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VideoDB is an applied research lab for visual intelligence. We build the data infrastructure for video that trains and deploys visual AI. We turn video into data you can use. We investigate where your model fails, find the data that fixes it, and bring scalable infrastructure and the expertise to go with it, so your team builds intelligence from video faster. Video primitives: in-house transcoding, frame tiling, a frame-addressable streaming engine, real-time ingestion and high-throughput pipelines. 100,000 hours turned into scene-level samples in two weeks, files left in place. Machine annotation: any model as an analyzer over every hour you have, at archive scale, with human QC through our partners. Episode retrieval: world-leading visual search over every episode. Moments and frames in 500 ms, deep search agents on top. Realtime ingestion: connect 1000s of cameras, streams and screens, analyze in real time, alerts with the clip attached. Connected to your robot data: MCAP, LeRobot and RLDS in. Manifests and loaders out. We publish benchmarks, build and test systems, and ship what holds up. Run in our cloud or yours. 10k+ developers on the platform. 250+ TB processed.

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Ashutosh Trivedi is the Founder and CEO of VideoDB.

14 people are employed at VideoDB.

VideoDB is based in San Francisco, California.

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