Platform
AI & Analytics
Five layers of intelligence — from physics-based equipment models to multi-algorithm anomaly detection to automated work order generation. Each layer feeds the next. All running on the edge.
Intelligence Pipeline
Sensor data flows through physics models, anomaly detection, predictive algorithms, and into your maintenance workflow — automatically.
Anomaly Detection
Multi-algorithm consensus engine that catches equipment issues 2-8 hours before traditional threshold alarms. Five algorithms running in parallel to minimize false positives.
Physics-Based Analytics
First-principles physics models that calculate real-time efficiency, operating point deviation, cavitation risk, and thermal performance from raw sensor data.
Predictive Maintenance
Machine learning models that predict remaining useful life, detect degradation trends, and recommend optimal maintenance windows based on actual equipment condition.
Automated Work Orders
When physics or ML models detect an actionable condition, a work order is auto-created in Operations Intelligence with diagnosis, recommended action, and parts list — no manual entry.
Energy Optimization
Continuous energy waste detection across pumps, compressors, chillers, and AHUs. Identifies off-BEP operation, fouling losses, and scheduling inefficiencies in real time.
Online Condition Assessment
Telemetry-driven condition scoring eliminates 73% of scheduled inspections. Physical visits only when sensors can't assess — targeted, specific, and justified by data.
Digital Twin Engine
Compose these analytics into process-level digital twins. Wire models into a directed graph and run what-if scenarios on the entire system.
Why TwinEdge Analytics?
Most platforms give you dashboards. We give you answers — with the physics to back them up.
Physics First, ML Second
Physics models explain why something is happening (12% off BEP, fouled heat exchanger). ML models predict when it will get worse. Together they eliminate both false positives and blind spots.
Edge-Powered Intelligence
All analytics run on the edge for sub-second response. No round-trip to the cloud. No dependency on internet connectivity. The cloud aggregates fleet-wide patterns — but the edge acts.
Closed-Loop to Ops Intel
Analytics don't just generate dashboards. They generate work orders with diagnosis, severity, recommended action, and parts list. The gap between detection and action is eliminated.
Transparent, Not Black-Box
Every anomaly score, prediction, and recommendation traces back to specific sensor readings and physics equations. Your engineers can verify and trust the outputs.
Intelligence That Acts, Not Just Alerts
From sensor to work order in one pipeline. Physics-based, edge-powered, operations-connected — no manual steps in between.