Four machines.One dashboard.Zero surprises.

This simulates the kind of real-time equipment monitoring system we build for manufacturing plants, energy facilities and logistics operations — live sensor telemetry, automatic threshold-based anomaly detection, and an AI maintenance advisor that explains what to do about it.

How to read this demo: The four equipment feeds below are simulated telemetry (randomised readings with occasional injected anomalies) running entirely in your browser — not connected to real sensors. Threshold detection and the alert feed are live and real. The AI Maintenance Advisory is generated by AI when an anomaly is detected, reasoning over the actual reading and threshold. A production system would connect to real PLCs/sensors via MQTT or OPC-UA rather than a simulator.

Monitoring stopped

⚡

Standby Generator

Normal

°C engine temperature

💧

Cooling Water Pump

Normal

1.8

mm/s vibration

⚙️

Production Line Motor

Normal

12.5

A current draw

🛢️

Diesel Storage Tank

Normal

% fill level

Alert Feed

No alerts yet. Start monitoring to see live threshold detection in action.

✦ AI Maintenance Advisory

No anomalies detected yet — an advisory will appear here automatically when one is flagged.

Want This Connected to Real Sensors?

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Running real equipment?
Let's connect it for real.

This demo simulates the dashboard experience. A real deployment connects to your actual PLCs, sensors or SCADA systems via MQTT or OPC-UA. Book a free consultation to talk through your equipment and facility.

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Four machines.One dashboard.Zero surprises.

Running real equipment?Let's connect it for real.

See how this connects to other services.

Running real equipment?
Let's connect it for real.