Deepgrip is the retrieval layer for video. For 30 years, search has been a text problem. We tokenized documents in the 1990s and built an entire economy on top. We never did the same for video — the highest-density medium has been treated like cold storage. Footage goes in. Almost nothing comes out. Deepgrip changes that. Type a sentence. Get the exact 8-second clip. Across every video you've ever uploaded — past, present, and incoming. No timestamps. No tape-scrubbing. Just the moment, with the speaker, the timestamp, and the exact words on screen. Built for media teams that move at deadline speed: - Sports broadcasters compiling highlights from 100+ matches a season - Newsrooms hunting a 2am quote across 18 months of coverage - Podcast networks indexing back catalogues across multiple shows - Enterprise teams turning all-hands and town-halls into a searchable knowledge base - Spiritual archives and educational publishers reactivating decades of footage Every spoken word, every face, every moment is indexed in real time. A language model sits on top, so a sentence becomes a query, and a query returns ranked, cited, exportable clips. Drag the result straight into your Premiere, DaVinci, FCP or Descript timeline. Or publish to LinkedIn, X, YouTube Shorts, and Instagram Reels in the same hour, brand chrome baked in. Customers retire MAM and DAM searches, manual tagging workflows, and ad-hoc librarian time on rollout. Median archive retrieval drops from days to minutes. We're building the retrieval layer for video. If you index it, you own it. Bring your hardest search query. We'll find it in seconds. → deepgrip.ai → Founder, Deepgrip