The intervention record

Your fleet needs you less every week.

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The problem

Every rescue teaches somebody, and it is never the robot.

A robot stops. Someone walks over, sees what went wrong, fixes it in under a minute and gets on with their shift. The knowledge leaves with them. Next week the same thing stops the same robot, and the fleet has learned nothing.

4,184rescues last year
38causes behind them
Illustrative fleet figures
How it works

We keep the record the shift cannot.

YOUR FLEET · 4,184 RESCUES A YEAR THE RECORD 01 CAPTURE log the intervention while the operator is still in it 02 EXPLAIN 4,184 rescues resolve into 38 ranked causes 03 CORRECT the fix returns to your own robotics stack 04 MEASURE autonomy 81.6% to 94.2% the cause stops returning POLICY PARAMETERS TRAINING DATA
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01 Capture
The moment it happens

Sensor state, video and what the operator actually did, logged in the 38 seconds they are already standing there. No ticket, no write up later.

02 Explain
Causes, not incidents

Thousands of rescues collapse into a few dozen causes, ranked by the human hours each one costs you. You fix the list, not the queue.

03 Correct
Back into the fleet

Fixes, policy changes and training data go to the stack you already run. The same cause stops coming back, and the number falls.

94.2% of runs finishing without a person.
The target we set with every design partner, from wherever you start.
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