Your operation
People. Locations. Task expertise. Day-to-day coordination.
DATA INFRASTRUCTURE FOR PHYSICAL AI
Your access
to the world.
A system to
capture it.
Run a first-person video collection program with the people and places you already work with. Bring your network. We provide the capture, quality review, and data access workflow so your team can focus on the collection program.
You bring the
people and places.
Your team runs the collection program. We help configure the technical workflow for your pilot—from recording requirements through review to approved data access.
The system
Mobile capture. Project quality rules. Human review. Approved data access.
From real work to
a reviewable release.
Set the requirements before recording starts. Keep the evidence attached as data moves through the program.
- 01
Define the program
Agree on tasks, capture requirements, access, and acceptance criteria.
- 02
Capture the work
Guide first-person recording through a dedicated mobile workflow.
- 03
Review the evidence
Apply project quality rules and route submissions through human review.
- 04
Release approved data
Give authorized recipients access to approved video and its metadata, with a fixed record of the files included.
Know what
you’re working with.
See where a recording came from, which quality rules were applied, and how it was approved.
Capture context
Keep origin and recording settings linked to each submission.
Review history
Keep quality observations and review decisions connected to the recording.
Release boundaries
Control who can review recordings and who can receive approved data.
For teams with
access to real work.
Data operators
Build a collection program around the contributor and location relationships you already manage.
AI and robotics teams
Run your own collection program with a dedicated capture and review workflow.
Start with a defined task, a known environment, and clear acceptance criteria.
Make the next
collection program
concrete.
A useful pilot starts with five decisions. See how they come together in an illustrative kitchen-task plan, then build your own outline.
Explore a pilot exampleA filled planning example. Your own outline stays in your browser.
Use case
What should the data help a model learn or evaluate?
Tasks and places
Which activities and environments can your team access?
People and permissions
Who will coordinate participants and confirm recording permissions?
Acceptance criteria
What must a usable recording show?
Delivery requirements
Which files, metadata, and access method does your team need?