Industrial & Manufacturing

Watches 10,000+ devices and flags failures before they happen, in under 5 seconds.

Predictive Maintenance

Analyzes IoT telemetry in real time and alerts operators before equipment actually fails.

The problem

Unexpected equipment failures caused downtime. The warning signs were usually there for hours, sometimes days, before anyone saw them — a temperature drifting slightly out of range, a vibration pattern that wasn't quite normal.

The solution

The platform watches telemetry in real time and alerts operators to early signs of failure, before the equipment stops on its own. Alerts are tuned per device, so a normal fluctuation on one machine doesn't get treated the same as a warning sign on another.

Real-time anomaly detection

Per-device alert thresholds

Historical trend analysis

Failure pattern recognition

Maintenance scheduling integration

Device health dashboard

Results

10,000+

Devices monitored

500,000+/hour

Events processed

<5 sec

Alert latency

5+ years

Historical data retained

Considering something similar?

A scope call is the fastest way to find out whether this shape of build fits what you're dealing with.

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