant women suffer from anemia, impacting cognitive development, immunity, and productivity. Simultaneously, protein intake among low- and middle-income households is often inadequate or imbalanced, relying heavily on carbohydrate-dense staples with minimal amino acid diversity. Urban populations, on the other hand, face a different but equally concerning problem: overconsumption of ultra-processed foods, high sugar intake, and nutritionally poor convenience products. This has led to an alarming increase in diabetes, obesity, hypertension, and cardiovascular disorders. India therefore faces a dual burden: Undernutrition in rural and vulnerable communities Overnutrition with poor-quality diets in urban populations The absence of affordable, balanced, plant-based protein solutions that are versatile, culturally acceptable, and sustainable further aggravates this crisis.
Basic Information
grcts foood manufacturer private limited
Food Processing
India is currently facing a complex and deeply rooted nutritional crisis that affects multiple age groups, income categories, and geographic regions. Despite significant economic growth and advancements in food production, the country continues to struggle with iron deficiency anemia, protein-energy malnutrition, micronutrient deficiencies, and rising lifestyle diseases. Iron deficiency remains one of the most prevalent public health problems in India, especially among women and children. A large percentage of adolescent girls and pregnant women suffer from anemia, impacting cognitive development, immunity, and productivity. Simultaneously, protein intake among low- and middle-income households is often inadequate or imbalanced, relying heavily on carbohydrate-dense staples with minimal amino acid diversity. Urban populations, on the other hand, face a different but equally concerning problem: overconsumption of ultra-processed foods, high sugar intake, and nutritionally poor convenience products. This has led to an alarming increase in diabetes, obesity, hypertension, and cardiovascular disorders. India therefore faces a dual burden: Undernutrition in rural and vulnerable communities Overnutrition with poor-quality diets in urban populations The absence of affordable, balanced, plant-based protein solutions that are versatile, culturally acceptable, and sustainable further aggravates this crisis.
IEPS00199
GRCTS Food Manufacturer Private Limited
1000000
The project will be considered successful upon installation and commissioning of solar drying and semi-automatic production units, achieving planned production capacity and =80% nutrient retention. Completion of FSSAI compliance, NABL testing, and 6–8 months shelf-life validation is mandatory. Commercial launch of at least three SKUs with eco-friendly packaging must be achieved. A minimum sale of 10,000 units and revenue target of ?50 Lakhs within 12 months will indicate market validation. Break-even by Month 14, positive cash flow, 20% net margin, creation of 20+ jobs, farmer linkage expansion, and measurable environmental sustainability benchmarks will confirm project completion.
Successful project implementation is subject to securing and maintaining intellectual property protection for the proprietary solar-drying and nutrient-preservation process. A provisional patent filing is under preparation to safeguard the technology and prevent unauthorized replication. The registered trademark GreensCart™ ensures exclusive brand rights and market identity protection. Product formulations, blend ratios, process parameters, and SOPs are maintained as confidential trade secrets with restricted access. Packaging designs and branding materials are protected under copyright. The organization confirms freedom to operate without infringing third-party rights and commits to full compliance with Indian intellectual property laws before large-scale commercialization and expansion.


Basic Information
NIRT Renewable Energy Private Limited
Renewable Energy / Solar Power / Electrical Infrastructure
Large-scale solar parks, industrial rooftop installations, agricultural solar pumps, and residential rooftop systems are expanding rapidly across the country. Public utility assets such as Solar PV panels, transformers, distribution lines, line conductors, public toilets, and other community infrastructure require an effective and structured maintenance system to ensure reliability and continuous service. Proper maintenance of solar power plant equipment is essential to achieve maximum power generation efficiency, operational reliability, and the safety of both electrical infrastructure and public utility assets. At present, the industry primarily follows scheduled or time-based preventive maintenance and breakdown-based maintenance practices. Although routine inspections are conducted periodically, these conventional approaches do not effectively detect early-stage faults, hidden defects, or gradual performance degradation. As a result, unexpected equipment failures and unplanned shutdowns frequently occur, leading to the non-availability of critical public utilities and energy systems. Such failures result in service interruptions, reduced energy yield, increased operational and maintenance (O&M) costs, and shortened equipment lifespan. Therefore, there is a clear and urgent need for an advanced, intelligent maintenance system that enables condition-based monitoring and predictive maintenance to ensure reliability, efficiency, and sustainability of both solar PV systems and other public utility assets.
Basic Information
NIRT Renewable Energy Private Limited
Renewable Energy / Solar Power / Electrical Infrastructure
Large-scale solar parks, industrial rooftop installations, agricultural solar pumps, and residential rooftop systems are expanding rapidly across the country. Public utility assets such as Solar PV panels, transformers, distribution lines, line conductors, public toilets, and other community infrastructure require an effective and structured maintenance system to ensure reliability and continuous service. Proper maintenance of solar power plant equipment is essential to achieve maximum power generation efficiency, operational reliability, and the safety of both electrical infrastructure and public utility assets. At present, the industry primarily follows scheduled or time-based preventive maintenance and breakdown-based maintenance practices. Although routine inspections are conducted periodically, these conventional approaches do not effectively detect early-stage faults, hidden defects, or gradual performance degradation. As a result, unexpected equipment failures and unplanned shutdowns frequently occur, leading to the non-availability of critical public utilities and energy systems. Such failures result in service interruptions, reduced energy yield, increased operational and maintenance (O&M) costs, and shortened equipment lifespan. Therefore, there is a clear and urgent need for an advanced, intelligent maintenance system that enables condition-based monitoring and predictive maintenance to ensure reliability, efficiency, and sustainability of both solar PV systems and other public utility assets.
IEPS00193
The organization operates in the renewable energy sector, primarily focusing on the installation, operation, and maintenance of Solar Photovoltaic (PV) power plants across utility-scale, rooftop, and industrial segments. The company manages grid-connected solar installations and associated electrical infrastructure including inverters, transformers, switchgear systems, and protection equipment with an impressive project portfolio exceeding 35 MW in solar projects.
• Access to operational Solar PV plant data (historical and real-time). • Access to plant site for field testing and pilot implementation. • Technical domain expertise in solar operations and maintenance. • Support for installation of sensors and monitoring devices. • Engineering personnel support during system validation.
• Development of a dynamic predictive maintenance model with >90% fault prediction accuracy. • Real-time monitoring dashboard for plant/Utility health assessment. • Reduction in unexpected downtime by at least 25%. • Improvement in energy yield by 3–5% through early fault detection. • Successful pilot implementation in at least one Solar PV plant. • Scalability demonstration for extension to other public utility systems.
Joint IP ownership between the Academic Institution and Industry Partner. 25% by the institute (iStart KIOT, Sec. 8 company) 25% by Faculty Team 50% by the industry


Basic Information
Unicon engineers
Waste Management / Circular Economy / Green Manufacturing / Industry 4.0
Conventional Electrostatic Precipitator (ESP) systems used in Indian industries, largely based on imported high-voltage AC or DC supplies, suffer from inherent limitations such as charge reversal, re-entrainment, high power losses, back corona effects, and poor efficiency in capturing fine particulate matter (<2.5 µm). Many existing installations are outdated, energy-intensive, and contribute to higher emissions due to suboptimal performance. While pulse power–based ESP technology can enhance corona stability and particle ionization through controlled high-voltage pulses, current commercial solutions are expensive, complex (often three-phase based), difficult to maintain, and not optimized for Indian industrial flue gas conditions. There is a critical need to upgrade and retrofit existing ESP systems with a cost-effective, reliable, single-phase converter–based pulse energization system featuring intelligent pulse control (adjustable amplitude, frequency, duty cycle, and rise time). Such a solution would improve fine particle collection efficiency, reduce pollution and energy losses, and minimize sparking and back corona effects. Additionally, the development of this indigenous technology presents strong export potential and opportunities for intellectual property (IP) generation, enabling scalable and effective implementation across diverse industrial sectors.
Basic Information
Unicon engineers
Waste Management / Circular Economy / Green Manufacturing / Industry 4.0
Conventional Electrostatic Precipitator (ESP) systems used in Indian industries, largely based on imported high-voltage AC or DC supplies, suffer from inherent limitations such as charge reversal, re-entrainment, high power losses, back corona effects, and poor efficiency in capturing fine particulate matter (<2.5 µm). Many existing installations are outdated, energy-intensive, and contribute to higher emissions due to suboptimal performance. While pulse power–based ESP technology can enhance corona stability and particle ionization through controlled high-voltage pulses, current commercial solutions are expensive, complex (often three-phase based), difficult to maintain, and not optimized for Indian industrial flue gas conditions. There is a critical need to upgrade and retrofit existing ESP systems with a cost-effective, reliable, single-phase converter–based pulse energization system featuring intelligent pulse control (adjustable amplitude, frequency, duty cycle, and rise time). Such a solution would improve fine particle collection efficiency, reduce pollution and energy losses, and minimize sparking and back corona effects. Additionally, the development of this indigenous technology presents strong export potential and opportunities for intellectual property (IP) generation, enabling scalable and effective implementation across diverse industrial sectors.
IEPS00190
Air pollution control equipment manufacturing
Unicon Engineers, Coimbatore, will provide domain expertise, critical historical technical data, and extensive experience in product development. The organization will facilitate factory visits and installation support, and actively contribute to co-development activities, including mechanical design validation and fabrication support.
The project will be considered successful upon achieving the following measurable outcomes: 1. Completion of Intellectual Property (IP) registration, including comprehensive specification drafting and filing. 2. Development and validation of five fully functional prototypes of the pulse-energized ESP system. 3. Demonstration of significant reduction in back corona effects and improvement in fine particle (<2.5 µm) collection efficiency from the existing baseline of approximately 60% to at least 90% under defined test conditions.
• As the domain expertise, core problem statement, and project funding are provided by Unicon Engineers, Coimbatore, the ownership of all resulting Intellectual Property (IP) shall remain with the company. Any historical technical data, operational insights, and proprietary information shared for product development are the exclusive property of Unicon Engineers. • Accordingly, a formal Non-Disclosure Agreement (NDA) must be executed between Unicon Engineers and the participating academic institution(s) prior to the commencement of the project to ensure confidentiality, data protection, and clear IP ownership terms.


Basic Information
QUEXI TECHNOLOGIES PRIVATE LIMITED
Cybersecurity
AI-Driven Phishing Attacks Detection in Indian Enterprises
Basic Information
QUEXI TECHNOLOGIES PRIVATE LIMITED
Cybersecurity
AI-Driven Phishing Attacks Detection in Indian Enterprises
IEPS00188
Cybersecurity Solutions & IT Services
Technical Knowledge Sharing, Lab Facilities
The success of the proposed AI-Driven Phishing Detection Framework will be evaluated through structured quarterly milestones over a 12-month development and validation cycle. Months 1–3: Requirement Analysis and Dataset Preparation During the first quarter, success will be measured by the completion of a comprehensive requirement analysis focused on phishing trends in Indian enterprises, particularly AI-generated and multilingual phishing attacks. A curated dataset of legitimate and phishing emails (English, Tamil, and Tamil-English code-mixed) will be collected and labeled. Data preprocessing tasks including cleaning, tokenization, normalization, and feature extraction will be completed. A documented system architecture design covering behavioral analysis, multilingual NLP processing, and intent detection modules will be finalized. Months 4–6: Model Development and Initial Training In the second quarter, the success criterion will be the development and training of core detection models. A multilingual NLP engine using fine-tuned transformer-based models (e.g., BERT/IndicBERT variants) will be implemented. The behavioral email pattern analysis module will establish baseline communication profiles for users. The intent detection classifier will be trained to identify malicious objectives such as credential harvesting, invoice fraud, and urgency-based manipulation. By the end of Month 6, the system should achieve at least 80% accuracy in controlled validation datasets. Months 7–9: Integration and Performance Optimization During this phase, all modules will be integrated into a unified AI-driven phishing detection framework. The system will be connected to an email parsing interface (IMAP/SMTP integration) and a web-based dashboard for alert visualization. Performance evaluation will be conducted using metrics such as precision, recall, F1-score, and false positive rate. Success will be defined by achieving a minimum target of 90% precision with reduced false positives compared to traditional rule-based filters. Model tuning and hyperparameter optimization will be completed to improve robustness against AI-generated phishing emails. Months 10–12: Prototype Deployment and Validation In the final quarter, the prototype will be deployed in a simulated enterprise or pilot environment. Real-time detection capability, multilingual processing efficiency, and behavioral anomaly accuracy will be validated. System scalability, processing latency, and resource consumption will be evaluated. Comprehensive documentation, deployment guidelines, and performance reports will be delivered. The project will be considered successfully completed if the framework demonstrates practical feasibility, TRL 6–7 readiness, and improved phishing detection performance over conventional systems.
No Idea


Basic Information
ArcGX TechLabs Private Limited
SPATIAL ANALYSIS
Coastal Valanrability Index
Basic Information
ArcGX TechLabs Private Limited
SPATIAL ANALYSIS
Coastal Valanrability Index
IEPS00184
GEO-SPATIAL INTELLIGENCE
Geo spatial education seminor
RIVER ATLAS (NIT)
GIS and REMOTE SENSING


Basic Information
NAZIA ENTERPRISES PRIVATE LIMITED
Healthcare & Life Sciences – Medical Devices
Respiratory diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and post-COVID respiratory complications require continuous monitoring to prevent severe exacerbations and long-term damage. However, existing diagnostic tools like spirometry, imaging, and clinical pulmonary tests are primarily clinic-based, episodic, invasive, and dependent on patient cooperation and trained personnel. This results in delayed diagnosis, lack of continuous health data, and limited access for patients in rural or underserved regions. There is a critical need for a portable, non-invasive, real-time lung health monitoring system that can continuously track respiratory biomarkers and provide early warnings, thereby enabling timely intervention and reducing dependence on hospital visits.
Basic Information
NAZIA ENTERPRISES PRIVATE LIMITED
Healthcare & Life Sciences – Medical Devices
Respiratory diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and post-COVID respiratory complications require continuous monitoring to prevent severe exacerbations and long-term damage. However, existing diagnostic tools like spirometry, imaging, and clinical pulmonary tests are primarily clinic-based, episodic, invasive, and dependent on patient cooperation and trained personnel. This results in delayed diagnosis, lack of continuous health data, and limited access for patients in rural or underserved regions. There is a critical need for a portable, non-invasive, real-time lung health monitoring system that can continuously track respiratory biomarkers and provide early warnings, thereby enabling timely intervention and reducing dependence on hospital visits.
IEPS00176
The company focuses on healthcare innovation, particularly in wearable technologies for lung and respiratory health. It is committed to delivering accessible, affordable and scalable medical solutions for real-world healthcare needs.
• Access to laboratory facilities, embedded systems infrastructure, and testing equipment • Technical mentorship from faculty experts in sensors, signal processing, and biomedical systems • Support for prototype validation, documentation, and regulatory readiness • Access to student researchers and interdisciplinary collaboration • Assistance in pilot studies, data analysis, and academic–industry linkage
The project will be considered successful upon achieving the following outcomes: • Development of a fully functional wearable lung health monitoring prototype • Accurate acquisition of respiratory biomarkers (NO, SpO2, respiratory motion) • Minimum 90% accuracy in anomaly detection compared with standard diagnostic references • Real-time data transmission and alert generation with latency below 1 second • Successful field validation with real patient data and clinical correlation • Achievement of Technology Readiness Level (TRL) 6 or above • Positive feedback with over 80% user satisfaction during field trials
The problem statement is open for academic and collaborative research. Any intellectual property generated through the solution development shall be governed by mutually agreed terms between industry and academic partners, ensuring fair ownership and commercialization opportunities.


Basic Information
Tectzo Solutions Private Limited
Waste Management / Circular Economy / Green Manufacturing / Industry 4.0
The printing industry generates significant quantities of post-production offset paper waste, including misprints, trim waste, and rejected coated sheets. Currently, this waste is either sold at low scrap value or sent for bulk recycling, resulting in limited value addition and no localized circular utilization. Although printing paper primarily consists of high-quality cellulose fibers, its reuse is restricted due to ink contamination, fillers (calcium carbonate, clay), and coating materials. Existing recycling systems are centralized, capital intensive, and not suitable for decentralized, small-scale, value-added product transformation. Simultaneously, the horticulture and nursery sector faces increasing costs and supply constraints of coco pith and other moisture-retention substrates. There is a growing need for alternative, low-cost, biodegradable, and locally producible water-retaining soil amendments. The industry seeks to develop: A decentralized, table-top scale cellulose fiber extraction system An enzymatic de-inking process suitable for small-scale applications A moisture-retentive, biodegradable horticultural substrate derived from offset printing waste An IoT-enabled monitoring and validation system to study moisture retention, degradation behavior, and agronomic performance This project aims to convert printing waste into a validated, market-ready agricultural input through scientific research, system design, and pilot-scale demonstration.
Basic Information
Tectzo Solutions Private Limited
Waste Management / Circular Economy / Green Manufacturing / Industry 4.0
The printing industry generates significant quantities of post-production offset paper waste, including misprints, trim waste, and rejected coated sheets. Currently, this waste is either sold at low scrap value or sent for bulk recycling, resulting in limited value addition and no localized circular utilization. Although printing paper primarily consists of high-quality cellulose fibers, its reuse is restricted due to ink contamination, fillers (calcium carbonate, clay), and coating materials. Existing recycling systems are centralized, capital intensive, and not suitable for decentralized, small-scale, value-added product transformation. Simultaneously, the horticulture and nursery sector faces increasing costs and supply constraints of coco pith and other moisture-retention substrates. There is a growing need for alternative, low-cost, biodegradable, and locally producible water-retaining soil amendments. The industry seeks to develop: A decentralized, table-top scale cellulose fiber extraction system An enzymatic de-inking process suitable for small-scale applications A moisture-retentive, biodegradable horticultural substrate derived from offset printing waste An IoT-enabled monitoring and validation system to study moisture retention, degradation behavior, and agronomic performance This project aims to convert printing waste into a validated, market-ready agricultural input through scientific research, system design, and pilot-scale demonstration.
IEPS00166
Sustainable printing solutions, waste paper management, circular economy product development, and green substrate innovation for horticulture applications.
? Technical expertise in enzymatic de-inking and system integration ? Access to pilot printing units ? Engineering design and prototype fabrication support ? IoT system development and dashboard integration ? Field validation coordination with nurseries and farmers ? Technical manpower for installation and monitoring
The project shall be considered successful upon achieving: Development of a functional table-top cellulose extraction prototype (capacity: 5–10 kg/batch) Achieving =80% ink reduction through enzymatic de-inking Moisture retention capacity =70% of standard coco pith benchmark Heavy metal levels within permissible agricultural safety limits Demonstrated plant growth compatibility in nursery trials IoT-enabled dashboard for real-time moisture and degradation monitoring Cost of production below ?8/kg at pilot scale Technology readiness level (TRL) = 6
Tectzo Solutions Private Limited will retain IP ownership. Patent filing for: Enzymatic de-inking adaptation for decentralized systems Compact fiber extraction and drying mechanism Smart IoT-enabled substrate monitoring system Commercialization rights are structured through licensing or revenue-sharing agreements. A confidentiality agreement is to be executed before detailed technical disclosure.


Basic Information
NTP Crop Smart Products Private Limited
Agri-Tech / Precision Agriculture / Smart Farming
The mango orchard near Natham is highly vulnerable to pest infestations and fungal diseases due to climatic fluctuations, humidity variations, and seasonal environmental stress. Major recurring threats include mango hoppers during flowering, fruit flies during fruit development, and fungal infections such as powdery mildew and anthracnose during humid conditions. These problems often develop rapidly within a short period and are difficult to detect during early stages through manual observation. Currently, crop monitoring is conducted manually once every 10–14 days. Sudden pest outbreaks or disease onset occurring between inspections often go unnoticed until visible symptoms appear. By the time signs such as leaf discoloration, fruit spots, premature fruit drop, or pest clusters become evident, the infestation has already spread across multiple trees. In recent seasons, expected yield per tree of approximately 45–50 kg has dropped to around 25–30 kg due to pest and disease impact. This represents an average production loss of nearly 40–45% per season. Across the orchard, this translates to a reduction of nearly 8–10 tonnes of mango yield annually compared to expected production levels. At an average market price of ?60–?80 per kg, this loss corresponds to an estimated financial impact of approximately ?5–8 lakhs per season. Additional expenses on repeated pesticide spraying, labor, and disease control measures further increase operational costs by ?60,000–?90,000 annually. Manual monitoring methods are insufficient for detecting early pest or disease symptoms. Delayed detection results in reactive pesticide application rather than preventive intervention, leading to increased chemical usage, higher costs, and inconsistent crop quality. Environmental conditions such as sudden humidity spikes, temperature changes, and leaf wetness accelerate disease spread, making early detection critical. Although advanced smart agriculture monitoring systems exist, most require high initial investment, technical expertise, and continuous connectivity, making them impractical for small and medium-scale farmers. High installation costs and maintenance requirements discourage adoption, especially when farming income is seasonal and uncertain. Therefore, there is a critical need for an affordable, scalable, and real-time crop monitoring system capable of continuously tracking plant health, pest activity, and environmental parameters, while generating early warning alerts. Such a system is essential to reduce yield loss, minimize pesticide usage, stabilize production, and improve farm profitability under field conditions in the Dindigul mango cultivation region.
Basic Information
NTP Crop Smart Products Private Limited
Agri-Tech / Precision Agriculture / Smart Farming
The mango orchard near Natham is highly vulnerable to pest infestations and fungal diseases due to climatic fluctuations, humidity variations, and seasonal environmental stress. Major recurring threats include mango hoppers during flowering, fruit flies during fruit development, and fungal infections such as powdery mildew and anthracnose during humid conditions. These problems often develop rapidly within a short period and are difficult to detect during early stages through manual observation. Currently, crop monitoring is conducted manually once every 10–14 days. Sudden pest outbreaks or disease onset occurring between inspections often go unnoticed until visible symptoms appear. By the time signs such as leaf discoloration, fruit spots, premature fruit drop, or pest clusters become evident, the infestation has already spread across multiple trees. In recent seasons, expected yield per tree of approximately 45–50 kg has dropped to around 25–30 kg due to pest and disease impact. This represents an average production loss of nearly 40–45% per season. Across the orchard, this translates to a reduction of nearly 8–10 tonnes of mango yield annually compared to expected production levels. At an average market price of ?60–?80 per kg, this loss corresponds to an estimated financial impact of approximately ?5–8 lakhs per season. Additional expenses on repeated pesticide spraying, labor, and disease control measures further increase operational costs by ?60,000–?90,000 annually. Manual monitoring methods are insufficient for detecting early pest or disease symptoms. Delayed detection results in reactive pesticide application rather than preventive intervention, leading to increased chemical usage, higher costs, and inconsistent crop quality. Environmental conditions such as sudden humidity spikes, temperature changes, and leaf wetness accelerate disease spread, making early detection critical. Although advanced smart agriculture monitoring systems exist, most require high initial investment, technical expertise, and continuous connectivity, making them impractical for small and medium-scale farmers. High installation costs and maintenance requirements discourage adoption, especially when farming income is seasonal and uncertain. Therefore, there is a critical need for an affordable, scalable, and real-time crop monitoring system capable of continuously tracking plant health, pest activity, and environmental parameters, while generating early warning alerts. Such a system is essential to reduce yield loss, minimize pesticide usage, stabilize production, and improve farm profitability under field conditions in the Dindigul mango cultivation region.
IEPS00164
1.Our company has a farm is a commercial mango cultivation orchard located near Natham in Dindigul District, Tamil Nadu, producing seasonal mango varieties for regional wholesale markets and fruit traders. The orchard maintains approximately 200–300 mango trees and supplies fresh produce during annual harvest seasons. Under normal conditions, average production is expected to range between 40–50 kg per tree, resulting in an estimated total yield of 8–12 tonnes per season depending on climatic conditions and flowering success.
The Industry partner will provide: ?Access to mango orchards for pilot testing ?Historical yield and pest incidence data ?Support for device installation and testing ?Field validation assistance ?Feedback on system usability and performance
4.Upon successful implementation, the Industry expects: ?Continuous monitoring of crop health and environmental parameters with =95% system uptime ?Early detection of pest and disease onset with =90% accuracy ?Reduction in yield loss by at least 30% compared to previous seasons ?Reduction in pesticide usage by 20–25% through targeted spraying ?Improvement in fruit quality and marketable yield ?Ease of system operation with minimal training ?Generation of field datasets for future scaling and optimization
5.The industry partner agrees that: ?All technologies and analytical models developed will remain joint intellectual property of the implementing institution and collaborators. ?Farm data shared during the project will remain confidential. ?Commercialization and licensing terms will be mutually agreed upon. ?Unauthorized reproduction or distribution of developed technology will not be permitted.


Basic Information
INNOVARA INNOVATION PRIVATE LIMITED
Agri-Tech / Smart Farming / Precision Agriculture
Innovera Innovation Private Limited, which is actively engaged in both agricultural technology development and direct cotton cultivation activities in Southern Tamil Nadu districts such as Madurai, Virudhunagar, Ramanathapuram, Sivaganga, Theni, and Dindigul, has consistently experienced significant productivity challenges due to delayed identification of leaf diseases, pest infestations, and climate-induced crop stress conditions. Most farmers manage small to medium land holdings and depend primarily on manual field inspection and personal experience to assess crop health, with monitoring typically conducted once in 7–10 days. Early-stage symptoms of major cotton diseases and pest attacks often appear as minor discoloration, texture variation, or small lesions on leaves, which are difficult to identify without technical support. Within 5–7 days, these unnoticed infections spread rapidly across 40–50% of plants, particularly under high temperature (34–38°C) and high humidity (70–85%) conditions prevalent in the region, resulting in severe leaf damage, boll shedding, and deterioration in fiber quality. In practical field conditions, this leads to yield reductions of approximately 30–40%, while pesticide application increases by nearly 20–25% as farmers attempt reactive control measures without accurate diagnosis. Farmers largely rely on experience-based judgment rather than scientific assessment, leading to delayed intervention, increased cultivation costs, and soil degradation. Although digital agricultural tools are available, most are costly, technically complex, and not customized for regional cotton varieties or rural user capabilities. Consequently, crop management remains largely reactive, with corrective actions taken only after visible crop damage has occurred. Based on direct farming experience and continuous interaction with cultivators, Innovera has identified the urgent need for a simple, affordable, and mobile-based intelligent application that enables farmers to capture leaf images, receive instant disease diagnosis, obtain timely advisory support, and make informed crop management decisions, thereby improving productivity, reducing avoidable losses, and strengthening income stability.
Basic Information
INNOVARA INNOVATION PRIVATE LIMITED
Agri-Tech / Smart Farming / Precision Agriculture
Innovera Innovation Private Limited, which is actively engaged in both agricultural technology development and direct cotton cultivation activities in Southern Tamil Nadu districts such as Madurai, Virudhunagar, Ramanathapuram, Sivaganga, Theni, and Dindigul, has consistently experienced significant productivity challenges due to delayed identification of leaf diseases, pest infestations, and climate-induced crop stress conditions. Most farmers manage small to medium land holdings and depend primarily on manual field inspection and personal experience to assess crop health, with monitoring typically conducted once in 7–10 days. Early-stage symptoms of major cotton diseases and pest attacks often appear as minor discoloration, texture variation, or small lesions on leaves, which are difficult to identify without technical support. Within 5–7 days, these unnoticed infections spread rapidly across 40–50% of plants, particularly under high temperature (34–38°C) and high humidity (70–85%) conditions prevalent in the region, resulting in severe leaf damage, boll shedding, and deterioration in fiber quality. In practical field conditions, this leads to yield reductions of approximately 30–40%, while pesticide application increases by nearly 20–25% as farmers attempt reactive control measures without accurate diagnosis. Farmers largely rely on experience-based judgment rather than scientific assessment, leading to delayed intervention, increased cultivation costs, and soil degradation. Although digital agricultural tools are available, most are costly, technically complex, and not customized for regional cotton varieties or rural user capabilities. Consequently, crop management remains largely reactive, with corrective actions taken only after visible crop damage has occurred. Based on direct farming experience and continuous interaction with cultivators, Innovera has identified the urgent need for a simple, affordable, and mobile-based intelligent application that enables farmers to capture leaf images, receive instant disease diagnosis, obtain timely advisory support, and make informed crop management decisions, thereby improving productivity, reducing avoidable losses, and strengthening income stability.
IEPS00159
Innovera Innovation Private Limited operates as an Agri-Tech and smart manufacturing enterprise engaged in the development of affordable technology solutions for agricultural and rural applications, with a primary focus on crop health monitoring and farm management systems. In addition to its technology development activities, the company is actively involved in cotton cultivation in Southern Tamil Nadu through owned and associated farmlands, working closely with small and medium-scale farmers across districts such as Madurai, Virudhunagar, Ramanathapuram, Sivaganga, Theni, and Dindigul. By combining practical farming experience with engineering and product development capabilities, the organization designs field-adapted solutions that address real operational challenges faced by cultivators. Its business model integrates on-field trials, farmer engagement, data-driven crop analysis, and localized solution deployment to improve productivity, reduce input costs, and promote sustainable agricultural practices. The company also supports farmers through technical guidance, digital advisory platforms, and scalable monitoring systems, enabling improved decision-making and stable income generation in cotton farming clusters of Southern India.
Innovera Innovation Private Limited will actively support the successful implementation and validation of the project through the following non-financial contributions: • Providing access to owned and associated cotton farms across Southern Tamil Nadu for pilot deployment and field trials. • Facilitating real-time data collection related to crop health, disease occurrence, and environmental conditions. • Supporting system installation, calibration, and routine field-level maintenance during the project period. • Deploying trained field supervisors and technical staff to coordinate on-site activities and monitoring. • Enabling interaction with farmer groups and cluster members for user training and feedback collection. • Assisting in field validation, performance evaluation, and result documentation. • Sharing practical cultivation insights and seasonal operational knowledge. • Supporting demonstration programs and dissemination of project outcomes. • Providing logistics and infrastructure support for field testing and pilot implementation. • Participating in joint review meetings and technical evaluation processes.
The project shall be considered successfully completed upon achieving the following measurable outcomes: • Successful installation and operation of the monitoring system in a minimum of three cotton cultivation clusters. • Continuous system functionality for at least 90 consecutive days under real field conditions. • Achievement of a minimum disease detection accuracy of 90% validated through expert assessment. • Demonstrated reduction of at least 30% in disease-related yield losses compared to baseline seasons. • Reduction in pesticide usage by a minimum of 20% through early intervention. • Improvement in average crop yield by at least 15–20% in monitored fields. • Positive usability feedback from at least 85% of participating farmers. • Generation of comprehensive datasets supporting scalability and optimization. • Completion of technical validation reports and commercialization readiness documents. • Filing of joint intellectual property, where applicable, and formulation of deployment roadmap.
The collaborating partners agree to the following intellectual property and data governance conditions: • All core technologies, system architectures, algorithms, and analytical frameworks developed under this project shall remain the joint intellectual property of the implementing institution and collaborating partners. • The industry partner shall receive preferential and early access for pilot deployment and initial commercial adoption of the developed solution. • All operational, agronomic, and performance-related data shared during the project shall be treated as strictly confidential and shall not be disclosed to any third party without prior written consent. • Commercialization, licensing, and revenue-sharing terms shall be mutually agreed upon in accordance with applicable legal and regulatory frameworks. • Unauthorized duplication, modification, distribution, or reverse engineering of the developed technology shall not be permitted. • Any publication, presentation, or public disclosure arising from the project shall require prior approval from all stakeholders. • Dispute resolution mechanisms and ownership rights shall be governed by mutually agreed contractual terms.


Basic Information
VELISH ENERGY AND MOBILITY PRIVATE LIMITED
Electric Vehicle (EV) Charging Infrastructure sector.
India’s EV adoption is hindered by high upfront costs, long charging times, limited swapping infrastructure, and inefficient battery asset management. Commercial users face vehicle downtime affecting income, while manufacturers struggle with scalable infrastructure integration. A smart, modular, and digitally integrated EV energy ecosystem is required to enable faster, affordable, and reliable electric mobility.
Basic Information
VELISH ENERGY AND MOBILITY PRIVATE LIMITED
Electric Vehicle (EV) Charging Infrastructure sector.
India’s EV adoption is hindered by high upfront costs, long charging times, limited swapping infrastructure, and inefficient battery asset management. Commercial users face vehicle downtime affecting income, while manufacturers struggle with scalable infrastructure integration. A smart, modular, and digitally integrated EV energy ecosystem is required to enable faster, affordable, and reliable electric mobility.
IEPS00155
Velish Energy & Mobility is an electric mobility startup engaged in the development of electric two-wheelers, smart battery systems, and battery-swapping infrastructure integrated with digital energy management solutions.
Velish Energy & Mobility will contribute non-financial support through technical expertise, access to EV prototypes and battery systems, real-world testing environments, industry data sharing, and commercialization support to ensure practical validation and scalable deployment of research outcomes.
The project will be deemed successful upon development and validation of a functional EV and smart battery system prototype, completion of pilot deployment with measurable performance improvements, achievement of predefined technical benchmarks, and establishment of a clear commercialization roadmap.
All background IP shall remain with the originating party. IP generated during the project will be jointly owned unless developed independently by one party. Commercialization and licensing terms will be mutually agreed, with confidentiality and IP protection ensured through formal agreements.


Basic Information
Whysior International LLP
Biotechnology
Deep borewells in Tamil Nadu fail prematurely from mineral encrustation and biofouling, slashing yields and requiring costly mechanical/acid interventions with high recurrence. Sustainable in-situ biological remediation is urgently needed to restore hydraulic performance and reduce chemical dependency.
Basic Information
Whysior International LLP
Biotechnology
Deep borewells in Tamil Nadu fail prematurely from mineral encrustation and biofouling, slashing yields and requiring costly mechanical/acid interventions with high recurrence. Sustainable in-situ biological remediation is urgently needed to restore hydraulic performance and reduce chemical dependency.
IEPS00139
Nature of Business: Whysior International LLP focuses on developing and marketing eco-friendly products and remediation solutions for sustainable groundwater infrastructure, specializing in bacterial consortia that restore fouled borewells through bioleaching, biofilm disruption, and mineral scale reduction while minimizing chemical use and environmental footprint.
Proprietary 5-strain IP, 50+ field pilot sites, fermentation expertise, farmer network access, strain origin documentation/MTAs, preliminary stability data (viability/shelf-life), board-approved pilot access.
Achieve TRL 9 (deployment-ready product); demonstrate 85% efficacy across 50 sites (flow/TDS improvement); publish a peer-reviewed paper and file a provisional patent on consortium/dosing protocol.
Joint ownership of foreground IP; mutual first right of refusal for commercialization; cross-licensing of background IP (non-exclusive, royalty-free for project scope).


Basic Information
Mitti Lifetek Pharma Dx Pvt. Ltd.
Food safety and quality assurance
PorciTrace™: First Rapid Ultrasensitive Fluorescence-Amplified ELISA Platform for Detecting Porcine meat adulteration in Global Meat Supply Chains
Basic Information
Mitti Lifetek Pharma Dx Pvt. Ltd.
Food safety and quality assurance
PorciTrace™: First Rapid Ultrasensitive Fluorescence-Amplified ELISA Platform for Detecting Porcine meat adulteration in Global Meat Supply Chains
IEPS00135
Biotechnology reagents and Test Kits
Knowhows and scientific network
Successful development, field evaluations and release of PorciTrace™ rapid test kits for food chains
We have filed one patent application for the platform technology with the support of BIG- BIRAC grant. We expect to generate 1-2 new patents from this project.


Basic Information
Thremear Private Limited
Healthcare, Biotechnology, IVD Medical Device
Because of the high expense of testing, the need for intrusive blood draws, the absence of early screening techniques, and the restricted availability of labs in non-urban regions, women have delayed diagnosis of hormonal disorders like PCOS. Infertility and metabolic risks increase, illnesses go untreated, and avoidable long-term health issues arise.
Basic Information
Thremear Private Limited
Healthcare, Biotechnology, IVD Medical Device
Because of the high expense of testing, the need for intrusive blood draws, the absence of early screening techniques, and the restricted availability of labs in non-urban regions, women have delayed diagnosis of hormonal disorders like PCOS. Infertility and metabolic risks increase, illnesses go untreated, and avoidable long-term health issues arise.
IEPS00133
Healthcare diagnostics and medical device development focused on non-invasive in-vitro diagnostic (IVD) solutions for women's hormonal health screening and preventive care.
Through community engagement centered on early hormonal health screening, awareness campaigns, and research-driven innovation, THREMEAR supports women's healthcare. In order to expand the women's health ecosystem beyond financial effect, the organization actively promotes preventive health education, helps young researchers develop their expertise, and works with incubation centers and healthcare partners.
Final product development, successful clinical validation proving the necessary sensitivity and specificity, gaining regulatory approval from CDSCO and ISO 13485, and starting commercial manufacturing and market launch with established distribution partnerships are all necessary for successful completion.
DESIGN Patent Application No.: 363445-001 (Granted), INDIAN Patent: 202141010412 (Hearing Done), UAE Patent: P2024-00605 ((FER received), Australian Patent: 2022341637 (FER Received), Pinkmoon Kit: 6976870 (Applied), Hormoon App: 7017443 (Applied)


Basic Information
AJ Enterprises
Food safety and quality assurance
Foodborne bacterial contamination remains a major challenge across food processing units, restaurants, street food sectors, supply chains, and domestic food handling. Existing bacterial detection methods are largely laboratory-based, time-consuming, invasive, and dependent on skilled personnel and sample preparation. These limitations prevent rapid, on-site assessment of food safety and delay corrective action. As a result, contaminated food often reaches consumers before detection, leading to health risks, regulatory non-compliance, and economic loss. There is a critical need for a rapid, non-invasive, and on-site approach to identify bacterial contamination in food without disrupting the food sample or requiring complex laboratory infrastructure.
Basic Information
AJ Enterprises
Food safety and quality assurance
Foodborne bacterial contamination remains a major challenge across food processing units, restaurants, street food sectors, supply chains, and domestic food handling. Existing bacterial detection methods are largely laboratory-based, time-consuming, invasive, and dependent on skilled personnel and sample preparation. These limitations prevent rapid, on-site assessment of food safety and delay corrective action. As a result, contaminated food often reaches consumers before detection, leading to health risks, regulatory non-compliance, and economic loss. There is a critical need for a rapid, non-invasive, and on-site approach to identify bacterial contamination in food without disrupting the food sample or requiring complex laboratory infrastructure.
IEPS00124
AJ Enterprises operates in the food safety and quality assurance domain, focusing on identifying gaps in food contamination detection, hygiene monitoring, and preventive safety practices across food handling, storage, and distribution environments.
• Identification of real-world food safety challenges and operational gaps • Domain expertise related to food handling, hygiene standards, and safety compliance • Access to practical use cases for food testing environments • Guidance on usability, portability, and deployment constraints • Support for validation and feedback during pilot testing • Technical guidance in sensor integration, hardware design, and system optimization • Assistance in field trials, validation studies, and industry–academia coordination
• Clear demonstration of a rapid and non-invasive method for detecting food bacterial contamination • Reduction in detection time compared to conventional laboratory techniques • Reliable identification of contamination under practical testing conditions • Ease of use in real-world food handling environments • Readiness for further validation, regulatory consideration, and scale-up
The problem statement is open for collaborative research and innovation. Intellectual property generated through the project shall be governed by mutually agreed terms between participating organizations, ensuring protection of innovation while enabling potential commercialization and deployment.


Basic Information
SMJ SMART PRODUCTS PRIVATE LIMITED
Healthtech
Osteoporosis is a major and growing public health challenge with serious clinical and socioeconomic consequences. Globally, more than 200 million people are affected, and osteoporotic fracture incidence is projected to increase by 50% by 2025, resulting in an annual economic burden of approximately USD 25 billion. Epidemiological data indicate that 1 in 3 women and 1 in 5 men above the age of 50 will experience an osteoporosis-related fracture during their lifetime. In India, the burden is substantial, with nearly 61 million people affected, of whom about 80% are women, predominantly postmenopausal. Despite this high prevalence, awareness levels remain critically low at only 10–12%, leading to delayed diagnosis and increased fracture-related complications. Early identification of low bone density is further constrained by inadequate diagnostic infrastructure, with only 0.26 bone density assessment units per million population available against a recommended 10.6 units per million, representing a shortfall of more than 40 times, particularly impacting rural and semi-urban regions. Osteoporosis-related fractures, especially of the hip and spine, result in high morbidity, long-term disability, increased mortality, and a significant financial burden on individuals, families, and the healthcare system, a situation expected to worsen with India’s ageing population.
Basic Information
SMJ SMART PRODUCTS PRIVATE LIMITED
Healthtech
Osteoporosis is a major and growing public health challenge with serious clinical and socioeconomic consequences. Globally, more than 200 million people are affected, and osteoporotic fracture incidence is projected to increase by 50% by 2025, resulting in an annual economic burden of approximately USD 25 billion. Epidemiological data indicate that 1 in 3 women and 1 in 5 men above the age of 50 will experience an osteoporosis-related fracture during their lifetime. In India, the burden is substantial, with nearly 61 million people affected, of whom about 80% are women, predominantly postmenopausal. Despite this high prevalence, awareness levels remain critically low at only 10–12%, leading to delayed diagnosis and increased fracture-related complications. Early identification of low bone density is further constrained by inadequate diagnostic infrastructure, with only 0.26 bone density assessment units per million population available against a recommended 10.6 units per million, representing a shortfall of more than 40 times, particularly impacting rural and semi-urban regions. Osteoporosis-related fractures, especially of the hip and spine, result in high morbidity, long-term disability, increased mortality, and a significant financial burden on individuals, families, and the healthcare system, a situation expected to worsen with India’s ageing population.
IEPS00115
Healthcare Technology / Medical Device Research and Development
The industry partner will provide non-financial support essential for project execution, including access to domain knowledge related to bone health screening practices and industry requirements, facilitation of expert inputs from clinicians and healthcare stakeholders, and guidance on practical challenges faced in osteoporosis screening at community and hospital levels. The organization will support validation activities through coordination with relevant healthcare institutions, provide feedback on usability and deployment considerations, and participate in periodic technical reviews. In addition, the industry partner will assist in regulatory awareness, market requirements, and adoption pathways to ensure that the outcomes of the project are aligned with real-world healthcare needs and scalable for future deployment.
The project will be considered successfully completed when it achieves clear, measurable outcomes that address the identified industry problem. Success will be demonstrated through the establishment of a scientifically validated and reliable framework for bone health assessment that is suitable for population-level screening needs. The project should generate credible analytical and experimental evidence supporting early identification of osteoporosis risk, with performance indicators aligned to clinically accepted benchmarks. Completion will also be marked by successful validation using representative datasets, documentation of repeatability and consistency of results, and generation of technical reports suitable for regulatory, clinical, and industry review. In addition, stakeholder feedback from healthcare professionals and industry participants should confirm the relevance, scalability, and readiness of the outcomes for subsequent pilot deployment and broader adoption.
All intellectual property generated during the course of the project, including methodologies, datasets, analytical frameworks, documentation, and research outcomes, shall be treated as joint intellectual property of the implementing institution and the industry partner, in accordance with TIDCO URP guidelines. Background intellectual property contributed by either party shall remain the exclusive property of the respective owner. Foreground intellectual property arising from the collaborative work shall be jointly owned, with rights and responsibilities related to protection, commercialization, licensing, and revenue sharing to be defined through a mutually agreed joint IP and commercialization agreement. All data and confidential information exchanged during the project shall be used solely for project purposes, and no unauthorized disclosure, transfer, or replication shall be permitted without prior written consent from both parties.


Basic Information
PASS ENGINEERING
Advanced Manufacturing
Design and Development of Autonomous Mobile Robot (AMR) and Unmanned Ground Vehicle (UGV) for Industrial Surveillance and Smart Logistics Applications
Basic Information
PASS ENGINEERING
Advanced Manufacturing
Design and Development of Autonomous Mobile Robot (AMR) and Unmanned Ground Vehicle (UGV) for Industrial Surveillance and Smart Logistics Applications
IEPS00104
Manufacturing and Research and Development
Knowledge and Expertise - Have experience engineering team in the field of robotics. Employee Engaegment, Facilities and Infrastructural support - We have 10000 sq ft of manufacturing shed with basic machinery, Innovation and Research support have a dedicated R & D Person for the particular project.
We are a registered MSME under the Udyam Registration scheme and with a valid GST registration. The project team is fully confident in delivering functional and validated prototypes of both the Indoor AMR and Rugged All-Terrain UGV within the proposed project duration. The project will be considered completed upon: Development of two fully operational robotic prototypes (AMR and UGV). Demonstration of autonomous navigation using LiDAR-SLAM in real industrial environments. Successful material transport and inspection trials in a partner industry setting. Achievement of TRL 6–7 (prototype demonstration in relevant operational environment). Filing of at least one patent and preparation of a commercialization roadmap.
The project includes a defined Intellectual Property strategy targeting patent filing for indigenous navigation architecture and integrated robotic platform design and Development. No additional major infrastructure investment is required to initiate the project. Procurement of sensors and hardware components will be executed immediately upon grant approval to ensure timely implementation. The team consists of experienced faculty members, robotics engineers, embedded system developers, and AI specialists with proven expertise in autonomous systems. Intellectual Property (IP) Commitment The project is expected to generate novel intellectual property in: LiDAR-SLAM optimization for industrial layouts. Terrain-adaptive mobility control algorithms. Modular robotic chassis design. Cost-optimized autonomous navigation framework. At least one patent (provisional or complete) will be filed during the project period. The institution is committed to protecting and commercializing the IP in alignment with the policies of TIDCO


Basic Information
Resilience Business Grids LLP
Research and Development
Conventional hybrid inverters primarily function as power backup devices with fixed energy priority logic and limited intelligence. They do not optimize electricity costs, battery lifespan, or solar utilization dynamically. Users often face: • High EB electricity bills due to inefficient energy routing • Premature battery failures caused by poor charging intelligence • Lack of predictive maintenance leading to downtime • Complex app-based interfaces unsuitable for rural users • Inability to share energy efficiently across community loads There is a strong need for an AI-enabled intelligent hybrid inverter that can dynamically route power between solar, grid, and battery, predict battery health, optimize EB tariff usage, and operate with a simple localized interface without requiring internet connectivity.
Basic Information
Resilience Business Grids LLP
Research and Development
Conventional hybrid inverters primarily function as power backup devices with fixed energy priority logic and limited intelligence. They do not optimize electricity costs, battery lifespan, or solar utilization dynamically. Users often face: • High EB electricity bills due to inefficient energy routing • Premature battery failures caused by poor charging intelligence • Lack of predictive maintenance leading to downtime • Complex app-based interfaces unsuitable for rural users • Inability to share energy efficiently across community loads There is a strong need for an AI-enabled intelligent hybrid inverter that can dynamically route power between solar, grid, and battery, predict battery health, optimize EB tariff usage, and operate with a simple localized interface without requiring internet connectivity.
IEPS00093
Resilience Business Grids LLP is a deep-technology enterprise engaged in the design, development, and deployment of artificial intelligence–driven software systems and intelligent decision platforms for real-world infrastructure and industrial applications.
• Product design inputs and technical mentoring • Access to existing inverter hardware platform for integration • Testing infrastructure and lab validation support • Field trial locations (homes/MSMEs/rural installations) • Engineering manpower for prototype validation • Market feedback and commercialization guidance • Support for certification, manufacturing readiness, and service planning
1. Development of a functional AI Intelligent Hybrid Inverter prototype (2500W class) integrating solar, grid, and battery. 2. Successful implementation of dynamic energy routing and EB tariff optimization algorithm. 3. Embedded battery health prediction system validated through testing cycles. 4. Completion of laboratory validation and minimum 3 real-world pilot installations. 5. Preparation of production-ready design files, firmware, and commercialization roadmap.
• Background IP related to existing inverter hardware remains with the industry partner. • Newly developed AI algorithms, firmware, control logic, and system integration outputs shall be owned by the Industry, unless otherwise agreed. • Publication rights will be allowed after mutual consent ensuring protection of commercialization-sensitive data. • Any patentable outcomes will be filed by the Industry with credits to reserachers.


Basic Information
Zeon Electric Private Limited
Electric Vehicle (EV) Charging Infrastructure sector.
AI-driven CMS with edge monitoring to automatically detect faults, optimize operations, and improve reliability of large-scale OCPP-based EV charging networks.
Basic Information
Zeon Electric Private Limited
Electric Vehicle (EV) Charging Infrastructure sector.
AI-driven CMS with edge monitoring to automatically detect faults, optimize operations, and improve reliability of large-scale OCPP-based EV charging networks.
IEPS00085
Electric Vehicle Charging Infrastructure and Services
Provision of real charger communication data, technical expertise, field testing support, access to development infrastructure, and coordination with OEM and operations teams for validation and deployment.
1.Successful real-time monitoring of OCPP communication through the edge hardware engine 2.Automatic detection and classification of charger faults and anomalies 3.Implementation of AI-driven CMS features such as automated alerts, customer support assistance, and maintenance task assignment 4.Demonstrated reduction in charger downtime during pilot deployment 5.Generation of operational reports and predictive maintenance insights
All intellectual property generated during the project will be jointly owned by the industry partner and the academic institution, as per mutually agreed terms. Commercialization rights, licensing, and usage policies will be defined through a formal collaboration agreement prior to project execution.


Basic Information
WEGOMEDS HEALTH CARE PRIVATE LIMITED
Healthcare
Patients recovering at home from critical illness lack affordable, low-infrastructure monitoring to detect 'silent emergencies' and track recovery milestones without constant caregiver intervention. So, there is a critical need for a low-cost, remote monitoring solution that bridges the gap between hospital-grade surveillance and home recovery for such patients.
Basic Information
WEGOMEDS HEALTH CARE PRIVATE LIMITED
Healthcare
Patients recovering at home from critical illness lack affordable, low-infrastructure monitoring to detect 'silent emergencies' and track recovery milestones without constant caregiver intervention. So, there is a critical need for a low-cost, remote monitoring solution that bridges the gap between hospital-grade surveillance and home recovery for such patients.
IEPS00079
Home Nursing Care for Post operative Patients
Manpower, Infrastructure, Software, HealthCare Data
Success is defined by a measurable reduction in hospital readmissions and 'silent emergency' incidents through accurate, automated detection and timely clinical intervention. Critical milestones include achieving high patient adherence with minimal technical infrastructure and establishing a sustainable ROI via integrated reimbursement pathways.
Wegomeds Healthcare Private Limited maintains sole ownership of all project-derived intellectual property, with provisions for negotiated co-ownership or profit-sharing only if an institute provides critical technology or foundational development. This framework ensures corporate control while allowing for equitable recognition of significant institutional contributions through tiered ownership agreements.


Basic Information
VELMERO TECHNOLOGIES PRIVATE LIMITED
Textile
Design, Development, and Scaling Up of Advanced & Affordable Shuttle-Less Weaving Machine for the Indian Power Loom Sector India’s power loom sector operates over 2.4 million looms, of which approximately 85% continue to rely on outdated shuttle-based weaving technology. This creates a severe technology deficit with cascading consequences: 1. Low Productivity: Shuttle looms operate at only 80–150 picks per minute (PPM), compared to 300–800+ PPM for modern shuttle-less looms — a 3–6x productivity disadvantage against competing nations (China, Turkey, Vietnam). 2. Inferior Fabric Quality: Limited to 4–6 heald frames and widths up to 120 cm, shuttle looms cannot produce the higher-quality, wider, and pattern-diverse fabrics demanded by global brands and export markets. 3. Occupational Safety Hazards: Noise levels exceeding 95–100 dB cause chronic hearing loss. The flying shuttle poses serious physical injury risks to operators. 4. Energy Inefficiency: Shuttle looms consume 20–30% more energy per metre of fabric, increasing costs and environmental impact. The core problem is the lack of an affordable, domestically manufactured shuttle-less weaving machine designed specifically for the Indian power loom sector’s operational requirements and cost constraints. Indian power loom weavers need a machine priced at Rs.3–5 lakh (compared to Rs.15–50 lakh for imports) that delivers higher weaving speeds (250–400 RPM), superior fabric quality, wider fabric widths (up to 190 cm), multi-fibre compatibility, reduced noise levels, and improved energy efficiency — while being serviceable with locally available skills and spare parts. Without such intervention, India’s power loom weavers will continue losing competitiveness, facing declining margins, and remaining confined to low-value fabric segments, jeopardising the Government’s target of USD 100 billion in textile exports by 2030.
Basic Information
VELMERO TECHNOLOGIES PRIVATE LIMITED
Textile
Design, Development, and Scaling Up of Advanced & Affordable Shuttle-Less Weaving Machine for the Indian Power Loom Sector India’s power loom sector operates over 2.4 million looms, of which approximately 85% continue to rely on outdated shuttle-based weaving technology. This creates a severe technology deficit with cascading consequences: 1. Low Productivity: Shuttle looms operate at only 80–150 picks per minute (PPM), compared to 300–800+ PPM for modern shuttle-less looms — a 3–6x productivity disadvantage against competing nations (China, Turkey, Vietnam). 2. Inferior Fabric Quality: Limited to 4–6 heald frames and widths up to 120 cm, shuttle looms cannot produce the higher-quality, wider, and pattern-diverse fabrics demanded by global brands and export markets. 3. Occupational Safety Hazards: Noise levels exceeding 95–100 dB cause chronic hearing loss. The flying shuttle poses serious physical injury risks to operators. 4. Energy Inefficiency: Shuttle looms consume 20–30% more energy per metre of fabric, increasing costs and environmental impact. The core problem is the lack of an affordable, domestically manufactured shuttle-less weaving machine designed specifically for the Indian power loom sector’s operational requirements and cost constraints. Indian power loom weavers need a machine priced at Rs.3–5 lakh (compared to Rs.15–50 lakh for imports) that delivers higher weaving speeds (250–400 RPM), superior fabric quality, wider fabric widths (up to 190 cm), multi-fibre compatibility, reduced noise levels, and improved energy efficiency — while being serviceable with locally available skills and spare parts. Without such intervention, India’s power loom weavers will continue losing competitiveness, facing declining margins, and remaining confined to low-value fabric segments, jeopardising the Government’s target of USD 100 billion in textile exports by 2030.
IEPS00078
Advance Textile Weaving Manufacturer
Product Design, Validation
The problem will be considered successfully resolved when the following criteria are met: 1. A functional shuttle-less weaving machine prototype is developed achieving weaving speeds of 250–400 RPM with fabric width capability of up to 190 cm. 2. The prototype demonstrates successful weaving with multiple fibre types (cotton, polyester, blends) with a fabric defect rate below 2%. 3. Noise levels are reduced to 72–82 dB (from 95–100+ dB in shuttle looms), demonstrating measurable improvement in occupational safety. 4. Energy consumption per metre of fabric is reduced by at least 20% compared to equivalent shuttle loom output. 5. The Bill of Materials (BOM) cost is optimised to below Rs.3.5 lakh, validating the target retail price of Rs.3–5 lakh per machine. 6. The prototype is field-validated at a minimum of 2 real-world power loom weaving units in the Tirupur-Coimbatore textile cluster. 7. At least 1 patent application is filed for novel aspects of the machine design. 8. A viable commercialisation roadmap and manufacturing feasibility study is completed.
Pre-Existing IP: No pre-existing patents, copyrights, or registered intellectual property are held by Velmero Technologies Private Limited that directly cover the proposed shuttle-less weaving machine design. The project starts from a clean IP position. IP Landscape: Shuttle-less weaving technology (rapier, air-jet, water-jet) has a mature global patent landscape, with key patents held by European and Japanese OEMs (Picanol, Dornier, Toyota Industries, Tsudakoma). However, most foundational patents have expired, and the specific challenge of cost-engineering a shuttle-less machine for the Indian MSME segment remains largely unaddressed in existing IP. IP Strategy: • Comprehensive patent search and freedom-to-operate (FTO) analysis will be conducted early in the project. • Novel innovations arising from cost-optimised design will be identified and protected through patent filing. • IP ownership for any IP generated under the grant will follow URP Scheme Guidelines — joint ownership between academic and industry partners, with first right of refusal for commercial exploitation by the industry partner. Confidentiality: Formal NDA/confidentiality provisions will be included in the MoU with the academic partner.


Basic Information
MECHINEX AUTOMATION PRIVATE LIMITED
Advanced Manufacturing
MSMEs face high dependency on skilled CNC programmers, sub-optimal cutting parameters, excessive tool wear, and 15–25% higher energy consumption due to non-optimized machining decisions. There is a need for an AI-enabled semi-autonomous VMC platform that reduces programming dependency, improves machining efficiency, and minimizes energy and material waste through adaptive parameter optimization and real-time decision support.
Basic Information
MECHINEX AUTOMATION PRIVATE LIMITED
Advanced Manufacturing
MSMEs face high dependency on skilled CNC programmers, sub-optimal cutting parameters, excessive tool wear, and 15–25% higher energy consumption due to non-optimized machining decisions. There is a need for an AI-enabled semi-autonomous VMC platform that reduces programming dependency, improves machining efficiency, and minimizes energy and material waste through adaptive parameter optimization and real-time decision support.
IEPS00065
Design and manufacture of precision CNC milling machines integrated with AI-driven machining optimization software for sustainable and energy-efficient manufacturing.
*Existing ProMill hardware platform (TRL 6–7) *MillSoft AI optimization engine (TRL 2–3) *In-house R&D team (mechanical, control & AI) *Testing infrastructure and pilot MSME customers *Machine data access for validation *Industry use cases and field deployment support
The project will be considered successful upon integration of MillSoft with ProMill to enable semi-autonomous machining, achieving a validated 5–10% reduction in tool wear, 10% reduction in energy consumption per job, and at least 30% reduction in manual parameter tuning time, while advancing the system to TRL 7 through deployment in a minimum of three pilot MSME environments.
All background intellectual property related to the ProMill mechanical design, control systems, and MillSoft optimization algorithms is owned by Mechinex Pvt Ltd. Any foreground research outputs developed during the project will follow a mutually agreed IP-sharing framework with the academic partner, while core product and commercialization rights remain with Mechinex Pvt Ltd.


Basic Information
V Vayals Technology Private Limited
Urban Water Infrastructure
Groundwater levels in densely populated regions are rapidly declining due to over-extraction and poor natural recharge. Conventional rainwater harvesting systems fail to replenish deep aquifers, especially those located in hard rock formations. Drawdown around borewells further aggravates the problem, leading to voids, land subsidence, and long-term water scarcity.
Basic Information
V Vayals Technology Private Limited
Urban Water Infrastructure
Groundwater levels in densely populated regions are rapidly declining due to over-extraction and poor natural recharge. Conventional rainwater harvesting systems fail to replenish deep aquifers, especially those located in hard rock formations. Drawdown around borewells further aggravates the problem, leading to voids, land subsidence, and long-term water scarcity.
IEPS00050
Manufacturing
900000
Demonstrable recharge of deep aquifers through a borewell-integrated rainwater harvesting channel. Measurable improvement in groundwater levels and reduction in drawdown near pumping wells over time. A scalable, low-maintenance solution suitable for dense urban and water-scarce regions.
IP will be shared between the Institution and Industry - Industry should have first right of commercialisation


Basic Information
Vettri Biomed Technologies Private Limited
Research and Development
Adaptive Bluetooth Mesh Communication System with Voice-Frequency Isolation for Modular Helmet Applications
Basic Information
Vettri Biomed Technologies Private Limited
Research and Development
Adaptive Bluetooth Mesh Communication System with Voice-Frequency Isolation for Modular Helmet Applications
IEPS00042
Technology-driven R&D organization delivering data/engineering solutions; now expanding into safety-tech product R&D
Consumables, Equipment, Field testing infrastruture
1. Development of 2 fully functional "Clamp-and-Go" prototype units. 2. Validated Bluetooth Mesh connectivity exceeding 500m range between riders. 3. Demonstrated Voice Isolation achieving >10dB reduction in wind, engine, horn and nearby vehicle noise. 4. Deployment of a Mobile App for secure group pairing.
No pre-existing Intellectual Property is claimed by the Industry Partner for this specific scope of work. All new IP generated during the tenure of this grant, including the Mesh Algorithm, Voice Isolation Firmware, and Hardware Design, shall be jointly owned by the Academic Institution and the Industry Partner. The Industry Partner retains the First Right of Refusal for the commercial exploitation of the developed technology


Basic Information
Shinkai-Labs Pvt. Ltd.
Development of an affordable (
Basic Information
Shinkai-Labs Pvt. Ltd.
Development of an affordable (
IEPS00041
R&D-driven deep-tech startup specializing in AI-powered biomedical signal processing and healthcare technology. Core expertise: fetal ECG extraction, deep learning for medical diagnostics, embedded systems. Published research at IEEE ICC 2026. Working prototype (FetalPulse Diagnostic V1) achieving 95%+ accuracy already developed.
1. EXISTING WORKING PROTOTYPE: FetalPulse Diagnostic V1 software with 95%+ fetal heart rate detection accuracy (valued at ?20+ Lakhs R&D investment) 2. IEEE ICC 2026 peer-reviewed publication on fetal ECG extraction using Earth Mover Distance and Deep Learning 3. Proprietary algorithms for 4-channel abdominal signal processing and PQRS wave detection 4. Dedicated engineering team: 2 senior engineers for project duration 5. Computing infrastructure for deep learning (GPU servers, cloud resources) 6. Hardware prototyping lab and embedded systems development capability 7. HIPAA-compliant software architecture already implemented 8. Clinical validation methodology and PhysioNet dataset expertise 9. Full project management and industry mentorship to academic partner Total In-Kind Contribution Value: ?25-30 Lakhs
1. Hardware prototype achieving TRL 6 (embedded device integrating existing 95%+ accurate algorithm) 2. Clinical validation with minimum 100 pregnant subjects across 2 Tamil Nadu hospitals 3. Fetal heart rate detection accuracy maintained at >95% on clinical data 4. False alarm rate <5% in real-world testing 5. Device unit manufacturing cost
Shinkai Labs holds proprietary IP including: (1) FetalPulse Diagnostic V1 software and algorithms, (2) Earth Mover Distance based fetal ECG extraction method (IEEE ICC 2026 published), (3) 4-channel abdominal signal processing pipeline, (4) PQRS wave detection algorithms. No third-party IP encumbrances. Proposed arrangement: Joint ownership of NEW project-generated IP between Shinkai Labs and academic partner. Shinkai Labs retains exclusive commercialization rights in India for both existing and joint IP. Academic partner retains rights for academic publications. Technology transfer to Tamil Nadu Government healthcare system at preferential rates.


Basic Information
IAMUSAPVENTURES PRIVATE LIMITED
Food Processing
Existing soft-serve ice cream systems are inherently incapable of enabling real-time, on-demand flavor customization at the point of consumption, as they rely on bulk pre-manufacturing of a limited number of flavors and continuous cold-storage-based dispensing, thereby restricting flexibility, scalability and sustainability.
Basic Information
IAMUSAPVENTURES PRIVATE LIMITED
Food Processing
Existing soft-serve ice cream systems are inherently incapable of enabling real-time, on-demand flavor customization at the point of consumption, as they rely on bulk pre-manufacturing of a limited number of flavors and continuous cold-storage-based dispensing, thereby restricting flexibility, scalability and sustainability.
IEPS00033
Food Processing
900000
The research will be considered successfully completed upon the achievement of the following measurable outcomes: Prototype Demonstration: Development and demonstration of a functional Pilot-scale system capable of producing customized soft-serve ice cream servings on demand using ambient-stored dairy and flavour inputs within a defined preparation time. Performance Benchmarks: Quantitative evaluation of key parameters, including preparation time, energy consumption per serving, texture consistency and repeatability across multiple dispensing cycles. Safety and Hygiene Validation: Documentation of food safety and hygiene controls suitable for repeated automated operation, supported by basic microbiological or process-safety assessments as applicable. Technical Documentation: Submission of a comprehensive technical report detailing system architecture, experimental findings, limitations, and future research pathways.
At the time of submission, no intellectual property has been filed, granted, or claimed by the applicant in relation to the proposed problem statement. The submission is limited to the articulation of the research problem and its context, and does not disclose or depend upon any proprietary technology, confidential know-how, or third-party intellectual property. The problem statement is framed using publicly available knowledge and existing industry practices, and is intended solely to define the scope for potential research and investigation under the scheme.