Grantx provides an AI‑driven platform that automatically builds an organization profile from a website URL and matches it against a database of over 1 million grants, delivering a ranked list with fit scores, funding amounts, eligibility, and deadline alerts. The solution includes a workflow dashboard for tracking applications, advanced filtering, and analytics on success likelihood, helping nonprofits, research institutions, and startups reduce grant research time and improve match quality.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations seeking grant funding must manually search multiple databases, enter detailed organization information, and evaluate fit, which is time‑consuming and prone to missed opportunities.
Solution
Grantx offers an AI‑powered platform that creates a deep profile of an organization from its website URL and instantly scans a database of millions of funding programs. The system returns a ranked list of high‑fit grants with clear scores, funding amounts, eligibility criteria, and deadline alerts. Users can filter results by funder type, geography, and size, and track applications through an integrated workflow dashboard. The platform also provides analytics on grant success likelihood and stores all data securely, ensuring privacy. By automating discovery and evaluation, Grantx reduces research time by up to 80 % and improves the quality of grant matches.
Target Audience
Primary customers are U.S.-based nonprofits, universities, research institutions, government agencies, and startups that pursue non‑dilutive capital.
Features
- Automatic organization profiling from a single URL, eliminating manual data entry
- Predictive AI matching across a database of over 1 M grants and 100 K funders
- Scoring and insight metrics for each grant, including fit, amount, and deadline visibility
- Interactive dashboard for deadline tracking, task assignment, and application workflow management
- Advanced filtering by funder type, geography, grant size, and other criteria
- Secure, private data handling with no use of client data for model training