Senseye Predictive Maintenance
AI across the full maintenance journey
From reactive repair to prediction and optimization — AI makes equipment health visible in real time.
Overview
Senseye is Siemens' predictive maintenance AI solution, covering the full maintenance journey — from reactive repair and condition monitoring to prediction and optimization. It uses AI to analyze equipment data and spot early failure signs, shifting maintenance from "fix when broken" to "act before it fails", improving availability and lowering maintenance cost.
Positioning
Predictive maintenance AI solution
Coverage
Full maintenance lifecycle
Key value
From reactive repair to predictive optimization
Deployment
Cloud / edge
Typical industries
Discrete manufacturing, process, transportation
Key capabilities
Key capabilities
Condition monitoring
Real-time monitoring of equipment health.
Failure prediction
Spot early failure signs and reduce unplanned downtime.
Maintenance optimization
Maintain on demand, reducing over-maintenance.
AI insights
Automated analysis of vibration, temperature and other signals.
What it delivers
What it delivers
- Fewer unplanned stoppages and higher equipment availability
- Shift from reactive repair to proactive intervention
- Lower maintenance and spare-part cost
- Data-driven maintenance decisions
Modules & components
Modules & components
Data ingestionVibration / temperature / current signal intake.
AI diagnosticsAnomaly detection and root-cause analysis.
PredictionRemaining useful life and failure probability.
Operations integrationLink to maintenance workflows and work orders.
Typical applications
Typical applications
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