OneVid Lake
OneVid Lake watches every stream once and compiles what happened into a verified memory. The footage is retired only after the memory is proven to answer as the footage would.
Illustration. Recall, invented answers and footage kept are the figures from our certified run on MEVA, a public multi-camera benchmark (28 Sep 2026). The training step shows the workflow; we have not yet measured label quality for robot training.
written by one 1080p camera every day. A hundred cameras write 2 TB, kept just in case and almost never watched.
With today's video AI, every hour you keep costs four things that grow with the archive.
The archive grows every day, whether anyone looks at it or not.
Every investigation, model and agent pays to watch the same hours again.
One hour of video is up to 4.3 million tokens. No model holds a day in one call.
A model works through every hour in scope before it answers, and the answer still can't be audited.
AI watches each stream once at ingest and writes down events, entities and observations, each linked to its keyframe, crop or clip.
Chat, API, alerts and AI agents get answers from those records with citations. No vision model runs at question time. A missing detail is looked up once and written back.
An independent verifier proves the memory alone still answers what the footage would, then signs a certificate. Only then is footage retired. Unsure means keep.
OneVid Lake follows people and vehicles across your cameras into a single record of what happened. Your robots, apps, analysts and models all read that one memory instead of re-watching video.
Illustration of a single site. Names, times and cameras are examples.
Everyone else pays again on every question.
Every answer links to the evidence. When nothing matches, it says so instead of guessing.
Turns GDPR's "no longer necessary" into a feature, with a signed record of what was kept.
Runs on your premises or air-gapped. No footage leaves the site.
Certified run on MEVA, a public multi-camera benchmark, 28 Sep 2026; 8,442 automated tests pass. Ingest costs $0.50 to $1.00 per video-hour, paid once. Comparison prices are public list prices of Gemini, GPT, Claude and Twelve Labs, read 19 Oct 2026. Per-question cost and answer time are design targets until the head-to-head benchmark measures them.
Evidence-linked events and clips become labelled training data, without re-watching archives.
A shared memory of the physical world, queried instead of replayed.
Evidence chains that survive deletion.
Mission video that never leaves the site, with custody and certified deletion.
Arrivals, dwell time, claims settled in minutes.
Flows across hundreds of cameras, where storage is the main cost.
Safety events, and what changed since last month.
Decades of footage, searchable as facts.
Give us one site's cameras or one archive. Ask questions in a chat and see the answers with evidence, and the storage you could retire.
Become a design partnerCamera and video-management vendors, cloud and GPU providers, AI agent and robotics platforms, and model labs that need training data.
Talk to us about partnering