CONTEXT360
Field data infrastructure for the next leap in robotics.
We partner with operating companies and skilled teams to capture vision, action, context, correction, and outcomes while real work is being performed.
Scope a programOUR THESIS
The most valuable robotics data is still locked inside field work.
Public video, simulation, lab tasks, and staged demonstrations provide a foundation. They rarely capture skilled work under real site conditions: changing materials, tools, constraints, exceptions, corrections, and outcomes.
Context360 builds that missing layer with the businesses already doing the work, from manufacturing, construction, and industrial service to surgery, with clear provenance, appropriate rights, and structures made for robotics training.
HOW WE WORK
Capability-led. Provenance-first. Built for real use.
Every collection decision should increase the usefulness, defensibility, and intelligibility of the resulting data.
Start with the capability
Define the behavior, decision, or task the model needs to learn before specifying the collection.
Preserve the context
Capture the surrounding state, expert intent, decision logic, action, and outcome, not media alone.
Design provenance in
Treat source, permissions, rights, lineage, transformation, and QA as core parts of the data product.
Earn scale through quality
Validate the protocol with a pilot, then expand only after the technical and semantic standard is clear.