Modular environments
Kitchens, workstations, or technical spaces — configured to your specification and matched to where the robot will actually operate.
PRECISE PHYSICAL ENVIRONMENTS FOR PHYSICAL AI DATA
Your spec.
A modular environment,
matched to where it runs.
We configure a modular capture environment to your specification — matched to where your robot will actually operate — and deliver it as reviewed training data. A new task is a re-fit, not a rebuild.
Build your first pilotThe real-world training infrastructure for Physical AI.A closer look
ONE OPERATION. YOUR SPECIFICATION.
Keep your team focused
on robot learning.
You define the task and the conditions your robot will face. We configure the environment, run the capture, and hand back data that fits.
TASK STATION / DETAILControlled production
Planned variations and repeatable batches, run by one operating lead accountable for the output.
Reviewed batches
Recordings, metadata, and the agreed checks. Clear issues and traceable versions make the next decision easier.
MODULAR BY DESIGN
Any task.
One familiar process.
New tasks and scenarios run on the same modular system, so each one starts quickly, follows a process you already know, and delivers data that meets your spec precisely.
01
Re-fit, not rebuild
Every environment is assembled from the same modular system. A new task, object set, or scenario reconfigures what exists instead of starting over.
02
Familiar every time
The same brief, protocol, and review format for every task — so the tenth request runs exactly like the first.
03
Precise to your spec
Each setup is matched to your deployment conditions and checked against the agreed specification before anything is delivered.
START SMALL. MAKE IT USEFUL.
One task.
A clear next step.
Define a sample batch, agree how it will be reviewed, and evaluate it in your workflow before scaling.
01
Agree
Task, variations, environment, sample size, and acceptance criteria.
02
Collect
A bounded sample, with the agreed checks and delivery format.
03
Decide
Review the data, delivery cost, and practical path to production.