Manufacturing
Edge IoT monitoring for a manufacturing plant
On-site sensor analytics that detect equipment issues on the edge before they become downtime.
-32%unplanned downtime
100sedge devices online
<5salert latency
The challenge
Sensors produced continuous telemetry, but analysis was slow, centralized and too late to prevent failures on the line.
The approach
We deployed an edge computing layer that runs anomaly detection locally, streams only meaningful signals to the cloud, and integrates with the plant's existing control systems.
The outcome
Unplanned downtime fell sharply, and the plant gained a live operational picture without needing to ship raw data off-site.
