For Physical AI teams
What should your
model learn?
Define the skills, environments and data your model needs. We shape the collection around your research, training and evaluation goals.
Teaching robots
real work.
We turn skilled human work into structured training data for robotics teams.
Physical AI has
a data problem.
AI learned the digital world from the internet. Physical AI needs something different: demonstrations of people working in the real world.
Language AIDigital informationWords & images
Physical AIReal-world interactionActions & experience
That missing layer is what we build.
Humanity already
has the skills.
Every day, skilled people assemble, repair and build. Their judgement comes from real tools, materials and experience. That expertise is our starting point.
They can learn from us.
Real work,
made into robot training data.
We design pilot data collections around the skills robotics teams need, combining real-world capture, structured tasks and human review.
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Capture
We record skilled people performing real tasks, including tools, adjustments and recovery, with permissions agreed upfront.
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Structure
We connect demonstrations to actions, objects and outcomes, preserving the context that makes each example useful for robot learning.
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Review
Human and domain-expert review focuses on consistency, provenance and the robotics team’s data requirements.
Let’s build
physical intelligence.
For industry partners
Pass on what
your people know.
Turn specialist knowledge into lasting training material while shaping the data robots learn from. Scope, permissions and usage rights are agreed together.