Developed in collaboration with Michigan Central and Google's Gemini team, MCX was an experimental MVP platform designed to help startups discover regional opportunities more efficiently by leveraging AI to reduce friction in the onboarding and matchmaking process.
 

The platform enabled startups to upload unstructured assets like pitch decks and company overviews, which Gemini’s AI parsed into standardized, verifiable profiles. These profiles formed the foundation of a dynamic matchmaking system that surfaced relevant opportunities—including partnerships, funding sources, grants, and talent—based on real-time regional data.

MCX also tested Gemini’s capabilities in automating data extraction, harvesting external opportunity data, and matching startups with high-fit resources.

The prototype validated both the potential and limitations of AI-driven infrastructure as a backend service for future integrations.