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Scenario Mining
and Data Curation
for robot fleet data.

Describe a scenario once, and we scan your entire fleet history for it, curate training sets, and provide real-time notifications on live data.

Describe a failure. Find every one.

Our scenario mining system finds any scenario you describe across your fleet's video and telemetry, more accurately than frontier video models.

Accuracy (F1), all 10 scenarios · 6 shown below

Eventual
0.80
GPT-6 Astra
0.32
Gemini 3.8 Flash
0.14

robot fails to insert a part, sets it back down, then picks the same part up again for another try

31 instances in all 149 episodes (13.3 h)

Human-labeled
31
Eventual
28 found 8 wrong
GPT-6 Astra
14 found 45 wrong
Gemini 3.8 Flash
5 found 121 wrong
0 h13.3 h
Human-labeled
Eventual

Find it once. Watch for it and train on it.

Search

Describe any scenario to find matches over sequences of events from synchronized video and telemetry.

Refine the search or scan your entire history.

Mine

Watch for it automatically across live and historical data.

An alert within a minute, plus how often it happens.

Curate

Sample from your corpus into a dataset with a deliberate mix: diverse, deduplicated, versioned.

Bucket by scenario, robot, gripper force, or time of day.

Discuss your toughest scenario with us.

Discuss your toughest scenario with us.

Eventual — Scenario Mining for Robot Fleet Data