Eyer

Eyer is an AI-powered observability platform that easily integrates into your existing technology landscape through APIs

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Eyer is a highly flexible and automated AI-powered observability and AIOps platform that easily integrates into your existing technology landscape through APIs. Eyer automatically identifies abnormal behavior in real time from time series data customers ingest. Eyer is cloud hosted and headless.

Eyer is an AI-powered observability platform that learns the operational fingerprint from time-series data and alerts on anomalies before failures become visible.

for: Industrial operators and engineers managing OT, IT, and IoT time-series data.
pricing: contact sales

works withTelegraf (300+ plugins)Prometheus exportersHTTP push endpointOPC-UAModbus TCPMQTT / SparkplugSCADA historiansInfluxDB

Key features

5 features of Eyer

Autonomous Fingerprint Learning — Creates dynamic baselines from historical data without manual thresholds.
Cascade Intelligence — Correlates metrics to identify root-cause chains before they manifest.
Context-Rich Alerts — Delivers decision-ready briefings with deviation details, correlated signals and recommended actions.
Agentic AI Layer — Combines SOPs, baselines and live signals for custom agents like maintenance scheduling.
Broad Data Ingestion — Accepts OT/IT/IoT time-series via Telegraf, Prometheus, OPC-UA, Modbus, MQTT, historians and more.

Use cases

Detect water-chemistry anomalies in aquaculture hours before fish mortality
Identify correlated pump failures in manufacturing before impact
Monitor offshore oil-&-gas assets to catch drift-induced anomalies without new sensors

Eyer FAQ

How does Eyer ingest my existing data?+

You provide a historian export or connect via supported endpoints (Telegraf, Prometheus, OPC-UA, Modbus, MQTT, etc.) and Eyer processes the time-series without new sensors.

Do I need to change my infrastructure to use Eyer?+

No, Eyer is cloud-hosted and headless; it runs on historical data first and requires no infrastructure changes for the proof of value.

What kind of alerts does Eyer generate?+

Alerts include the deviating metric, correlated signals, likely cause and recommended action, delivered before any threshold is breached.

Can Eyer adapt to changing operating conditions?+

Yes, its dynamic baselines self-adapt across load conditions, operating states and asset age, eliminating static threshold drift.

Summarized by DevHunt from eyer.ai · Sep 28, 2026. Details may change; check the official site.