Machine execution
Solutions
Make your machines Physical AI ready
PUDA gives teams the runtime layer that makes physical systems agent-ready: execute typed machine actions, preserve the data trail, prove where results came from, analyze outcomes, and close the loop into the next physical action.
Use cases
The Physical AI lifecycle in one system
Data trails
Capture every action, measurement, and decision
Keep the agent conversation, requested tools, machine commands, run state, raw outputs, and derived files aligned in one inspectable trail.Closed loop
Turn analysis into the next action
Feed provenance-backed results into analysis and planning so the next protocol, task, or control decision is grounded in what actually happened.Applications
Use cases for Physical AI teams
Robotic workcells
Coordinate arms, grippers, sensors, and inspection tools while preserving the full command and measurement history.
Autonomous test systems
Run test stands, characterization equipment, and validation rigs with repeatable protocols and traceable outputs.
Industrial pilots
Connect AI planning to machines on pilot lines where every action needs operator review, limits, and evidence.
Field operations
Operate distributed physical assets through edge clients while keeping connectivity gaps, approvals, and data capture visible.
Closed-loop optimization
Analyze run results and feed verified outcomes into the next action without losing provenance between iterations.
Human-in-the-loop control
Let agents propose actions while people approve critical steps and audit what happened afterward.
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