SOLUTION · ASSURANCE

A practical assurance layer for Physical AI

Physical AI systems need more than a good demo. They need evidence about where a policy, planner or platform will fail and what keeps it inside an admissible operating envelope.

Robotics guardrails

AIME product overview

Platform plus environment plus mission

AIME keeps the tested system, physical scene and mission assumptions connected so failure results are grounded in the experiment that produced them.

Simulation as a failure search surface

Use deterministic trials, Monte Carlo stress testing and telemetry review to find edge conditions that are difficult to cover through manual testing alone.

Guardrails with a verification loop

Propose constraints, compare guarded and unguarded runs, and export the evidence needed to explain the decision to engineering, safety and operations teams.