AI-powered analytics that transform raw sensor data into actionable operational intelligence — predictive maintenance, anomaly detection, and lifecycle management.
ML models trained on African infrastructure patterns predict equipment failures before they happen — reducing unplanned downtime by up to 60%.
Continuous monitoring with statistical models that flag fuel theft, generator overload, and pump cavitation in real time.
Every asset receives a live health score based on operating conditions, runtime hours, and maintenance history.
Full audit trail from commissioning to decommissioning — maintenance logs, incident history, and replacement forecasting.