Use consistent signal definitions and preparation for training history and live inputs.
NAZARE · ML & AI enablement
Feed live, precise signals into anomaly detection.
Process-specific ML needs precise data at the moment of inference. NAZARE prepares historical training data and live signals; NAVIS combines results with site knowledge to explain findings and plan responses.

What changes on the shop floor
ML & AI enablement
Manage model versions, deployments and predictions, and compare them with field outcomes.
ML model development and application are scoped separately for your process and objectives.
| Signal name | Current value | Interval | Status |
|---|---|---|---|
| Pressure | 7.8 MPa | 20 ms | Review |
| Oil temperature | 46.2 °C | 100 ms | Ready |
| Motor load | 62.4 % | 20 ms | Ready |
NAZARE → NAVIS
Combine equipment data with site knowledge to inform AI decisions.
NAZARE links equipment signals with expert criteria. NAVIS also considers production and quality records, plans a response and sends approved actions to equipment through NAZARE. Recorded outcomes inform the next decision.
Explore NAVIS reasoning & actionThe same data, ready for the next task.
Start together
Tell us what you want to improve first.
Tell us about your equipment, data and priorities to review a path from connection to operations.
