The world's most valuable operational knowledge lives in people's heads. We capture it, structure it, and ship it to the AI systems that need it most.
Critical knowledge lives only in people's heads. Can't be searched. Can't be shared. Can't be systematized.
Training takes months. Sometimes years. Expert-level performance doesn't replicate across teams, locations, or time zones.
When experienced workers retire or leave, decades of expertise walk out the door. Permanently.
Three steps. Observe how experts work. Encode what they know. Deploy it at scale. From observation to autonomy.
POV recording of real-world task execution. How experts actually work, decide, and adapt. Observed, not interrupted.
Raw expertise becomes structured AI decision trees. Formal. Executable. A machine-readable map of how experts think.
Encoded expertise ships through AI agents. Expert-level performance. Unlimited instances. Always on.
One core thesis: human expertise can be captured, structured, and scaled through AI. Designing the architecture for POV capture and decision tree encoding.
POV capture prototype goes live. Recording how experts actually work, decide, and adapt. Raw observation in. Structured decision trees out.
Encoded expertise ships as autonomous agents. Expert-level output. Unlimited instances. Scaling into manufacturing, logistics, field operations.
Same decision trees. New form factor. Encoded expertise moves into physical robotic systems. Machines that operate with human-level knowledge.
AI agents today.
Robotics tomorrow.
The same encoded expertise, moving from screens into the real world.