The European Innovation Council (EIC) has announced the results of the 2025 EIC Pathfinder Challenges call, selecting 30 breakthrough research projects for approximately €118 million in EU funding. The results were published on 1 April 2026 and cover four strategic research challenge areas: climate-resilient crops and plant-based biomanufacturing, generative AI for cancer diagnosis and treatment, autonomous robot collectives for construction, and waste-to-value devices for renewable fuels, chemicals and materials.
This is a highly selective EIC Pathfinder result. The 30 funded projects were selected from 647 eligible proposals, which means the approximate selection rate was 4.6%. In practical terms, about 1 in 22 eligible proposals was selected. The average EU contribution is approximately €3.93 million per selected project, close to the upper end of the usual Pathfinder grant range for Challenge calls.
EIC Pathfinder Challenges 2025 Results: Key Figures
| Metric | Result | Interpretation |
|---|---|---|
| Results publication date | 1 April 2026 | The projects come from the 2025 EIC Pathfinder Challenges call. |
| Eligible proposals submitted | 647 | Strong demand for a targeted, challenge-driven Pathfinder call. |
| Projects selected | 30 | A compact portfolio designed around four strategic technology areas. |
| Total EU funding | Approximately €118 million | Large enough to build multiple technology portfolios, not just isolated projects. |
| Average funding per selected project | Approximately €3.93 million | €118 million divided by 30 projects. |
| Approximate selection rate | 4.6% | 30 selected projects out of 647 eligible proposals. |
| Approximate rejection rate | 95.4% | The call remains extremely competitive even though it is narrower than Pathfinder Open. |
| Average project duration | 44.7 months | Most projects run for 48 months, with a few shorter or longer exceptions. |
What the 4.6% Success Rate Means
The headline number is important: 30 projects selected from 647 eligible proposals. This creates a calculated success rate of 4.64%. For applicants, that means the EIC Pathfinder Challenges call is not an easier alternative to a general deep-tech grant. It is a specialised, portfolio-shaped selection mechanism where the proposal must do two things at the same time:
- Fit the exact EIC Challenge logic: The project must address the specific strategic challenge and not simply be a generally excellent research project.
- Offer a credible breakthrough path: The project must combine high-risk research with a plausible route toward technological impact.
- Support portfolio diversity: EIC Programme Managers build portfolios around complementary and competing approaches, so the proposal is assessed not only as a standalone project but also as part of a wider technology direction.
This is a useful distinction for future applicants. In a normal academic grant, excellence can often be argued primarily through scientific merit. In an EIC Pathfinder Challenge, excellence must also be argued through strategic fit, technology trajectory, portfolio relevance and long-term innovation potential.
The Four Funded Pathfinder Challenge Areas
The 30 projects are distributed across four EIC Pathfinder Challenge areas. Two challenges received seven projects each, while the robotics and waste-to-value challenges each received eight projects. If the €118 million total were distributed proportionally by project count, the two seven-project portfolios would each represent about €27.5 million, while the two eight-project portfolios would each represent about €31.5 million. The actual project-level grant amounts can differ, but the proportional estimate helps illustrate the relative weight of each portfolio.
| Challenge | Selected Projects | Share of Portfolio | Indicative Funding Share |
|---|---|---|---|
| Biotech for climate-resilient crops and plant-based biomanufacturing | 7 | 23.3% | Approx. €27.5 million if proportional |
| Generative-AI based agents for cancer diagnosis and treatment | 7 | 23.3% | Approx. €27.5 million if proportional |
| Autonomous robot collectives for construction | 8 | 26.7% | Approx. €31.5 million if proportional |
| Waste-to-value devices for circular production | 8 | 26.7% | Approx. €31.5 million if proportional |
The mix is not random. The selected portfolios map onto four major European policy and technology priorities: resilient food systems, AI-enabled healthcare, construction productivity and circular industrial production. In other words, the EIC Pathfinder Challenges are being used as a portfolio tool for frontier research in sectors where Europe wants technological sovereignty, industrial transformation and long-term market creation.
Country Distribution: Spain Leads the Coordinator Count
Looking at the coordinating organisations of the 30 selected projects, Spain leads with six coordinated projects. Germany follows with five, Italy with four, and the Netherlands with three. Denmark, the United Kingdom and Sweden each coordinate two projects, while Austria, Belgium, Bulgaria, France, Israel and Poland each coordinate one.
| Coordinator Country | Projects Coordinated | Share of 30 Projects | Main Areas Represented |
|---|---|---|---|
| Spain | 6 | 20.0% | Crops, cancer AI, robotics and waste-to-value |
| Germany | 5 | 16.7% | Biotech, cancer AI and robotics |
| Italy | 4 | 13.3% | Crops, cancer AI and robotics |
| Netherlands | 3 | 10.0% | Crops and robotics |
| Denmark | 2 | 6.7% | Crops and cancer AI |
| United Kingdom | 2 | 6.7% | Construction robotics |
| Sweden | 2 | 6.7% | Waste-to-value devices |
| Austria | 1 | 3.3% | Cancer AI |
| Belgium | 1 | 3.3% | Cancer AI |
| Bulgaria | 1 | 3.3% | Climate-resilient crops |
| France | 1 | 3.3% | CO2 conversion |
| Israel | 1 | 3.3% | Plastic biodegradation |
| Poland | 1 | 3.3% | Brine valorisation |
The country distribution suggests that the selected portfolio is geographically broad but still concentrated around a few strong coordinator ecosystems. Spain's leading position is especially notable because it appears in all four challenge areas, including a particularly strong role in the waste-to-value portfolio.
Project Duration Analysis
The selected projects range from 36 months to 60 months. The most common duration is 48 months, which applies to 18 of the 30 projects. This is consistent with the Pathfinder logic: most projects need enough time to move from early-stage proof of principle toward a more robust proof of concept, but they are still expected to remain focused and bounded.
| Duration | Number of Projects | Share of Portfolio | Interpretation |
|---|---|---|---|
| 36 months | 9 | 30.0% | Shorter, more focused validation paths or narrower technology demonstrations. |
| 42 months | 1 | 3.3% | One intermediate-duration robotics project. |
| 48 months | 18 | 60.0% | The dominant structure for complex Pathfinder research portfolios. |
| 52 months | 1 | 3.3% | One longer cancer AI project. |
| 60 months | 1 | 3.3% | One long-duration crop-resilience project. |
The average duration is approximately 44.7 months. The robotics portfolio is the shortest on average because several projects run for 36 months, while the crop-biotech portfolio includes the only 60-month project. That makes sense: crop development, biological validation and agricultural stress-resilience studies can require longer experimental cycles than some lab-scale or robotic demonstrator projects.
Challenge 1: Biotech for Climate-Resilient Crops and Plant-Based Biomanufacturing
The first challenge selected seven projects. This portfolio focuses on improving the resilience, productivity and functionality of crops and plant systems through biotechnology, AI-guided breeding, microbiome engineering, extracellular vesicle communication, promoter design and genome editing.
| Acronym | Coordinator | Country | Duration | Focus |
|---|---|---|---|---|
| INPROBED | Keygene NV | Netherlands | 48 months | Precision promoter engineering for climate-resilient crops. |
| BIOCRAFT | Fraunhofer Gesellschaft | Germany | 48 months | Holistic biotech approaches for smart crops and efficient biomanufacturing. |
| NOAH | Universiteit Utrecht | Netherlands | 60 months | AI-guided microbiome engineering for crop resilience. |
| CitrusAId | Universitat Jaume I de Castellon | Spain | 48 months | Biotechnological engineering in citrus for stress tolerance and nutraceutical properties. |
| EVOLVE | Aarhus Universitet | Denmark | 36 months | Extracellular vesicle communication for AI-guided breeding and biofertilisation. |
| ENRICH | Center of Plant Systems Biology and Biotechnology | Bulgaria | 48 months | Genome editing and natural variation for climate-resilient, nutrient-rich crops. |
| SMARTER FRUIT | Fondazione Edmund Mach | Italy | 48 months | Synthetic meiosis, regeneration strategies and regulatory-region editing for fruit crops. |
The crop-biotech portfolio is not simply about making incremental improvements to existing agricultural varieties. It is a portfolio around programmable crop resilience. Several projects aim to move beyond single-gene editing toward more systemic control of plant traits: promoter engineering, microbiome engineering, extracellular vesicle signalling, genome editing and regulatory-region targeting.
The most strategically important pattern is the move from traditional breeding logic toward predictive and AI-guided biological design. INPROBED, for example, targets promoter engineering rather than conventional gene editing. This matters because promoters regulate when, where and how strongly genes are expressed. If promoter design becomes more predictable, crop biotechnology can become more precise without only relying on changes to coding sequences.
Challenge 2: Generative AI Agents for Cancer Diagnosis and Treatment
The second challenge selected seven projects focused on generative AI, digital twins, multimodal clinical data and cancer decision support. The funded portfolio covers lung cancer, invasive lobular breast cancer, prostate cancer, ovarian cancer, gliomas and broader cancer diagnostic AI systems.
| Acronym | Coordinator | Country | Duration | Focus |
|---|---|---|---|---|
| LUMINA | Aalborg Universitet | Denmark | 48 months | Digital twin approach for lung cancer diagnosis and treatment. |
| M4GIC-ILC | Katholieke Universiteit Leuven | Belgium | 36 months | Multi-modal, multi-site, multi-omic, multi-agent AI for invasive lobular carcinoma. |
| PROMETHEUS | German Cancer Research Center Heidelberg | Germany | 48 months | Explainable and transferable prostate cancer stratification. |
| ABIGAIL4D | Fundacio Eurecat | Spain | 52 months | Generative AI for longitudinal outcomes in individualised breast cancer care. |
| IMPACT-OC | Danube Private University | Austria | 48 months | Interpretable multimodal predictive agents and digital twins for ovarian cancer. |
| GLIOGEN-X | Siena Imaging s.r.l. | Italy | 48 months | Generative AI for virtual biopsy in gliomas. |
| EUcanAI | Ruprecht-Karls-Universitaet Heidelberg | Germany | 48 months | European unified cancer diagnostics and treatment AI agent. |
The cancer AI portfolio is a good example of where EIC Pathfinder is trying to push beyond the current AI hype cycle. The selected projects are not described as generic chatbots or broad clinical automation tools. They focus on multimodal, multi-agent, explainable and clinically targeted AI systems for difficult cancer diagnosis and treatment problems.
Several projects use the language of digital twins. This is important because a digital twin approach implies more than prediction from a static dataset. It suggests a dynamic representation of disease progression, patient status, treatment response or clinical decision pathways. In cancer care, where disease trajectories can differ substantially between patients, this is a natural fit for AI systems that must support personalised and longitudinal decision-making.
Challenge 3: Autonomous Robot Collectives for Construction
The third challenge selected eight projects. The portfolio is centred on autonomous robot collectives for construction environments, with strong emphasis on on-site assembly, timber construction, modular construction, aerial robotics, swarm systems and human-robot collaboration.
| Acronym | Coordinator | Country | Duration | Focus |
|---|---|---|---|---|
| SITEBOT | Fundacion Tecnalia Research & Innovation | Spain | 48 months | Swarm robotic intelligence for timber building on-site technologies. |
| HARPA | Technische Universiteit Delft | Netherlands | 48 months | Heterogeneous aerial robot teams for prefabricated building assembly. |
| COBRAS | University of Stuttgart | Germany | 36 months | Circular on-site building with robotic assembly swarms. |
| ROBOTOMY | Politecnico di Bari | Italy | 36 months | Robotic stereotomy. |
| SCALAR | University of Stuttgart | Germany | 36 months | Multi-scalar robotic construction for modular timber structures. |
| PTAH | The University of Sheffield | United Kingdom | 36 months | Platform for autonomous robotic housing. |
| SWIFT-BUILD | University of Bristol | United Kingdom | 36 months | Swarm-based inverted fabrication for timber buildings. |
| BRICKS | Fondazione Istituto Italiano di Tecnologia | Italy | 42 months | Building robotic intelligence and modular construction kit systems. |
This is one of the clearest examples of EIC Pathfinder targeting a difficult real-world deployment environment. Construction sites are dynamic, unstructured, safety-critical and physically variable. A robot system that works in a controlled factory is not automatically useful on a construction site. This challenge therefore focuses on robot collectives, not just individual robotic tools.
The portfolio has three striking features. First, timber construction appears repeatedly. SITEBOT, SCALAR and SWIFT-BUILD all connect robotics to timber building or modular timber structures. This suggests a link between automation and lower-carbon construction materials. Second, the portfolio strongly favours multi-robot and swarm approaches. Third, the inclusion of aerial robotics through HARPA shows that EIC is not only funding robotic arms or automated construction machinery, but broader physical AI systems that can operate in complex spaces.
Challenge 4: Waste-to-Value Devices for Circular Production
The fourth challenge selected eight projects. This portfolio focuses on converting waste or low-value inputs into useful outputs, including biomaterials, renewable chemicals, fertilisers, ethylene, fuels and circular production platforms. Spain is especially prominent in this challenge, coordinating three of the eight selected projects.
| Acronym | Coordinator | Country | Duration | Focus |
|---|---|---|---|---|
| PROPEL | Fundacion IMDEA Energia | Spain | 36 months | Sustainable synthetic cells for biomaterials manufacturing and waste upcycling. |
| SPECTRA | Chalmers Tekniska Hogskola AB | Sweden | 48 months | Solar photoreforming device for selective depolymerisation of mixed plastics. |
| AIM | Fundacio Institut Catala d'Investigacio Quimica | Spain | 48 months | AI and multiscale integration for waste-to-value digital twins. |
| REWASH | IDENER Research & Development | Spain | 48 months | Remediation of textile wastewater through a sustainable hybrid device. |
| BrinE-loop | Politechnika Wroclawska | Poland | 48 months | Electrified brine valorisation process loops and materials. |
| AIR-FERT | Lulea Tekniska Universitet | Sweden | 48 months | Capture and conversion of airborne nitrogen and sulfur oxides into fertilisers. |
| CATAMPLAS | Ben-Gurion University of the Negev | Israel | 48 months | Catalytic amyloids for plastic biodegradation. |
| CONVERT-IL | Commissariat a l'Energie Atomique et aux Energies Alternatives | France | 36 months | CO2 capture and electroconversion to ethylene using ionic liquids. |
The waste-to-value portfolio is technically diverse, but it has a common strategic direction: turning hard-to-use inputs into industrially relevant outputs. These inputs include mixed plastics, textile wastewater, brines, airborne nitrogen and sulfur oxides, CO2 and waste-derived feedstocks for biomaterials.
Several projects are device-oriented rather than purely process-oriented. SPECTRA focuses on a solar photoreforming device. REWASH targets a hybrid device for textile wastewater remediation. AIR-FERT proposes a modular electrified platform. CONVERT-IL uses an all-in-one device for CO2 conversion to ethylene. This matters because the EIC Pathfinder challenge is not only asking for better chemistry; it is asking for new technological architectures that could later become deployable systems.
Organisation Type: Universities, Companies and Research Organisations
The EIC reported that participants in the selected projects predominantly come from higher education institutions (41%), private for-profit organisations (29%) and research organisations (24%). The remaining share is distributed across other participant types.
This composition is important. A 41% higher-education share confirms that Pathfinder remains a research-heavy instrument. But the 29% private-sector share is also significant. EIC Pathfinder is not intended to be purely academic research without innovation direction. It funds early-stage technology development that can eventually feed into EIC Transition, EIC Accelerator, licensing, spin-outs or industrial adoption.
For applicants, the consortium lesson is practical: a strong Pathfinder consortium often needs the credibility of academic science, the execution capacity of research and technology organisations, and the application or exploitation perspective of companies. The ideal balance depends on the challenge, but the selected portfolio shows that EIC is comfortable with mixed consortia that already think beyond publication outputs.
What Happens Next for the Selected Projects?
All selected projects have been notified and are preparing their grant agreements. The funding is dependent on the signature of those agreements. After that, the projects will move into early-stage technology development, typically at low Technology Readiness Levels.
The selected projects also gain access to EIC support beyond the grant itself, including tailored coaching through the EIC Business Acceleration Services. Promising outputs may also be able to move toward follow-on funding pathways. In the EIC funding architecture, Pathfinder can create the early breakthrough, EIC Transition can support maturation and market preparation, and the EIC Accelerator Fast Track can support market entry for suitable innovations.
Implications for Future EIC Pathfinder Applicants
1. Challenge Fit Is Not Optional
The selected projects are tightly aligned with the wording of their respective challenges. They are not merely adjacent. Future applicants should avoid forcing a project into a challenge just because the general topic seems close. The winning projects show a direct link to the call's strategic intent.
2. EIC Wants Portfolios, Not Isolated Projects
EIC Programme Managers play a central role in defining and managing Pathfinder Challenges. This means applicants should think about how their project contributes to a portfolio. A strong proposal can be differentiated by explaining whether it explores a complementary approach, a competing technology pathway or a missing piece of the challenge ecosystem.
3. The Technology Vision Must Be Bigger Than the Experiment
The selected projects are not simply experiments. They are technology hypotheses. INPROBED is not just about tomatoes; it is about predictive promoter design. LUMINA is not just about a cancer AI model; it is about dynamic intelligence and digital-twin logic for precision care. SITEBOT is not just about a robot; it is about robot collectives for safer and greener construction. PROPEL is not just about protein production; it is about sustainable synthetic cells for biomaterials and waste upcycling.
4. Interdisciplinarity Is a Core Feature
Each of the four portfolios sits between disciplines: plant biology and AI, oncology and generative models, robotics and construction engineering, circular chemistry and device design. Future applicants should make the interdisciplinary logic explicit instead of listing disciplines as separate work packages. The proposal needs to explain why the breakthrough becomes possible only through the combination.
5. The Commercial Route Can Be Early, But It Cannot Be Absent
EIC Pathfinder supports early-stage research, but the results are expected to have breakthrough technology potential. That means the proposal does not need a complete go-to-market plan, but it does need a credible view of why the research result could matter beyond the lab. The strongest proposals usually define who would care if the technology works, what bottleneck it removes and what follow-on path could eventually be available.
2026 EIC Pathfinder Challenges: What Comes Next
The next EIC Pathfinder Challenges call for 2026 has a deadline of 28 October 2026. The announced 2026 challenge areas are:
- Advanced Materials for miniaturised energy harvesting systems
- Biotechnology for healthy ageing
- DeepRAP: deep reasoning, abstraction and planning towards trustworthy cognitive AI systems
The shift from the 2025 challenge portfolio to the 2026 challenge portfolio is notable. In 2025, the EIC funded a broad mix of climate-resilient crops, cancer AI, construction robotics and circular waste-to-value devices. In 2026, the focus moves toward energy harvesting materials, healthy ageing biotechnology and trustworthy cognitive AI. Applicants should therefore treat each year as a distinct strategic call, not as a repeat of the previous Pathfinder Challenges.
Conclusion: A Compact but Strategically Dense Pathfinder Portfolio
The 2025 EIC Pathfinder Challenges results show a compact but highly strategic portfolio: 30 projects, €118 million, four challenge areas and a 4.6% selection rate. The selected projects are not spread randomly across frontier science. They concentrate on problems where breakthrough research could support major European priorities: resilient food systems, AI-enabled cancer care, robotic construction, and circular industrial production.
For future applicants, the message is direct. EIC Pathfinder Challenges reward projects that combine scientific ambition with portfolio fit, interdisciplinary execution and a credible technology pathway. The projects selected in this round are early-stage, but they are not abstract. They are designed to become the first step in longer innovation paths that may later move through EIC Transition, EIC Accelerator or industrial adoption.
All Funded Projects
| Acronym | Title | Name | Country | Year | Challenge |
|---|---|---|---|---|---|
| INPROBED | INNOVATIVE RATIONAL PROMOTER BREEDING FOR CLIMATE RESILIENT CROPS INPROBED | KEYGENE NV | Netherlands | 2025 | Biotech |
| BIOCRAFT | Crafting system resilience – from a holistic biotech approach to smart crops and efficient biomanufacturing | FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV | Germany | 2025 | Biotech |
| NOAH | Crop resilience through AI-guided microbiome engineering | UNIVERSITEIT UTRECHT | Netherlands | 2025 | Biotech |
| CitrusAId | BIOTECHNOLOGICAL ENGINEERING IN CULTIVATED CITRUS SPECIES FOR MULTIPLE STRESS TOLERANCE AND ENHANCED NUTRACEUTICAL PROPERTIES | UNIVERSITAT JAUME I DE CASTELLON | Spain | 2025 | Biotech |
| EVOLVE | Translating Extracellular Vesicle Communication into AI Guided Breeding and Smart Biofertilization | AARHUS UNIVERSITET | Denmark | 2025 | Biotech |
| ENRICH | Exploiting genome editing and natural variation to develop climate-resilient and nutrient-rich crops, strengthening sustainability, productivity, and food security across European agriculture | TSENTAR PO RASTITELNA SISTEMNA BIOLOGIYA I BIOTEHNOGIYA | Bulgaria | 2025 | Biotech |
| SMARTER FRUIT | Synthetic Meiosis, Alternative Regeneration strategies, innovative Tools for Editing and targeting Regulatory regions in FRUIT crops | FONDAZIONE EDMUND MACH | Italy | 2025 | Biotech |
| LUMINA | LUng Modeling and INtelligence for Advanced care: A Digital Twin Approach to Lung Cancer Diagnosis and Treatment | AALBORG UNIVERSITET | Denmark | 2025 | AI |
| M4GIC-ILC | Multi-modal, Multi-site, Multi-omic, Multi-AGent AI framework for the Clinical management of ILC | KATHOLIEKE UNIVERSITEIT LEUVEN | Belgium | 2025 | AI |
| PROMETHEUS | PROstate cancer Multimodal Explainable Transferable Holistic Expert for Universal Stratification | DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG | Germany | 2025 | AI |
| ABIGAIL4D | Advancing Breast cancer Individualised Generative AI for Longitudinal Outcomes | FUNDACIO EURECAT | Spain | 2025 | AI |
| IMPACT-OC | Interpretable Multimodal Predictive Agents and Digital Twins for Ovarian Cancer | DANUBE PRIVATE UNIVERSITY GMBH | Austria | 2025 | AI |
| GLIOGEN-X | From Magnetic Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas | Siena Imaging s.r.l. | Italy | 2025 | AI |
| EUcanAI | European Unified Cancer diagnostics and treatment AI agent | RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG | Germany | 2025 | AI |
| SITEBOT | Swarm robotic Intelligence for TimbEr Building On-site Technologies | FUNDACION TECNALIA RESEARCH & INNOVATION | Spain | 2025 | Robotics |
| HARPA | Heterogeneous Aerial Robot Teams for in-situ Prefabricated Building Assembly | TECHNISCHE UNIVERSITEIT DELFT | Netherlands | 2025 | Robotics |
| COBRAS | Circular On-site Building with Robotic Assembly Swarms | UNIVERSITY OF STUTTGART | Germany | 2025 | Robotics |
| ROBOTOMY | ROBOtic stereoTOMY | POLITECNICO DI BARI | Italy | 2025 | Robotics |
| SCALAR | Multi-Scalar Robotic Construction for Autonomous On-Site Assembly of Modular Timber Structures | UNIVERSITY OF STUTTGART | Germany | 2025 | Robotics |
| PTAH | PlaTform for Autonomous Robotic Housing | THE UNIVERSITY OF SHEFFIELD | United Kingdom | 2025 | Robotics |
| SWIFT-BUILD | Swarm-based Inverted Fabrication for Timber Buildings | UNIVERSITY OF BRISTOL | United Kingdom | 2025 | Robotics |
| BRICKS | BRICKS: Building Robotic Intelligence and Modular Construction Kit System | FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA | Italy | 2025 | Robotics |
| PROPEL | PROTEIN PRODUCTION IN FULLY SUSTAINABLE SYNCELLS FOR BIOMATERIALS MANUFACTURING AND WASTE UPCYCLING | Fundacion IMDEA Energia | Spain | 2025 | Circularity |
| SPECTRA | MULTISPECTRAL SOLAR PHOTOREFORMING DEVICE FOR SELECTIVE DEPOLYMERIZATION OF MIXED PLASTICS | CHALMERS TEKNISKA HOGSKOLA AB | Sweden | 2025 | Circularity |
| AIM | AI-MULTISCALE INTEGRATION FOR WASTE-TO-VALUE DIGITAL TWINS | FUNDACIO INSTITUT CATALA D'INVESTIGACIO QUIMICA | Spain | 2025 | Circularity |
| REWASH | REmediation of textile WAstewater through a Sustainable Hybrid device | IDENER RESEARCH & DEVELOPMENT AGRUPACION DE INTERES ECONOMICO | Spain | 2025 | Circularity |
| BrinE-loop | Innovative Process Loops and Materials for Electrified Brine Valorization | POLITECHNIKA WROCLAWSKA | Poland | 2025 | Circularity |
| AIR-FERT | Modular Electrified Platform for Capture and Conversion of Airborne Nitrogen and Sulfur Oxides into Fertilizers | LULEA TEKNISKA UNIVERSITET | Sweden | 2025 | Circularity |
| CATAMPLAS | CATALYTIC AMYLOIDS FOR PLASTIC BIODEGRADATION | BEN-GURION UNIVERSITY OF THE NEGEV | Israel | 2025 | Circularity |
| CONVERT-IL | capture and electroCONVERsion of CO2 to eThylene via an all-in-one device using Ionic LiquidS | COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES | France | 2025 | Circularity |
