Origin Physical AI
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Turn floor work orders into verified robot action.

Origin is a robot-agnostic physical-AI autonomy layer for real facilities. It observes live floor context, plans safe task steps, executes through AMRs / humanoids / ROS 2 stacks, and verifies completion with operator-grade telemetry and a replayable audit log.

Work orderOrigin · Observe · Plan · Act · VerifyRobot stackVerified + audit log

What Origin is

The autonomy layer between work orders and robot action — turning operator intent and floor reality into safe, evidence-backed, verified robot work.

First wedge

High-mix fulfillment floors, where layouts, work orders, and edge cases change constantly and scripted automation breaks. Manufacturing and facilities are expansion candidates — not yet claimed.

Core loop

ObservePlanActVerify

Re-runs whenever the floor changes; escalates to a human instead of guessing.

Pilot scorecard

  • Task success rate · human intervention rate
  • Safety exceptions · verified completions
  • Uptime · cost per task
  • Each with baseline, target, evidence source, owner, and an expand / hold / stop decision gate

Values are [measured during supervised pilot] — no fabricated numbers.

Safety controls

  • Human override · no-go zones · confidence thresholds
  • Task review · exception handling · escalation
  • Evidence-backed, policy-bounded verification
  • Replayable audit log for every decision

Integration needs

  • WMS / work-order systems · ROS 2 stacks · fleet managers
  • AMRs / humanoids · robot telemetry · site maps & zones
  • Safety policy config · audit-log / event streams

Deployment requirements — scoped per site, not universal compatibility.

Not ready for a pilot if

  • No robot telemetry
  • No work-order source
  • No configurable safety boundaries
  • No operator to own supervision

We say so honestly rather than force a fit.

Founded by Bo-Huei Lin. Origin is in private pilot — customer proof, metrics, and team/advisor details are published only when verified and permissioned.