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Founder · MVP

AI Grant Matching Platform

An AI-powered platform matching African startups and SMEs with relevant grants through automated eligibility screening.

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My role
Founder and product lead — problem research, matching logic and MVP delivery.
Status
MVP.

What it does

Founders describe their business once; the platform screens open grant calls against eligibility criteria and returns a shortlist with the reason each call matched or was ruled out.

The problem

Grant funding for African startups and SMEs exists but is badly distributed information. Calls sit on scattered sites with dense eligibility rules, so founders spend days reading criteria they were never eligible for.

The approach

Structured extraction of eligibility criteria from grant calls, matched against a founder's profile, with automated screening producing a ranked shortlist and a short explanation for each result.

  • Eligibility rules extracted into structured fields so matching is explainable, not a similarity score.
  • Explanations attached to every match and rejection.
  • Narrow first scope: screening quality over catalogue size.

Outcome & status

Built and running as an MVP focused on eligibility screening accuracy.