DATORICThe world's best models
need the right data.
Data for the next generation of physical AI. Licensed, ethically sourced, and built to move frontier systems from research to reality.
Backed by
Y Combinator
Mission
Defining Intelligence for Physical AI.
Datoric's mission is to establish the foundational data layer for AI in the physical world. Through continuous research, we discover new collection methodologies that close the gap between data and downstream model failure.
Modalities
Choose an existing dataset or plan a collection.
Egocentric
Egocentric video of household and workplace tasks, with task, action, and object labels.
View egocentric dataUMI
Bimanual UMI demonstrations with left and right gripper views, end-effector poses, and gripper width.
View UMI dataTeleoperation
Synchronized video, states, actions, and robot and sensor configuration, collected on a specified platform.
View teleoperation details
From model failure to a validated method.
Datoric finds the data reasons behind a failure case or capability target, then runs controlled experiments across video, motion, and tactile modalities. Internal systems estimate treatment effects and downstream evaluation tests whether an intervention transfers before the method is specified for production.
- 01Research question
- 02Collection experiments
- 03Model evaluation
- 04Validated methods
