Deployed robots fail.

Today, the fix is manual. An engineer retrains the robot, re-validates it, ships the patch, and nothing stops the same failure from coming back next week.

We're building the system that makes robots learn from reality on their own. Automatic. Fleet-wide. No human in the loop.

Today, the fix is manual. An engineer retrains the robot, re-validates it, ships the patch, and nothing stops the same failure from coming back next week.

We're building the system that makes robots learn from reality on their own. Automatic. Fleet-wide. No human in the loop.

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The Science Doesn't Exist Yet

The Science Doesn't Exist Yet

Post-deployment adaptation is an unsolved research problem. There are no textbooks, no reference implementations, no proven playbook. Four problems sit underneath what we're building:

  1. Failure-conditioned retraining.

  2. Multi-policy composition.

  3. Multi-modal reconstruction.

  4. Fleet-wide regression guarantees.

The Loop Nobody Has Built

The Loop Nobody Has Built

Train. Deploy. Observe. Retrain. One closed loop that turns every field failure into a fleet-wide fix. The adaptation runs underneath your stack, without replacing it.

Square Hammer Labs

New York, NY

info@squarehammerlabs.com