Find the moment the run went wrong.
Vivu indexes the operational video your fleet already records, so anyone can pull the exact seconds of an incident by describing it — instead of having to know the unit, the run and the timestamp first.
Bring your own recordings. We run your searches live.
You know it happened. You don't know where it is.
Telemetry tells you that something happened. Only the video tells you what happened. But before anyone can watch it, they have to work out which unit, which run, and roughly when — and then scrub a timeline until the seconds show up.
As fleet hours grow, the cost of every reconstruction grows with them. Reviews get shorter than they should be, or they get skipped, or the same event is worked through twice by two people who never learn of each other. And when the operator who knew which recordings mattered moves on, the judgement built up over hundreds of reviews leaves with them.
Search your recorded operations in plain language
Vivu is an AI search layer for the operational video you already record. Point it at the recordings where they sit: it indexes them as they are, without a re-encode and without anyone reorganising the archive first.
It reads the objects and actions in the frame, what was said, and the text shown on screen. Ask for an event the way you would describe it to a colleague, and it returns the exact seconds — with the timecode and the recording each one came from.
Evidence instead of scrubbing
Describe what happened and get candidate moments back, each carrying the recording it came from and its timecode. The review starts from the event rather than from a file name.
The review outlives the reviewer
The index belongs to the team. When the person who knew which recordings mattered moves on, the ability to find things in the archive stays behind.
One incident becomes a pattern
The same kind of moment can be pulled across separate incidents, so a single reconstruction turns into material for QA and for training remote operators.
It stays out of the safety path
Vivu reads recordings that are already stored. It is not in the live control loop, it makes no driving or safety judgement, and the conclusion is drawn by your reviewers.
Where Vivu fits in an incident review
When an incident is flagged, the review starts from what happened rather than from a file name. Describe the event and candidate moments come back. Watch the seconds that matter, with the source recording and the timecode beside them. Then the same evidence feeds QA and training, instead of being watched once and closed.
- Incident triggered
Start from what happened
Not from a unit number, a run ID and a guess at the time.
- Narrowing the window
Describe the event, get candidates
Plain language in; candidate moments out, each with its timecode.
- Reconstructing it
Watch the seconds that matter
The source recording and the timecode travel with every moment.
- Closing the loop
The evidence gets reused
The same moments feed QA and training instead of being watched once.
Does Vivu touch our real-time or teleoperation stack?
No. Vivu reads operational video after it has been recorded and stored. It sits outside the live control path, and nothing in a review session reaches a robot.
Does Vivu decide what went wrong?
No. Vivu returns candidate moments with their timecodes and source recording. Reading them and deciding what happened stays with your operations and safety reviewers.
Do we have to re-encode or reorganise our recordings?
No. Recordings stay where they are, in the structure you already use. The index sits on top of them and points back at the original file and timecode.
Further reading
All pagesTry it, or bring us the recordings.
Run Vivu on one video yourself, or talk to us about the operational archive.
A demo is 30 minutes, on your footage. Contact Sales takes three fields and hands you the calendar.