Foundation models for the physical world.
Multimodal models that fuse temporal telemetry, spatial data, and operational context — trained on industrial sensor streams, not internet text. Purpose-built for perception, anomaly detection, and decision support in physical environments.
Modalities
Architecture
Three data streams. One model.
Temporal Telemetry
Time-series sensor data — vibration, temperature, pressure, current, voltage — with millisecond-level temporal resolution. The model learns equipment behavior patterns that precede failure.
Spatial Context
Camera, LiDAR, thermal, and radar inputs fused into a 3D understanding of the physical environment. BEVFusion perception pipeline with calibration daemon for multi-sensor alignment.
Operational Context
Work orders, shift schedules, production plans, maintenance history, and regulatory requirements. The model understands not just what is happening physically, but why and what should happen next.
AI that understands your operations.
Foundation models trained on industrial reality — sensor streams, equipment behavior, and operational context — not internet text.