Brief from the failure
Bring the failing eval episodes. We turn them into a task and object spec and collect demonstrations that target exactly that behavior.
Robotics, on demand

Definition
On-demand robotics training data is human demonstration data collected when a robot policy needs it, scoped to the specific tasks, objects, or environments where it fails, and delivered labelled for imitation learning rather than bought as a fixed off-the-shelf dataset.
How it works
Bring the failing eval episodes. We turn them into a task and object spec and collect demonstrations that target exactly that behavior.
Action segments, grasp types, contact onsets, and 3D hand trajectories, not just a caption on a clip.
RLDS and LeRobot out of the box, with readable converter source so you can retarget the schema.
Re-brief after each eval. Top-ups run against the same accept criteria, so new demonstrations stay consistent with the old ones.
At a glance
Every collection runs through the same seven-stage end-to-end custom collection pipeline. End-to-end custom data collection is a managed service that takes an AI data need from problem to owned dataset in a single accountable pipeline.
FAQ
Tell us what your model is missing. We will quote reach, timeline, and price against a written spec, with a first validated batch in a median of 48 hours where coverage is deep.