InfiniMind bets enterprises will mine unviewed video; $5.8M seed from UTEC

InfiniMind makes enterprise video-intelligence infrastructure: TV Pulse analyzes broadcast TV in real time for media and retail clients, and DeepFrame turns up to 200 hours of footage into a searchable knowledge base with visual, audio and speech understanding, deployable in a VPC or on-premises.

Vision-language models by 2024 could follow narrative, so enterprises would want long-form video made queryable — hence no-code, privately deployable infrastructure.

Aza Kai and Hiraku Yanagita spent nearly a decade together at Google Japan, Kai in cloud/ML/data science and Yanagita in brand and data solutions. At Google they watched clients sit on petabytes of broadcast and camera footage and fail to answer even basic questions about it — object tagging existed, but nobody could track narrative, causality or long-form content. Kai says 2021–2023 advances in vision-language models changed what was possible, and by 2024 the market demand was clear enough that the two left to found InfiniMind (formerly SDio) in Tokyo, joining programs like AWS GAIA 2025, METI's GENIAC and NVIDIA Inception along the way.

InfiniMind launched its first product, TV Pulse, in Japan in April 2025: it analyzes broadcast TV in real time so media and retail companies can track product exposure, brand presence, sentiment and PR impact. After pilots with major broadcasters and agencies it signed paying customers among wholesalers and media companies, and DeepTech reported the platform had analyzed more than 100,000 hours of content. In February 2026 the startup announced a $5.8M seed round led by UTEC, with CX2, Headline Asia, Chiba Dojo and an a16z Scout-linked AI researcher participating; it said it would relocate its headquarters to the US while keeping its Tokyo engineering office, hire more engineers, and ship its flagship DeepFrame — long-form video intelligence over up to 200 hours of footage, with audio and speech understanding — in beta in March 2026 and full release in April 2026.

The supply of unanalyzed video already exists in every archive and camera feed, so the unlock is analysis cost and capability, not new data capture.

The 2021–2023 vision-language model jump is what made founding in 2024 rational — the same pitch would not have worked two years earlier.

Enterprise constraints — privacy, data sovereignty, no-code workflows, long-form queries — are a moat against general-purpose video APIs aimed at consumers and prosumers.

Japan's broadcasters and agencies made a compact testbed where demanding customers could validate the technology before a US push.

Cost control through adaptive sampling and hybrid indexing targets the per-minute economics that keep long-form video analysis out of reach today.

Founding should wait for the capability curve: video AI only tagged objects for years, so Kai waited until vision-language models could follow narrative — timing made 2024 credible to UTEC.

As of 2026-09-02 InfiniMind is live and seed-funded: TV Pulse has paying Japanese media and wholesale customers and 100,000+ hours analyzed, and the $5.8M round funds DeepFrame development, hires and the US HQ move. DeepFrame's beta was slated for March 2026 and full release for April 2026; no later milestone was verified for this entry. With 10+ Tokyo employees and University of Tokyo collaborators, it argues that long-form, causal, multimodal understanding — not clip-level tagging — is the defensible enterprise niche.