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Natural-language search and AI compile for your video archive. Find any moment by speaker, topic, or phrase — then turn matches into a montage.

Website, pricing, platforms and company facts side by side.
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| Website | deepgrip.ai | codegres.org |
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| Company | Startup from India · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


Deepgrip is a video intelligence platform that turns long-form video archives into a searchable, instantly editable library. Type what you're looking for in plain English — a speaker name, a topic, a phrase, or a loose description of a moment — and Deepgrip returns the exact clip with...
No description of Codegres.org yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
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Overall verdict
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Walkthroughs and reviews on video.
Deepgrip Compile Video
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As answered by people managing Deepgrip and Codegres.org.
Deepgrip's answer
Most video tools index files, not moments. Deepgrip is built around frame-accurate retrieval — every spoken sentence, every speaker turn, every named entity becomes searchable. You type what you mean in plain English; Deepgrip returns the exact in/out points and can stitch them into a finished reel in one step.
Deepgrip's answer
Most alternatives are either video CMS (storage and players) or AI generators (create new clips from prompts). Deepgrip sits in between: it treats your existing archive as a searchable, editable knowledge base. The Compile feature turns a query into a polished highlight reel — title slate, brand outro, and clean cuts — without an editor in the loop.
Deepgrip's answer
Teams sitting on more video than they can manually navigate: broadcasters, sports rights holders, news organizations, education platforms, podcast networks, and spiritual or institutional archives. Anyone whose archive grows faster than their editorial team can.
Deepgrip's answer
Deepgrip started as Deeplens — an internal search tool the founding team built for their own video archive, frustrated by how much footage was effectively lost behind weak filenames and slow scrubbing. It grew into a full intelligence layer once speech-entity extraction and frame-accurate clipping became viable, and was renamed Deepgrip in 2026 as a B2B platform for any team with a video library.
Deepgrip's answer
Deepgrip runs on a cloud-native architecture with a proprietary video intelligence pipeline. It combines speech recognition, speaker identification, entity extraction, and visual understanding through a multi-stage retrieval system tuned for natural-language queries over long-form video archives.
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