"Businesses are generating more video than ever. From years of broadcast archives to thousands of store cameras and countless hours of production footage, most of it just sits unused on servers, unwatched and unanalyzed. This is dark data: a massive, untapped resource that companies collect automatically but almost never use in a meaningful way. To tackle the problem, Aza Kai (CEO) and Hiraku Yanagita (COO), two former Googlers who spent nearly a decade working together at Google Japan, decided to build their own solution."
"Earlier approaches could label objects in individual frames, but they couldn't track narratives, understand causality, or answer complex questions about video content. For clients with decades of broadcast archives and petabytes of footage, even basic questions about their content often went unanswered. What really changed was the progress in vision-language models between 2021 and 2023. That's when video AI started moving beyond simple object tagging, Kai noted."
Businesses generate vast amounts of unviewed video and audio that become dark data, remaining unused and unanalyzed on servers. InfiniMind, a Tokyo-based startup founded by Aza Kai and Hiraku Yanagita, builds infrastructure to transform petabytes of archival and live footage into structured, queryable business data. Earlier video tools labeled objects per frame but failed to capture narratives, causality, or answer complex content queries across large archives. Advances in vision-language models between 2021 and 2023, along with lower GPU costs and steady performance gains, enabled more capable video AI. InfiniMind secured $5.8 million in seed funding to scale the solution.
Read at TechCrunch
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