Eyer learns what normal looks like in your environment — and when something deviates, it correlates signals across your entire stack before alerting. Your team gets actionable, context-rich alerts with root cause direction — not raw noise. 85% fewer alerts. 10:1 ROI within 90 days.
Eyer deploys across IT, OT, and integration environments. Same AI engine — configured for the data and failure modes that matter in your context.
Eyer cuts alert noise by 85% and correlates signals across your stack — so when an alert fires, it arrives with root cause context and the affected system chain already mapped.
Eyer for IT OperationsEyer detects equipment drift and process deviation before failure — and when it alerts, the signal includes correlated upstream and downstream context so your team acts on cause, not symptom.
Eyer for ManufacturingEyer monitors Boomi integration health autonomously — detecting data flow anomalies and surfacing correlated, context-rich alerts before downstream systems are affected.
Eyer for BoomiEyer detects FCR drift, early mortality signals, and equipment deviation across your farm — correlating water quality, feed, and sensor data into actionable alerts before damage occurs.
Eyer for AquacultureNo data scientists. No threshold configuration. No rules to write. Eyer's AI builds and maintains your baselines automatically — across every metric you ingest.
IT metrics, OT sensors, business KPIs — no migration, no rip-and-replace. Eyer ingests from your existing stack.
Eyer's models learn normal behaviour across every connected metric. Baselines update continuously as your environment changes — no manual reconfiguration.
Eyer's correlation engine maps relationships across your metrics before alerting. Your team receives a single, context-rich alert with affected systems identified and root cause direction included — routed via Slack, SMS, or webhook.
Before committing to a live integration, we run Eyer against your historical data and show you the anomalies your current tools missed. If we find nothing meaningful, we tell you directly.
Run Eyer on your historical data →Before Eyer, we had virtually no insight into key workloads. Now we have deep, actionable insight and proactive alerting — we're meeting SLAs with confidence while delivering more with significantly reduced monitoring overhead.
The ability to easily understand the rippling effect from a disk operation issue on a local database to how it impacts customer experience in our retail stores is transformational.
Before committing to a live integration, we run Eyer against your historical data and show you the anomalies your current tools didn't catch — with timestamps, correlated signals, and operational context.
If we find nothing meaningful, we tell you directly. We only pursue live integrations where the proof of value is clear.
We respond within 2 business days. No commitment required.
