§ Deployment infrastructure for physical AI

Every robot fleet will need a control room.

Robot foundation models work in labs and break in production. As deployments scale, failures multiply. Teams need a way to see what broke, understand why, and ship a fix without taking the fleet down. Nothing today bundles that workflow into one product. Advaitic does.

real-time telemetry failure detection interpretability root causes model patching canary releases versioning & rollback

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The Advaitic platform mid-loop: failure detected on picker-04, observability panel showing the mujoco rollout, fleet roster on the right with the failing robot in red. — FIG 01 The platform mid-loop. A failure detected on *picker-04*, isolated, queued for patch. Without paging anyone.