Grant Match AI
AI-powered grant matching for climate tech and sustainable materials. TEA + regulatory intelligence to match opportunities with projects.
Overview
An AI system that matches climate tech and sustainable materials projects with relevant grants, based on techno-economic analysis, regulatory framing, and eligibility criteria. Reduces the grant search and qualification burden for deep-tech teams who lack dedicated grant writers.
The Opportunity
NSF, USDA, DOE, and state programs offer substantial funding for climate tech—but finding the right fit, understanding eligibility, and tailoring applications is a full-time job. Many strong projects never apply because the discovery and matching step is opaque.
Approach
Structured knowledge base of grants (eligibility, focus areas, deadlines) + semantic matching against project descriptions. Surface not just "matches" but "why" and "what to emphasize." Integrate TEA language (TRL, scalability, commercial path) that funders look for.
Focus Areas
- •Grant ontology and structured data
- •Semantic project–grant matching
- •Eligibility reasoning
- •Application emphasis suggestions