Complete Application Generation
RAG-powered writing system generates publication-ready NIH, FDA, and CDC grant applications. Multi-agent simulation (Technical, Clinical, Commercial) scores and refines your responses. Download NIH-compliant PDF/DOCX and submit with confidence.
vs. writing from scratch
Draft to submission-ready
vs. $10K+ consultants
RAG-Powered Writing Engine
Learn from 50+ successful NIH SBIR/STTR and FDA grants in healthcare
Healthcare Grant Library
Vector database of successful NIH SBIR/STTR and FDA grant applications. Search by question type, therapeutic area, clinical stage, TRL, and award size to find relevant healthcare examples.
Semantic Search
For each grant question, retrieve 3-5 most relevant successful responses. AI adapts winning patterns to your company profile.
Context Injection
Combines your company profile, retrieved examples, and RFP requirements to generate targeted, high-quality responses.
Consistency Checking
Cross-references all responses to ensure claims match across sections. No contradictions that trigger reviewer rejection.
3-Assessor Simulation
Every response scored by simulated expert reviewers
Technical Assessor
Evaluates technical feasibility, innovation claims, methodology soundness, and risk mitigation strategies. Scores 0-10 on technical merit.
Business Assessor
Reviews market opportunity, commercial viability, revenue model, competitive positioning, and budget justification. Scores 0-10 on business case.
Academic Assessor
Checks research rigor, citation quality, broader impacts, dissemination plans, and alignment with grant objectives. Scores 0-10 on academic merit.
Iterative Refinement
Responses scoring below 7/10 are automatically revised. AI addresses specific feedback from each assessor until all scores reach 7+.
Quality Guarantee
Final applications average 8.2/10 across all three assessors. Only release submission-ready applications—no half-finished drafts.
Complete Application Package
Everything you need to submit a winning grant
Export Formats
Strict Word Limit Enforcement
Grant applications with exceeded word limits are automatically disqualified—no exceptions. Our system enforces exact word counts per RFP specifications.
Handles edge cases: markdown formatting, bullet lists, tables, and special characters all counted correctly per grant agency rules.
We won $250K on our first AI-generated application. The 3-assessor feedback caught issues our internal team missed. Best $999 we ever spent.