Ask in plain English, jump to the moment that answers it
The answer arrives with the timecodes it came from, and every one of them is a click away.
Detect and track, search your whole library in plain language, ask an agent across every clip, extract structured data, and generate reports — the intelligence was always in the video. We read it out.
We are not taking new accounts at the moment. Everything below is what the product does, and it still does it — existing accounts work as normal and you can sign in as usual. If you would use this, tell us what for; that is what decides whether it opens again.
Semantic search reads what's happening across every clip you've indexed — then an agent answers questions and cites the exact timecoded frames, wherever they live.
Ask a question and land on the answer. Read a hundred clips in one pass. Then set the whole thing to run on its own.
The answer arrives with the timecodes it came from, and every one of them is a click away.
Send the whole upload at once and read the findings side by side when it lands.
A workflow that runs to its own schedule, with every past run kept on the record.
Detection, retrieval, reasoning, and reporting run off the same understanding of your footage — so the breadth compounds instead of fragmenting into tools.
Objects, actions, and events detected and tracked with persistent IDs and timecodes.
Find the moment across every clip without knowing the file — described, not tagged.
Ask; it answers with cited, jump-to timecodes.
Findings → a branded PDF, ready to send.
Counts, dwell, throughput — as numbers you can chart.
Save the questions you always ask and run them on every new batch.
Upload, connect Drive, or point at a link. Batch as many clips as you like.
Every minute analyzed — objects, actions, events, with timecodes.
Embeddings make the whole library searchable in natural language.
Query or converse with the agent; it reasons across clips and cites frames.
Synthesize findings into a structured, exportable document.
When the read is done, synthesize it — an executive summary, findings anchored to timecodes, and the numbers, in a document your team will actually read.
A template is the set of questions you always ask, saved. Point it at next week’s footage and the same read comes back in the same shape — which is what makes two batches comparable.
Get one read right — the prompts, the depth, what the report should contain — and keep it instead of rebuilding it next time.
New clips, same template. Run it across a whole upload at once rather than clip by clip.
Same structure, same fields, same numbers in the same places — so this month can be laid next to last month and actually read.
We are building live monitoring now: connect a feed, write what you want watched in plain language, and get told when it happens. It is not something you can switch on yet — this is what it is being built to do, and an invitation to tell us what you would connect.
Whatever your site already streams — an IP camera, an NVR channel, a restream. We are building against the formats cameras emit rather than asking you to put a new box on the wall.
The same plain language you already search a library with — a sentence or two, the way you would brief someone on their first shift.
Nothing arrives while nothing happens. When something does, the alert says what it saw and when it saw it.
None of this is switched on yet. The page says what exists, what does not, and what we cannot promise about footage.
Everything detected becomes a number you can track — throughput, dwell, exceptions — trended over time.
The reads you get in the app, available over HTTP: list a library, run an analysis, poll the batch, search in plain language. Scoped keys, one shared credit balance, and an OpenAPI 3.1 spec.
A per-seat platform fee with a generous pooled credit bundle that refreshes every month — credits are spent by the minute of video, at the depth you pick: 1 credit a minute for a fast read, 5 a minute at standard depth. Heavy reads pay for the compute they use; everyone else stays flat.
None of this is currently for sale. We have stopped opening new accounts, so there is nothing to buy on this page — the prices are here because what you would have paid is the most useful thing you can tell us. Existing subscriptions are unaffected and nothing new is being charged.
Uploaded video is priced on seats because it ends. A camera does not: it runs until somebody stops it, so it will be charged separately from seats and it is not included in any plan. What it should cost depends almost entirely on how fast you need to know — checking a place every ten minutes and catching something that takes two seconds are very different jobs, and they are nowhere near the same cost. We would rather ask you than guess, so there is no number here until we have.
Five questions about your cameras. Nothing to buy, nothing to switch on, and no obligation — what you tell us is what decides how this gets priced and what gets built first.
All of that is built and it runs. What we do not know is whether enough people want it to keep carrying it, so we have stopped opening new accounts until we do. Tell us what you would point it at — one minute, three questions, and it is the only thing that decides this.
Register interest