Early warning for industrial operations
Your operation has a fingerprint.
Your time-series data is your operational fingerprint — the institutional knowledge embedded in how your operation actually behaves. Eyer is the only platform that reads it, learns from it, and acts on it before failure becomes visible.
Any time-series data — OT, IT, IoT
First findings within one week
No new sensors. No direct PLC access.
The status quo
Threshold alarms fire after failure. The window to act cheaply is already closed.
Industrial operations generate more data than ever. Existing monitoring systems were not built for it. They apply static rules to dynamic operations and alert after failure — not before it.
Alarm fatigue
Four alarms fire in sequence. Each is responded to separately. By the time the root cause is visible, the failure is in progress and the question is how much it will cost — not whether it will happen.
Baselines drift
Load conditions, seasons, batch compositions, and asset age all shift your normal. Static thresholds set six months ago do not adapt. Neither do the operators who rely on them.
Knowledge walks out
Your most experienced operators carry pattern recognition that no software has captured. When they retire, that institutional knowledge leaves. There is no transfer protocol for what they know.
How Eyer works
Early intelligence for industrial operations.
Eyer learns the behavioural fingerprint of your operation from its time-series data, detects anomalies before failure becomes visible, and delivers context-rich, actionable alerts — autonomously.
Autonomous Fingerprint Learning
The platform that knows your normal.
Three dynamic baselines per metric, built from your historical data. No manual thresholds. Self-adapting across load conditions, operating states, and asset age. Works on existing infrastructure — no new sensors required.
Cascade Intelligence
Root cause, not just symptoms.
Mathematical time-series correlation across your actual signal behaviour — not event grouping by timestamp. Eyer identifies which metrics are statistically dependent, then tells you what is primary and what is cascade, before the cascade is visible.
Early, Context-Rich Alerts
The right information before the window closes.
Not a number and a red flag. A decision-ready briefing: what is deviating, which signals correlate with it, what the likely cause is, and what is recommended. Delivered before any threshold is breached.
Agentic AI on Your Fingerprint
The intelligence layer your operation has never had.
Three layers read together: written knowledge (SOPs, P&IDs, incident reports) + your digital fingerprint (baselines) + live signal. Live MCP server. Customers are building maintenance scheduling agents, compliance reporting agents, and board briefing agents on top today.
Where Eyer works
The same fingerprint logic across every industrial operation.
Eyer adapts to the dynamics of your specific operation — not a generic baseline imposed from outside.
Aquaculture
Water chemistry shifts 2–3 hours before any operational impact. No alarm fires. Mortality begins.
See how Eyer applies →Manufacturing
Four alarms fire from one root cause. By the time the sequence is understood, the failure window is closed.
See how Eyer applies →Oil & Gas
Remote and offshore assets generate thousands of signals. Static thresholds cannot adapt to operational state.
See how Eyer applies →Energy
Ageing infrastructure, shifting load patterns, regulatory scrutiny. Anomalies that miss every threshold.
See how Eyer applies →Seen on real operations
The anomaly was there. No threshold ever breached.
A land-based salmon producer ran Eyer on historical water chemistry data. The anomaly pattern appeared 2–3 hours before any operational impact was visible. No threshold was ever breached.
Read the case study →A single pump system. What their alarm management logged as four separate events was one correlated failure sequence. The primary deviation appeared 5 hours and 25 minutes before impact — never triggering an alarm because no individual threshold was breached.
Read the case study →All cases anonymised. Results from running Eyer on historical customer data.
The Fast Forward
Start with your historical data. First findings within one week.
We run Eyer on your historical time-series data and deliver a POV report showing what your operation has been doing that your existing monitoring has never caught. No new sensors. No infrastructure changes. No integration project.
Data extract
A historian export is all it takes. We handle the rest.
Fingerprint analysis
Eyer learns baselines, maps correlations, and identifies deviations.
POV report
You receive a concrete report: what patterns appeared, what your monitoring missed, and what to do next.
Tell us about your operation