Detects unusual patterns in sensor data that deviate from normal behavior.
- 100KModel Size (ROM)
- >40Verified Tasks
- >97%Accuracy
- <2secTraining (Registration) time
Our Edge
Foundation model for industrial time-series anomaly detection
Adapts to 40+ equipment types without retraining—motors, pumps, sensors, and more
Unsupervised learning outperforms rule-based and DSP approaches
<2 second registration time for new use cases
Award-winning: Best of Sensors, Sensors Converge 2023