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Physical Systems

Edge-to-Cloud Predictive Maintenance Across 4 Sites

Key outcome

Zero unplanned downtime

PaaS + Managed

The Challenge

An industrial operator managing 200+ machines across 4 geographically distributed sites had no unified view of machine health. Maintenance was purely reactive, leading to costly unplanned shutdowns and logistics scrambles.

What We Built

We delivered a PaaS platform with lightweight edge agents on each machine feeding a cloud-side anomaly detection service. The system learns normal operating envelopes per machine type and flags degradation signals 2–3 weeks before failure — without requiring sensor retrofits.

The Result

Zero unplanned downtime in the 18 months post-deployment. Maintenance scheduling shifted fully to predictive, reducing maintenance cost by 34% and eliminating emergency logistics spend.

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