Submission-ready EU proposals, in hours. Not months.
WinGrants AI is the proposal generation engine for Horizon Europe. Built for researchers, it analyses the call, grounds your idea in the literature, maps the competition, builds the right consortium, and drafts a proposal aligned with EU evaluation criteria — so you can get back to the science.
Horizon Europe RIA & IAEIC Accelerator (soon)EDF · European Defence Fund (soon)ERC Starting & Advanced (soon)Digital EuropeUNITEErasmus+ (soon)COST (soon)Interreg (soon)Horizon Europe RIA & IAEIC Accelerator (soon)EDF · European Defence Fund (soon)ERC Starting & Advanced (soon)Digital EuropeUNITEErasmus+ (soon)COST (soon)Interreg (soon)
Who's this for
Built for people who'd rather be doing the research.
From solo PIs and early-career researchers to 30-partner consortia — WinGrants AI adapts to how your team already works.
Corporate R&D teams
Turn your innovation roadmap into non-dilutive EU funding. Match strategic priorities to live calls and ship submission-ready proposals — without pulling engineers off the product.
IA · CSA Industry-led
Research Universities & RTOs
Support every researcher without overloading the research office. Centralized workspace, institutional knowledge base, standardised guardrails across every submission.
RIA · IA Horizon Europe
R&I Agencies & Consultancies
Run more bids in parallel without growing the team. Multi-client projects, competitive outputs, and audit-ready compliance across every submission.
Multi-clientReseller
Deep-tech SMEs & Spinouts
Win non-dilutive capital without hiring a grant team. From call text to submission-ready EIC Accelerator in a single sitting.
EIC AcceleratorPathfinder
Why proposals fail
Researchers lose to process, not ideas.
Every missed deadline, every rejected bid — they share the same failure modes. We designed WinGrants AI around each one.
No. 01
Research takes too long.
Mapping state-of-the-art, TRLs, regulations, and policy context eats up 3–5 days of PI time before a single word hits the page.
No. 02
Proposals drain capacity.
A single call can lock down your best people for 6–8 weeks — pulling them off research, teaching, and the next call in the pipeline.
No. 03
Consortia are hard to get right.
Most teams settle for whoever replies first — weakening credibility, geographic balance, and the Implementation score.
No. 04
Partner coordination is messy.
Endless follow-ups for bios, budgets, and WP contributions stretch timelines and burn coordinator hours.
No. 05
Drafts lack flow.
When 8 contributors jump in across 3 weeks, proposals feel stitched together — and evaluators notice.
No. 06
Success rates are brutal.
With funding odds as low as 5–10%, even strong ideas miss if they’re not framed, scored, and timed just right.
Product
Product walkthrough.
Tour our workspace — from Opportunities Radar to AI Evaluation.
Click any tab to see what your team gets on day one.
HORIZON EUROPE
Find the right call for your next proposal.
✦ PersonalizedAll Calls 299
⚲ Filters
4 in Digital, Industry & Space6 in Health
Title & matchStatusDeadlineBudget
Apply AI: Challenge-Driven AI Innovation Booster
HORIZON-CL4-2027-04-DIGITAL-EMERGING-04
Strong Fit100% funding
ForthcomingMar 18, 2027€42,000,000
Virtual Human Twins for clinical decision support
HORIZON-HLTH-2027-03-TOOL-04
Strong Fit100% funding
ForthcomingSep 22, 2027€40,000,000
Demand-side pilots on Telco Edge Cloud Infrastructure
HORIZON-CL4-2027-04-DATA-08
Strong Fit70% funding
ForthcomingMar 18, 2027€38,000,000
i.Concept Note280 words
Concept Note
HORIZON-CL6-2026-01-BIODIV-05
Problem: Current ecosystem degradation is driven by a complex set of pressures — land-use change, climate change, pollution…
Approach: PROJECT will: (i) couple biophysical and socio-economic components in a single modular architecture; (ii) embed participatory…
AI-based parametric modelling● StrongDirectly answers the call for "methodologies to facilitate decisions made at the end-of-use".
Machinery domain● MediumHigh economic value, but low raw unit volume.
Adaptive WAAM + Machining● StrongIntegrates traditional manufacturing with automation.
Incoming core assessment● WeakMass-sorting workflow is missing — critical gap.
CRITICAL COMPLIANCE GAP
The "Incoming core assessment" element is the single most dangerous gap. Without a defined mass-sorting workflow, the proposal will fail the Excellence pillar.
← Back to AI drafts
HORIZON-CL4-INDUSTRY-2025-0…
✓ Completed✦ EvaluatedScorecard mode
Context
◎Call Documents1
▣Concept Note1
◉Consortium Info1
⧉Strategy Note1
⌕Research Note1
GeneratedRevisions 1
Horizon Europe Standard Application Form (Part B)
Acronym
ReXeR
Title
Remanufacturing for integrated value chain innovation
Call
HORIZON-CL4-INDUSTRY-2025-01
Action type
IA
Duration
42 months
▲Scorecard
13.33/15GOOD
Excellence4.37
Impact4.40
Implementation4.63
Compliance4.38
EVALUATION · CATEGORY
Excellence · 10 sub-criteria
Overall 9.86 / 15 · Mixed signal — treat the per-category breakdown as the priority list.
3.45/5FAIR
SUB-CRITERIA
How it works
10 AI modules. One submission-ready proposal.
Specialised AI agents work in sequence across every stage of the proposal lifecycle — from call discovery to redrafted submission.
◈
Built-in guardrails on every output. Open Science · Gender Balance · TRL Justification · Geographic Spread · FAIR Data ·
Scans open and upcoming calls across Horizon Europe, Digital Europe, EIC, UNITE, and non-Horizon EU programmes — then matches them to your org profile, expertise, and geographic scope.
Agentic AI for Industrial InspectionHORIZON-CL4-2026-DIGITAL-02
€5.8M
Mar 18
Strong fit
Autonomous Maritime SystemsHORIZON-CL5-2026-D6-03
€8.0M
Apr 09
Good fit
EIC Accelerator · Deep techEIC-ACC-BLEND-2026
€2.5M
May 22
Moderate fit
Digital Europe · AI FactoriesDIGITAL-2026-AI-07
€12M
Jun 14
Weak fit
Validates your concept note against call requirements before anything else gets built. Unclear objectives, scope mismatches, weak alignment — all flagged with specific fixes. Iterate until it passes.
Pass/fail gate for every downstream asset
Specific fixes, not generic feedback
AI will fix it on your behalf
OverviewCriteriaReady to draft
Overall readiness
82/100 · Pass
● Ready
Criterion scores
Problem & relevance
4.5
Innovation vs SOTA
4.0
Objectives clarity
3.5
EU impact
4.4
3 fixes suggested
→ Tighten O2 to a single KPI
→ Add TRL 5 justification with 2 EU projects
→ Expand gender-balance statement
CORDIS-powered partner matching from your validated concept note. Ranked partners with role justifications and contact details for direct outreach.
CORDIS project history analysis per partner
Geographic-spread compliance checking
Direct contact details (Emails + Linkedin profiles)
Proposed (7)Backup (4)● Geographic compliance OK
Coordinating university
Coordinator · Research
🇳🇱 NL · 18 HE projects
Industrial AI lab
WP Lead · Industrial AI
🇮🇹 IT · 12 HE projects
Applied research institute
Tech · Materials
🇩🇪 DE · 31 HE projects
Industry end-user
End-user
🇩🇰 DK · 6 HE projects
Edge-compute RTO
RTO · Edge compute
🇵🇹 PT · 22 HE projects
Widening-country partner
Widening partner
🇪🇪 EE · 4 HE projects
Auto-maps the scientific landscape and identifies research gaps — then evaluates each gap on time, cost, and technical feasibility so you pick the angle most likely to land.
Research gap identification + feasibility scoring (time, cost, technical)
State-of-the-art & TRL mapping with citations
Prior EU project analysis (CORDIS)
Citations (42)Gap mapPolicy
Agentic VLMs for industrial inspection
Recent peer-reviewed work · TRL 3 → 4
Zero-shot defect detection; meaningful gains over baseline. Gap: saline-environment adaptation.
Adjacent Horizon Europe consortium
Active grant · marine RTO coordinator
Complementary but doesn't address bladed-structure defects — clear positioning for this call.
Pre-mortem for every call. Frames the angle, sizes the budget, structures WPs, flags risks — and shows you how to position and differentiate from the few projects already funded in your area.
Positioning & differentiation vs. funded projects in the area
Coordinator-fit analysis
Risk management pre-mortem
VerdictCompetitorsRisk
Recommendation
Go · high confidence
Est. success probability
28%
Competing consortia likely4–6
Topic crowdingMedium · 3.2/5
Coordinator fitStrong
Budget sweet spot€5.5M–€6.0M
5-step in-the-loop drafting: ingest context documents → draft the section → evaluate against the rubric → decide whether to redraft → redraft with another model. Each pass refined by the next state-of-the-art reasoning LLM in a multi-agent orchestration pipeline.
Multi-agent orchestration across multiple state-of-the-art reasoning LLMs
The overarching ambition of ATLAS-WIND is to transform the inspection of offshore wind infrastructure from a human-limited, reactive process into a continuous, agentic AI-driven workflow delivering measurable reliability gains across the European offshore fleet.
We pursue 4 scientific-and-technological objectives, each aligned with destination DIGITAL-2026-02 expected outcomes. O1 advances the state of the art in domain-adaptive vision-language models
Generates the high-definition visuals every Horizon Europe proposal needs — drop-in ready for the official template. Saves a week of design work, gives evaluators the clarity they reward.
Gantt charts & WP interrelation diagrams
Person-month effort tables, competence maps
Methodology & tech-stack visuals
High-definition, drop-in for the EU template
GanttPM effortMethodology
Work packageM1 — M48
WP1 Coord.
WP2 Methods
WP3 Dataset
WP4 Pilots
WP5 Dissem.
Auto-allocates costs across WPs, staff categories, and countries. Cross-checked against implementation and consortium for internal consistency.
Horizon Europe financial rules enforced
WP-level allocation & partner breakdown
Internal consistency cross-checks
By WPBy partner● Rules OK
Work package
Personnel
Other
Total
WP1 · Coordination
€280k
€45k
€325k
WP2 · Core methods
€1,420k
€180k
€1,600k
WP3 · Dataset
€920k
€115k
€1,035k
WP4 · Pilots
€1,180k
€305k
€1,485k
WP5 · Dissemination
€640k
€90k
€730k
Total
€4,440k
€735k
€5,175k
2 evaluation modes — both with 70–80% historic overlap with real ESR outcomes:
AI Scorecard — 300+ evaluation criteria forensic audit, per-paragraph scoring, more granular than any human panel.
ESR scoring on 0.5-point brackets
300+ criteria Scorecard with spider-plot breakdown
Citations pinned to proposal sections
ESR modeScorecard · 300+ criteria
Excellence
4.5+0.5
Impact
4.0+1.0
Implementation
4.5+0.5
Top fix: §2.1 quantify deployment scenarios 2026–2030 → likely +0.3
Integrates feedback from both evaluation modes or your human reviewers. Cross-model redrafting catches blind spots. 2 redraft cycles included.
Powered by dual evaluation feedback
Cross-model blind-spot correction
Before/after score tracking per paragraph
§2.1 Impact pathway§1.3 Methodology
Before · 3.0 / 5
The project will have broad impact on European wind energy, contributing to climate goals and industrial competitiveness across member states.
After · 4.5 / 5
ATLAS-WIND targets a 40% reduction in inspection costs across 5,400 EU offshore turbines by 2028, translating to €780M annual savings and enabling the REPowerEU 2030 targets.
3.0 → 4.5
+1.5 pts after 1 loop
In 3 steps
From call text to submission, same day.
i.
Paste the call
Drop in the call text or URL. We parse requirements, destination, topic codes, template, and scoring rubric in seconds.
ii.
Shape the proposal
Pass your concept note through the Health Check, build the consortium, run strategy — all before drafting begins.
iii.
Draft, score, redraft
Full draft in one hour, evaluated on the ESR rubric, redrafted with a click. Ready for your expert final mile.
Compare
WinGrants AI vs. the alternatives.
End-to-end coverage is what separates purpose-built tooling from everything else.
Capability
WinGrants AI
Solo effort
Generic LLM
Specialized AI tools
Call discoveryFind the right grant, fast
✓ Personalised matching + competition estimates
Manual portal browsing
Often hallucinates calls
Basic keyword search
Concept note validationCatch issues pre-drafting
✓ Pass/fail + specific feedback + AI-recommended fixes
Subjective peer review
Generic feedback, no rubric
Usually not offered
Consortium buildingRight partners, right roles
✓ CORDIS-ranked + role justifications + contact details
Days lost on B2Match matchmaking events
No CORDIS access
Basic directory lookup
Competitive intelligenceGo/no-go & mapping
✓ Verdict, competitor mapping, risk pre-mortem
Days of desk research
Often outdated
Usually not offered
Budget allocationHE financial rules
✓ Auto-allocated, rules-enforced
Complex spreadsheets
Doesn't apply HE rules
Static templates
Proposal draftingExcellence / Impact / Impl.
✓ Single-sitting draft + multi-pass AI redrafts in-loop
✓ Open-source models on your own infrastructure (Enterprise plan)
—
Vendor cloud only
Vendor cloud only
FAQ
Things people ask before they sign up.
What grant programmes does WinGrants AI support? +
Drafting currently supports Horizon Europe RIA / IA. ERC, EIC Accelerator, CSA, Erasmus+, Interreg, and EIT are coming soon. The Opportunities Radar surfaces calls across all European Commission funding (Horizon Europe, Digital Europe, ERC, EIC, and more).
How is this different from ChatGPT, Claude, and Gemini? +
Generic AI doesn't know Horizon Europe templates, ESR evaluation criteria, or call-specific constraints — and it hallucinates calls, citations, research that don't exist. WinGrants AI is purpose-built for researchers: multi-agent orchestration, the 300+ criteria Scorecard, and call-specific guardrails baked into every output. You'll see that on your free sample section — no card required.
Is my research data secure? +
Yes. EU-hosted, GDPR-aligned, ISO 27001 controls. We never use your proposals for model training, and a DPA is available on request. See our Trust & Security page for details.
How long does a full proposal take? +
Most teams go from call text to a first full draft within a working day. Concept Note Health Check is near-instant; Research Note, Strategy Note, and Consortium Builder each run in minutes. The full proposal draft takes about 2 hours but your final timeline depends on consortium input and how much you iterate.
Do I still need to edit the output? +
Yes. WinGrants AI takes you from 0 to a strong, evaluator-aligned draft — typically 80–90% submission-ready. Your domain expertise, consortium input, and strategic refinement finish the last mile. The best proposals always carry human judgement.
Can I try it before buying? +
Yes. Sign up for free and get an opening section drafted on us — no card required. When you're ready to submit, top up credits at €1,000 each.
