InnoMatch selects four buyers to pilot solutions from EIC awardees, with up to EUR 60,000 per test

Brussels, September 24th 2025
Summary
  • InnoMatch under the EIC Innovation Procurement Programme selected four buyers to run pilot tests with EIC awardees.
  • Selected buyers are The Deep Group UG, City of Ghent, EH Group Engineering, and Medtronic Iberica with challenges across agriculture, AI for procurement, fuel cells, and medical device data.
  • EIC awardees will be able to apply to solve these challenges and, if selected, receive up to EUR 60,000 and join a three phase Prepare, Deploy, Assess programme.
  • The InnoMatch open call ran from 7 February to 6 June 2025 and attracted dozens of applications from 16 countries.
  • InnoMatch intends to support a total of 38 pilots under the EIC Innovation Procurement Programme, but pilots face technical, regulatory, and procurement hurdles before scaling.

InnoMatch selects four buyers to test innovations from EIC awardees

The InnoMatch initiative, part of the European Innovation Council Innovation Procurement Programme, has announced four buyers chosen from a recent open call to work with EIC awardees on pilot demonstrations or proofs of concept. The open call ran from 7 February to 6 June 2025 and attracted dozens of applications from 16 countries. A panel of three independent experts reviewed submissions and selected The Deep Group UG, the City of Ghent, EH Group Engineering, and Medtronic Iberica to refine their challenge statements and participate in buyer to innovator matchmaking.

What was selected and why it matters

InnoMatch is intended to lower the market access barrier that many deep tech and innovative SMEs face by creating early customer validation through procurement driven pilots. The selected buyers propose challenges that touch on different parts of the EIC portfolio and the European innovation agenda. Selected proposals were judged to have potential for real world impact and cooperation with innovators but pilots still face the usual technical, regulatory, and procurement risks before any wider deployment.

BuyerSectorSelected challengeBuyer typeCountry (where stated)
The Deep Group UGAgriculture, Food and BeveragesReal time nitrate uptake monitoring to provide ground truth for soil carbon modelling and validation of carbon farming practicesPrivate buyer
City of GhentDigital transformation and AIAI tools for writing public procurement specificationsPublic authorityBelgium
EH Group EngineeringEnergy, Environment and SustainabilityLow platinum catalyst coated membranes for cost effective, high performance fuel cellsPrivate companySwitzerland (company information)
Medtronic IbericaHealth and Life SciencesAI powered data extraction from medical devices for enhanced remote patient monitoring integrationPrivate companySpain
Real time nitrate uptake monitoring for soil carbon modelling:The Deep Group UG wants in situ measurements of nitrate uptake that can be used as ground truth for soil carbon models and to validate carbon farming practices. Soil carbon modelling relies on robust inputs about nutrient fluxes and plant uptake to estimate sequestration. Real time nitrate sensing faces technical hurdles including sensor longevity in soil, spatial heterogeneity, the link between nitrate dynamics and carbon fluxes, and calibration against established laboratory methods. Methods that may be considered include ion selective electrodes, optical nitrate sensors, stable isotope techniques, and proximal sensing combined with models. Any deployed solution must also address data integration and farmer usability if it is to influence practice and payment schemes for carbon farming.
AI assistance for writing public procurement specifications:The City of Ghent is seeking AI tools to draft or assist in drafting public procurement specifications. Practical uses of natural language processing can speed drafting, improve consistency, and help public buyers translate policy goals into technical and contractual requirements. Risks and constraints are substantial. Public procurement law requires transparency and non discrimination. AI generated text must be auditable, free of hidden bias, and compatible with legal and administrative standards. The city will need solutions that allow human oversight, version control, explainability and traceability so that specification content can withstand procurement audits and legal scrutiny.
Low platinum catalyst coated membranes for fuel cells:EH Group Engineering is looking for low platinum catalyst coated membranes or CCMs that reduce cost while maintaining performance for fuel cells. CCMs are multilayer components where catalyst, ionomer, and membrane are integrated to form the reactive interface. The technical challenge is to lower platinum group metal loading while preserving activity and durability under realistic operating cycles. Issues include mass transport limitations, water and thermal management, mechanical integrity during cycles, and manufacturing repeatability. Demonstrating reliability requires standardised testing for degradation, start stop cycles, and system integration tests that mimic intended applications.
AI powered extraction of data from medical devices:Medtronic Iberica seeks AI tools to extract structured data from medical devices for improved remote patient monitoring integration. That requires parsing diverse data formats, handling proprietary protocols, ensuring timestamps and meta data integrity, and mapping to interoperability standards such as HL7 and FHIR for integration with clinical systems. Regulatory and privacy constraints are pronounced. Any AI processing must meet medical device regulation and GDPR requirements and provide traceability for clinical decisions. Cybersecurity of device interfaces is also a critical consideration.

How InnoMatch will proceed and the funding on offer

The selected buyers will work with the InnoMatch team to refine and publish clear challenge statements. These refined challenges will appear in a new open call aimed at EIC awardees. Selected EIC awardees will receive up to EUR 60,000 to run a pilot or proof of concept under the InnoMatch programme and be supported through a three phase process.

PhaseCore activitiesExpected outputs and metrics
PrepareCo-develop a Pilot Action Plan with the buyer setting objectives, KPIs, milestones and rolesDetailed plan, success metrics, risk assessment, data handling and compliance checklist
DeployImplement the pilot with regular progress checks, expert guidance and iterative adjustmentsPilot deliverables, data collection, interim reports, stakeholder feedback
AssessEvaluate impact, feasibility for scaling, potential procurement or commercial paths forwardFinal evaluation, scalability analysis, business case or procurement recommendation
Funding envelope and programme scale:InnoMatch, through the EIC Innovation Procurement Programme, plans to support up to 38 pilots. Each selected EIC awardee may receive funding up to EUR 60,000 for their pilot. Funding is intended to reduce the risk of early customer testing but it is not sufficient by itself for full commercial deployment. Buyers and awardees should expect additional costs for scale up, certification, integration and ongoing operations.

What EIC awardees should prepare and potential pitfalls

The InnoMatch route can accelerate market entry by providing an early customer and a funded test bed. That said there are common pitfalls. Pilots often expose integration gaps, regulatory hurdles, and mismatched expectations between buyers and innovators. Intellectual property and data ownership must be clarified up front. If the buyer is a public authority the procurement rules and public accountability will constrain contractual terms and timelines. Medical and energy related pilots face specific regulatory regimes that can delay or limit what can be demonstrated within a short pilot period.

Practical recommendations for applicants:Prepare clear evidence of readiness including technology readiness level, validation data and previous pilots. Be explicit about data flows, privacy protection, and IP ownership. Define measurable KPIs and the minimum viable scope of the pilot. For regulated sectors include a pathway to certification or compliance. Plan for post pilot options whether procurement, commercial contract, licensing or further development.

Governance, transparency and next steps

The selection of these four buyers followed an expert review process. InnoMatch will publish refined challenges and open a call for EIC awardees to apply. Interested innovators are encouraged to follow InnoMatch on LinkedIn for announcements. For general enquiries the InnoMatch contact is info@innomatchproject.eu. The initiative sits within the EIC Business Acceleration Services ecosystem which offers a broader suite of supports to EIC awardees including coaching, investor outreach and procurement matchmaking.

The model aims to convert technical promise into buyer validated solutions but success is not guaranteed. Funding of up to EUR 60,000 lowers the barrier for initial testing. Scaling beyond the pilot will likely require additional investment, clear procurement strategies, and careful attention to regulatory and operational constraints. For innovators, procurement driven pilots remain a useful route to market if they enter with realistic scopes, robust compliance planning and clear agreements on IP and data.