Datoric

Source robotics training datasets and teleoperation demonstrations for physical AI models

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You can use Datoric to collect, evaluate, and source training data for physical AI and robotics systems. The service provides licensed egocentric video datasets covering everyday household and workplace activities, labeled with actions, tasks, and objects. You can also access bimanual Universal Manipulation Interface demonstrations that capture gripper poses, widths, and camera views. For specialized hardware setups, Datoric conducts custom teleoperation data collection runs with synchronized states, actions, and sensor feeds, helping your engineering team test interventions and resolve specific model failure modes.

What Datoric does

Collect synchronized teleoperation demonstration dataInspect egocentric video clips with action labelsRecord bimanual gripper poses and widthsEvaluate model performance across training interventionsExport robotic sensor and state telemetryRun controlled data collection experiments across modalitiesEgocentric video recordings with annotated tasks, actions, and objectsBimanual UMI demonstrations with left and right gripper viewsSynchronized teleoperation data capturing states, actions, and sensorsDocumented data provenance and ethical sourcing standardsControlled experiment design across video, motion, and tactile modalitiesEnd-effector pose tracking and precise gripper width measurementsDownstream model evaluation to test dataset interventions before production