VOYGR

Vlad Baskakov spent years at Google watching AI companies struggle with one ugly problem: their location data is garbage. Addresses are wrong, places don't exist anymore, and POI data decays faster than you can say "we're live in production." So he built VOYGR to fix it. Real-world place intelligence for AI apps and agents—continuously validating and enriching location data so autonomous systems, delivery logistics, and location-aware AI don't send users to a parking lot that closed in 2019.

Yarik Markov, Albi Wiedersberg, Bilawal Sidhu, and Lev Feofanov joined him to build what basically amounts to GPS truth serum. Every AI agent making location-based decisions needs reliable place data—restaurants, storefronts, offices, landmarks—and the existing databases are full of stale entries and duplicates that make machine learning models hallucinate addresses like they're playing six degrees of Kevin Bacon. VOYGR continuously validates and enriches this data so AI doesn't crash into reality.

The location data market is massive and everyone building AI agents needs accurate geography. Vlad brought the product strategy chops from Google, and his team is attacking a boring but critical problem that nobody else wants to touch. This is the plumbing that makes location-aware AI actually work.