Eyer is an observability and AIOps system that uses AI to analyze time-series data and detect anomalies early. It connects to existing infrastructure via API and works with IT, OT, IoT data, and business metrics.
Early signals with less alert noise
Eyer focuses on surfacing only meaningful notifications. Its time-series anomaly model filters out noise and reduces the number of alerts while staying sensitive to critical events. This helps operations teams cut alert fatigue and respond to incidents faster.
Anomaly detection plus an LLM
Eyer combines its own anomaly detection engine with an LLM chosen by the user. Alerts can include added context, explanations, and suggested next steps, making incident triage and root-cause analysis more straightforward.
Built to scale across IT, industrial, and IoT
Eyer supports any time-series metrics and scales from classic IT observability to production lines and large IoT fleets. It also supports business KPIs, helping teams connect technical issues to real business impact.
