manufacturing

A global electrical infrastructure manufacturer deployed Eyer on US IT integration systems — bringing operational fingerprint learning and correlation intelligence to IT/OT convergence environments.

aquaculture

Water chemistry anomaly detected 2–3 hours before operational impact in a RAS system. No threshold fired during the detection window. The pattern was in the data all along.

manufacturing

Four alarm events over six hours were one correlated failure sequence. Eyer identified the primary deviation 5h 25min before operational impact. No threshold had been watching for the pattern.

manufacturing

A municipal software platform added operational intelligence to existing data infrastructure — early anomaly detection across water, waste, and energy assets without new sensors.

manufacturing

A frozen food manufacturer applied Eyer to cold chain and processing data — detecting quality-affecting process deviations before they reached specification limits. No new sensors required.

aquaculture

A marine ingredient processor applied Eyer to processing data, detecting stability deviations affecting yield and quality, with baselines that adapt to variable raw material profiles and production cycles.

aquaculture

An offshore aquaculture operator applied Eyer to water quality data — detecting early anomalies before fish health indicators became visible. Dynamic baselines adapt to offshore variability.