First-person by design
Egocentric footage keeps the camera close to the hands, tools, surfaces, and decisions that make physical work legible.
Data that gives physical AI
something to see.
Proprietary industrial video for frontier teams building physical intelligence. Recorded from inside the work.
Request a diligence brief ↗Building the visual prior
for physical AI.
We represent a grounded visual layer for physical AI: real-world industrial signal that gives models the settings, objects, motion, and consequences of work as it happens.
Real work, not simulation
Continuous industrial context carries the cadence, clutter, variation, and edge cases that synthetic environments tend to smooth away.
Rights before release
Chain of title, participant consent, facility permission, and provenance stay in the diligence conversation from the start.
Data that makes a difference
Before behaviour can be tuned, the world has to be there.
Physical intelligence needs a visual vocabulary before action can be understood. Our archive gives models grounded exposure to settings, objects, motion, and consequences as they occur in the real world.
This archive is offered as a focused starting point for teams working on robotics, embodied intelligence, and physical-world models.
proprietary · on-site · reviewable under NDAA rare view of work, recorded from the worker’s point of view.
A proprietary collection spanning textile, metal manufacturing, and agriculture. The numbers below are represented by the rights holder and confirmed during evaluation.
Domain split · hours
Every stat carries its diligence boundary; full details remain gated behind NDA.
Textile20,000as represented by rights holder
Metal manufacturing3,000subject to evaluation
Agriculture1,000subject to evaluation
Rights and compliance framework
- Chain of title
- Participant consent
- Facility permission
- Provenance
- Privacy engineering
- Responsible-use terms
How we work
A measured path from interest to access.
A focused process for technical buyers evaluating whether rare data is useful, defensible, and ready for a training conversation.
- 01
Scope the signal
Share the physical capabilities, environments, or model gaps that matter to your pre-training work.
- 02
Inspect the rights
Review the available chain of title, consent, facility permission, provenance, and privacy framework under NDA.
- 03
Agree the handoff
Define the appropriate sample, access boundary, and next step for your pipeline without opening the full manifest publicly.