Builds, customizes and deploys physical AI agents using sensor data, with cloud, on-premises and edge deployment options.

A visual environment helps teams prototype and test physical agents using their own sensor data and operational workflows.

Interprets continuous sensor streams to identify machine operating regimes and the conditions that affect performance.

A physical world model combines sensor signals, video and language to interpret system behavior and explain operational conditions.

A multimodal model interprets, transforms and generates time-series sensor signals through natural-language instructions.

Learns normal operational behavior and flags emerging changes or previously unknown failure patterns across sensor data.