EIC Accelerator 2026 Open
TRL 5–7 · €2.5M GRANT + EQUITY
AI scans 35+ EU and Spanish funding databases daily. You get a ranked shortlist of high-probability grants — in 10 minutes per week.
For EU tech founders, CFOs, and grant leads tired of reading the wrong calls.
Thousands of calls across fragmented portals. No personalization. No filtering. You burn ~120 hours per year on manual search.
→ You burn ~120 hours per year on manual search.
Scanning portals, reading calls, tracking deadlines. Time that should go to building product. That's 3 full work weeks lost annually.
→ That's 3 full work weeks lost annually.
Every eligible call you miss is non-dilutive capital left on the table. Missed opportunities compound year over year.
→ Missed opportunities compound year over year.
Every hour spent on the wrong calls is an hour not spent building your product or pursuing the right opportunities.
Six AI capabilities working together to turn funding discovery from a 120-hour annual project into a 10-minute weekly review.
We monitor 35+ EU, national, and regional grant databases daily. Every new call is ingested, parsed, and structured — appearing in your dashboard within 24 hours of publication.
AI maps your sector, TRL stage, team size, geography, and revenue against eligibility criteria. No irrelevant calls.
Each matched grant gets an AI-generated eligibility score based on fit with evaluation criteria, consortium requirements, and historical success patterns.
Automated deadline tracking for submission windows, stage gates, and documentation requirements.
Grants ranked by expected ROI: eligibility score × grant size × strategic fit. Focus on what's worth your time.
Structured proposal drafting inside FundRadar. AI-guided sections based on call requirements.
| Metric | Before FundRadar | With FundRadar |
|---|---|---|
| Time spent searching | 120h/year | <10 min/week |
| Calls reviewed | 200+ irrelevant | 5–10 high-match |
| Success rate | 12–18% | 40–60% |
From company profile to submitted proposal — systematic, data-driven, and built for speed.
Enter company details: sector, size, TRL, geography, past projects, funding priorities.
→ Takes 5 minutes.
FundRadar monitors 35+ databases daily and maps every open call against your profile.
→ New matches appear within 24 hours.
Each opportunity gets an eligibility score and ROI ranking. Sort by score, deadline, or grant size.
→ Filter by programme or geography.
AI-guided proposal builder with section templates, evaluation criteria mapping, and compliance checks.
→ Structured, high-quality submissions.
Higher-quality submissions with full alignment to evaluation criteria.
→ Strategic organizations achieve 40–60% success rates.
Strategic organizations achieve 40–60% approval rates. FundRadar gives every SME the same intelligence advantage.
AI does the discovery, filtering, and deadline tracking. You focus on building.
Automated deadline tracking ensures you never miss a submission window.
EU grants don't take equity. The ROI on a successful application is asymmetric.
You only see grants you can actually win.
Proposal builder with templates, evaluation criteria mapping, and compliance checks.
Be among the first 200 companies to use FundRadar. Shape the product with your feedback and lock in beta pricing.
Beta access is free. After launch, we offer a freemium model with premium features for paid tiers. Beta users get extended free access and locked-in pricing.
At launch: all EU27 countries plus Norway, Switzerland, and UK. We monitor Horizon Europe, EIC, Digital Europe, EUREKA, and national programmes in DE, FR, ES, IT, NL, PL. More countries added based on demand.
No. FundRadar is an intelligence tool, not a consultancy. We help you discover and prioritize opportunities. Success depends on your proposal quality and project merit.
The portal lists everything. FundRadar filters, scores, and guides. We turn 120 hours of manual work into a 10-minute weekly review.
We parse call documents, extract evaluation criteria, and map them against your company profile — sector, TRL, size, geography, past projects. The score reflects fit probability based on historical success patterns.