Lazy Dynamics

Adaptation infrastructure for physical AI

Physical AI that adapts

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The problem

The world changesafter deployment.

Training cannot cover every real-world condition.

Every new condition becomes another engineering task.

Collect dataAdjust modelsRedeploy

When operating conditions change

Robot arms

The arm reaches the cup.

Drones

The drone tracks its position.

Wearables

Audio settings match the bar.

LazyInfer

Adapt whilethe system is running.

LazyInfer updates estimates, model parameters and plans as conditions change.

Runs on the device, alongside the customer’s existing models and controllers.

When conditions change

Robot arms

Cup moves · original path misses

Drones

Flight conditions change · estimates drift

Wearables

Bar to wind · old audio settings

model performancetime →
demo baselineconditions change

Illustrative adaptation

LazyInfer

Bring physical AI from demo to production.

Tell us about your hardware and stack.
We will walk through how LazyInfer fits in.

Discuss an integration