// cases

Case studies and scale

How AI labs, robotics companies and world-model teams use Claru data to train intelligent physical systems.

Explore our datasets.

Egocentric

First-person household tasks

Cooking, tidying, folding and cleaning — full trajectories with action labels.

Manipulation

Industrial pick-and-place

Real factory floors, with hand pose, object and task outcome.

Teleoperation

Teleoperated robot arms

Synchronized demonstrations for behavior cloning and VLA.

More than video.

01

First-person egocentric video

For embodied AI agents, captured in residential and commercial environments worldwide.

02

Teleoperation and fine manipulation

Robot training for pick-and-place, logistics and structured navigation, with synchronized trajectories.

03

Urban navigation at scale

Scene understanding with pose, action and behavior in real streets and suburban environments.

Tell us what you're training.

We scope the dataset and put the right data inside your timeline.

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