Objective
The €350B European renewable energy sector suffers from inefficient market intelligence: mid-sized developers miss €50M+ opportunities because existing solutions are too slow, expensive, or lack domain specialization. Consultants cost €20K+ per project and take weeks. Data platforms require manual searching. Generic AI chatbots produce superficial answers without verified domain data. Developers cannot continuously monitor 15+ markets.
Greenvi AI is developing an Autonomous Multi-Agent Intelligence System operating 24/7 without user input, replacing weeks of analysis with minutes of expert-level automated intelligence. Six specialized agent teams enhanced with access to 50K+ renewable energy documents and 25K+ entity knowledge graph: Market-Prediction (auction timing ±2 months, price ±10%), Market-Strategy (go-to-market roadmaps), Business-Planning (financial models), plus three supporting teams. The system monitors continuously, coordinates teams via proprietary orchestration logic, and proactively alerts users with integrated recommendations.
From TRL 4 (lab-validated prototypes) to TRL 6+ through: (1) autonomous operation (99% uptime), (2) 85% accuracy vs. expert baseline (100+ scenarios, statistical validation), (3) multi-agent orchestration (95% success), (4) 5 pilots over 12+ months. Novel validation framework comparing AI against 3-5 expert analysts.
Technical: Domain-specific context engineering via RAG, knowledge graph (25K+ entities), continuous learning, event-driven microservices. Innovation: orchestration enabling autonomous coordination across teams, shared context
Team: 10+ years renewable energy expertise (World Bank, OECD, Blymyer), 75% working together, pilot access via ASEU and UABIO. Targets: €500K+ ARR, 3+ LOIs.
Impact: EU Green Deal acceleration (weeks to minutes), 8 Ukrainian deep tech jobs (later 50+), autonomous market intelligence category creation, TRL methodology for domain-specific multi-agent AI.
**Character count:** 1,746 ✅ (2
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering energy and fuels renewable energy
- natural sciences computer and information sciences knowledge engineering
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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HORIZON.3.1.3 - Additional EIC activities
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC - HORIZON EIC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2025-UKRAINIANTECH-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
04052 KYIV
Ukraine
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.