Discovery Engine
- Search across 1,000+ grant sources (federal, state, private)
- Semantic matching for your startup's profile
- Real-time deadline tracking and notifications
- Relevance scoring (≥80% match focus)
Grant Automation Platform
AI-powered discovery, eligibility scoring, and proposal generation. From grant awareness to submission-ready draft in 48 hours.
The Problem
Startups waste weeks finding relevant grants and crafting proposals. Traditional approaches are expensive (consultants at $200+/hour), time-consuming (months of discovery), and low-hit-rate (many proposals rejected). With $89.4B in AI VC funding and autonomous agent seed rounds at $700M in 2025, grant funding is critical—but the process is broken.
Market validation: Competitors like Skip, Granter.ai (3,000+ customers), and Grant Orb prove founder willingness to pay for this solution.
The Solution
VoidCat Grant Automation combines AI discovery with intelligent proposal generation. Semantic matching across federal, state, and private grant databases. Automated eligibility scoring. Compliance-aware drafting with templates. Submission-ready proposals in 48 hours instead of weeks.
Eligibility & Scoring
- Automated eligibility assessment
- Fit analysis (stage, sector, geography)
- Funding amount vs. your need
- Compliance requirement mapping
Proposal Generation
- AI-drafted proposals using your company info
- Compliance templates for SBIR/STTR/other
- Revision flows and export to PDF/Word
- Evaluation criteria alignment checking
How It Works
Technical workflow: From grant discovery to submission-ready proposal in four automated stages.
Stage 1: Discovery & Matching
Input: Company profile (industry, stage, location, funding needs) uploaded to system.
Process: Semantic search engine queries 1,000+ grant databases (federal APIs like grants.gov, state databases, private foundation listings). Vector embeddings of company profile matched against grant descriptions using cosine similarity. Results ranked by relevance score (≥80% match threshold).
Output: Prioritized list of relevant grants with deadline tracking and estimated funding amounts.
Technical Stack: Python + LangChain for semantic search, Pinecone vector DB, real-time API polling with caching layer.
Stage 2: Eligibility Assessment
Input: Grant requirements (eligibility criteria, sector restrictions, geographic constraints, funding caps).
Process: Automated rules engine evaluates company profile against grant criteria. Multi-dimensional scoring: sector fit, stage alignment, geographic eligibility, funding amount match. Compliance requirements extracted and mapped to company capabilities.
Output: Eligibility score (0-100), confidence rating, required documentation checklist, estimated win probability.
Technical Stack: Rule-based validation + LLM-assisted criteria interpretation for ambiguous requirements.
Stage 3: Proposal Generation
Input: Company information (mission, team, financials, technical approach), grant evaluation criteria, compliance templates.
Process: AI drafting engine generates proposal sections using RAG (Retrieval-Augmented Generation): retrieves relevant company data from knowledge base, applies grant-specific template (SBIR Phase I/II, STTR, state-specific formats), generates narrative aligned with evaluation criteria, validates compliance requirements (budget formats, page limits, required sections).
Output: First draft proposal with all required sections, formatted to specification, ready for human review.
Technical Stack: Claude 3.5 Sonnet for generation, custom prompt templates per grant type, structured output validation.
Stage 4: Review & Submission Export
Input: AI-generated draft, evaluation criteria checklist.
Process: Human review interface highlights sections requiring attention, alignment checker validates against grant criteria, revision tracking with version control, export to PDF/Word with required formatting.
Output: Submission-ready proposal package with all required documents, formatted correctly, ready for upload to grant portal.
Quality Assurance: Automated checks for word count, required sections, budget validation, formatting compliance before export.
⏱️ Time Savings
Traditional Process: 40-80 hours per proposal (manual research, drafting, formatting)
With Grant Automation: 4-8 hours per proposal (AI drafts 90% of content, human reviews and refines)
Result: 85-90% time reduction, allowing teams to pursue 5-10x more funding opportunities.
Core Features
-
Grant Search
Semantic search across 1,000+ sources; instant discovery ranked by relevance. -
Eligibility Scoring
Automated fit analysis with transparency; know your win probability before investing effort. -
Proposal Drafting
AI generates compliance-aware first drafts; saved 20+ hours per proposal vs manual. -
Compliance Templates
Built-in templates for SBIR/STTR/state/private grants; auto-validated. -
Deadline Tracking
Calendar alerts; never miss a deadline; strategic planning dashboard. -
ROI Calculator
Estimate expected funding vs effort; prioritize high-confidence opportunities.
Technical Stack & Quality
Frontend
Alpine/Tailwind static UI, optimized for responsiveness and speed.
Backend
Cloudflare Workers (Hono), D1 database, KV cache, R2 storage.
Monetization
Stripe subscriptions, webhooks, usage tracking, flexible billing.
Quality Assurance
Playwright E2E tests, security scanning, 90%+ coverage, CI/CD gates.
Pricing & Tiers
| Plan | Price | Searches/mo | Proposals/mo | Best For |
|---|---|---|---|---|
| Starter | $29/mo | 10 | 3 | Solo founders exploring opportunities |
| Pro | $99/mo | 50 | 15 | Growing startups with active funding |
| Team | $299/mo | Unlimited | 50 | Teams managing multiple proposals |
| Enterprise | Custom | Unlimited | Unlimited | White-label, concierge, API access |
Market Validation
Grant automation is proven:
- Skip: AI grant discovery and application platform
- Granter.ai: 3,000+ companies using platform for discovery and management
- Grant Orb: Full proposal generation with compliance focus
- OpenGrants: Community-driven grant finder
Market drivers: $89.4B in AI VC funding (34% of all VC investment), 33 AI startups crossed $100M+ in 2025, $700M in autonomous agent seed funding alone. Founders have capital available; they need to find and apply for grants efficiently.
Try It Now
Grant Automation is live and ready to explore. The current implementation features semantic grant matching, eligibility scoring, and proposal generation.
🚀 Live Application: sorrowscry86.github.io/voidcat-grant-automation/
📦 Source Code: github.com/sorrowscry86/voidcat-grant-automation
Open source, deployed to Cloudflare Pages, MCP-native architecture with OAuth 2.1 security.
Roadmap & Evolution
- Q1 2026: Beta → Paid transition; first 50 paying customers; templates v2 with compliance checking
- Q2 2026: Partner grants (VC, accelerator) + templates; SMB pilot playbook
- Q3 2026: Enterprise pilot support; concierge tier; API access for integrations
- Q4 2026: Public launch; competitive positioning against Skip, Granter.ai, Grant Orb
Why VoidCat Grant Automation?
Speed
48-hour turnaround from discovery to submission-ready draft vs weeks with consultants.
Cost Efficiency
$29-$299/mo vs $200+/hour consultant fees. ROI realized within first successful grant.
Transparency
Eligibility scoring shows your win probability upfront. Strategic grant selection.
Compliance
Built-in templates for SBIR/STTR, state, private grants. Auto-validated against evaluation criteria.