Industry · Oil & Gas
Remote assets. High consequence. Signals your static thresholds cannot follow.
Offshore and remote assets operate under continuously shifting conditions: load cycles, operating states, seasonal variation, and equipment age. Static thresholds set for one state cannot follow these dynamics. Eyer learns the fingerprint of each operating state separately.
How Eyer applies to oil and gas
Adaptive fingerprint learning for complex, remote operations.
Eyer handles any time-series data: OT systems, remote IoT sensors, or IT infrastructure. Data from complex assets reaches Eyer via Telegraf, Prometheus, or a direct push. No new sensors. Eyer learns the operational fingerprint of each asset, identifies correlated signal dependencies, and surfaces anomalies before they escalate.