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Deepgrip

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(2)5.0/5

Deepgrip is a video intelligence platform built by Dootlabs Private Limited, founded in 2026 and headquartered in Hyderabad, India. It turns large video archives into searchable, citable, and monetisable intelligence — making decades of footage retrievable in seconds. The platform automatically transcribes, extracts entities, reads on-screen text, and reranks results with multimodal AI. Users search across thousands of hours by natural-language query, speaker, scoreboard event, scripture, or any custom entity. The Compile feature generates query-based highlight reels — a search like "every Bumrah wicket in Australia" returns a stitched, watchable cut in under two minutes. Coverage spans 23 Indian languages alongside English. Broadcasters, sports rightsholders, faith organisations, universities, podcasters, and publishers use Deepgrip to unlock the value trapped in their back-catalogues — monetising archives, accelerating editorial workflows, and replacing manual logging with retrieval that takes seconds instead of weeks. By treating video as structured, searchable data rather than opaque media, Deepgrip turns archives from cost centres into recurring revenue. Under the hood, Deepgrip runs a six-layer retrieval pipeline — automated speech-to-text, named-entity extraction, vision-based scene understanding, semantic embedding, BM25 keyword indexing, and a final LLM rerank — to ground every search result in identity rather than keywords alone. A REST API lets technical teams pull search, retrieve clips, and trigger compiles from any system, while non-technical users work entirely through the web app. Deepgrip ingests from local upload, network-attached storage, and S3-compatible buckets.

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