Real-world context
Record the task, surroundings, motion, and timing together.
Physical AI data infrastructure
The physical world.
Structured for robots.
We help robotics teams collect the real-world data their models miss.
Real work. Clear context. Permission first.
What Kinemor does
We turn real work into robot-learning data.
Made for the task
Start with the robot's behavior, then choose the hardware and format.
Careful review
Check quality, privacy, and context before anything is delivered.
How it works
A practical path from task to dataset.
Start with the robot task
Define what the robot needs to learn and where it will work.
Plan the capture
Choose the hardware, timing, metadata, and privacy rules.
Collect the data
Record the work in the real environment, with permission.
Review the samples
Remove sensitive details and check that the data is usable.
Deliver the dataset
Package the files, context, and review notes for your team.
Good data starts with trust.
Agree on the robot task first.
Get permission before capture.
Keep context with every sample.
Review everything before delivery.
Tell us what your robot needs to learn.
Share the task, environment, and data format you need. We usually reply within two business days.