Datoric
Data for the next generation of physical AI, licensed and ethically sourced.
Datoric provides robotics training data for physical AI, covering egocentric video of household and workplace tasks with task, action, and object labels, bimanual UMI demonstrations with left and right gripper views, end-effector poses, and gripper width, and custom teleoperation datasets with synchronized video, states, actions, and robot and sensor configuration. The platform also runs research experiments across video, motion, and tactile modalities to identify data causes behind model failures and validate collection methods before production.
Datasets are distributed through request-based Hugging Face repository access, with production delivery channels agreed per engagement. Collection specifications define privacy review and redaction controls for footage of people, homes, and workplaces, and a published privacy notice documents how personal data is handled. Related processes cover data rights and provenance, quality methodology, and licensing terms.
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