Charger Intelligence
Fault analytics and health scoring on top of any CMS. Uptime, session-success reporting, and open research into failure prediction.
01
Predictive Maintenance
Machine learning models analyze charger telemetry data to predict component failures days or weeks in advance, enabling proactive servicing.
- Anomaly detection on voltage, current, and temperature patterns
- Remaining useful life estimation for critical components
- Automated maintenance ticket generation and scheduling
- Continuous model improvement with fleet-wide learning
02
Vehicle Battery Profile as a Service
Builds charging profiles for individual vehicles over time, correlating charging behaviour with battery health indicators to offer battery-as-a-service insights.
- Per-vehicle charging curve analysis and battery health scoring
- Degradation trend detection from charge session data
- Fleet-level battery health benchmarking and reporting
- API-ready data for OEMs, fleet operators, and insurance providers
Want to know more?
Talk to our engineers about how this technology fits your deployment.