The complete predictive operations pipeline. Data flows in, AI predicts failures, incidents are created, work orders are generated, materials are reserved — all without human intervention.
Every step is automated. Every step is auditable. Every step runs on your infrastructure.
SCADA and sensor data streams are ingested in real-time via OPC-UA, MQTT, Modbus, or REST API. Supports any OEM, any protocol.
Raw signals are normalized, validated, and enriched with asset metadata. Missing data is interpolated. Outliers are flagged.
On-premise AI models analyze patterns across all signals simultaneously. Anomalies are detected with confidence scores and root cause attribution.
When anomaly confidence exceeds threshold, an incident is automatically created with full context: affected asset, signal details, severity, and recommended action.
Incidents that meet criteria automatically generate work orders with the correct category, priority, assigned team, and checklist.
Based on the predicted failure mode, required parts are automatically reserved from inventory. If stock is low, purchase requests are triggered.
Outcomes feed back into the AI models. Confirmed predictions strengthen patterns. Dismissed alerts reduce false positives. The system gets smarter over time.
Whether incidents come from AI predictions, operator reports, or scheduled maintenance — NISHRAM handles them all through the same unified workflow.
Anomalies detected by NrgyAI Predictive Intelligence automatically flow through the full pipeline — from detection to work order with material reservation — in under 60 seconds.
Operators submit service requests through the self-service portal or mobile app. Requests are automatically classified, routed, and tracked through completion.
Calendar, meter, or condition-based schedules trigger work orders automatically with pre-defined checklists, assigned technicians, and reserved parts.
$1.7 trillion lost globally to unplanned downtime every year. NISHRAM gives you the intelligence to act before failures happen.
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