Predictive Maintenance

Automate work orders based on run-time or motor behavior changes with our advanced algorithms. Detect issues proactively and avoid unnecessary expenses before equipment fails.

Key Benefits

AI-Powered Detection

Advanced algorithms continuously learn and analyze equipment behavior to detect early signs of failure before they occur.

Prevent Downtime

Eliminate unplanned outages by acting on early warnings—reducing maintenance costs and keeping operations running smoothly.

Extend Asset Lifespan

Proactive, data-driven maintenance increases reliability and extends the life of your critical systems.

Features

AI-powered anomaly detection and trend analysis
Automated SMS and voice notifications for critical alerts
Automatic work order creation from detected conditions
Equipment health scoring and predictive insights
Run-time and condition-based maintenance scheduling
Sensor-based monitoring (vibration, temperature, power, flow, etc.)
Performance degradation alerts and thresholds
Historical maintenance and alert tracking

How It Works

01

Continuous Monitoring

IoT and BMS-connected sensors continuously capture data from equipment—such as vibration, temperature, flow, and power usage—for complete asset visibility.

02

Anomaly Detection

Machine learning models establish normal operating patterns and flag deviations across any sensor type that indicate potential failure.

03

Automated Response

When anomalies are detected, the system instantly sends alerts via SMS, voice, or email—and generates detailed work orders automatically.

04

Proactive Maintenance

Your team receives actionable diagnostics and recommendations, allowing issues to be resolved before they cause downtime.

Prevent Equipment Failures Before They Happen

Discover how predictive maintenance can save you money and eliminate unexpected downtime.

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