Robot collateral

Your robots are checked against the covenants every frame, and you see the same screen we do

A lender usually learns a robot broke its operating terms at the claim. We learn it at the frame. The camera gives position, speed, grasp and release. The controller gives force, latency and the software version. Each covenant turns green or red as the robot works, and the lender sees the same evidence.

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End-effector speed
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Grip force
0.0N
Inference latency
0ms
Action confidence
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Covenants

Adherence
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Vision signals are measured from the published clip. Controller signals are simulated until the bridge is live. Figures are illustrative.

You see what we see

The same panel, the same frame, the same number. No surprise margin call, because the curve is visible to both sides before anyone acts on it.

Evidence, not inference

Every covenant names the signal it reads and where the signal comes from. A measurement from the camera is labelled live. A value we do not yet have is labelled simulated.

A breach shows its frame

A breach is flagged in the open, with the frame that caused it. You and the lender get the same notice.

The eight covenants on this policy

Each one is a term in the loan or policy document. Each one has a sensor behind it.

CovenantRuleRead from
C1End-effector speedAt most 1.5 m/s with no human presentCamera, live
C2Human exclusion zoneNo person inside the workcell during motionCamera, live
C3Workspace envelopeHands stay inside the filed geofenceCamera, live
C4PayloadAt most 2.0 kgController, simulated
C5Grip forceAt most 20 N on fragile classController, simulated
C6Release locationObject released only inside the binCamera, live
C7Policy version pinnedRunning model hash equals the filed hashController, simulated
C8Inference latencyAt most 50 msController, simulated

Pledge the fleet. Keep it working.

Send us the controller export from one robot and we will return an appraisal report and an indicative range.