Eyer

Eyer is an AI-powered operational monitoring platform that filters out the noise from your monitoring alerts. Instead of drowning in thousands of false alarms, your team gets a handful of context-rich alerts that actually matter. Eyer learns what normal looks like for your environment — across IT metrics, OT sensors, or business KPIs — and when something deviates, it correlates signals from every connected source before firing an alert. The result: you get a single, actionable alert with root cause direction and the affected system chain already mapped.

Getting started is refreshingly simple. You connect your existing data sources — no migration, no rip-and-replace. In about a week, Eyer's AI has mapped baselines for every metric, and those baselines update automatically as your environment changes. There are no thresholds to configure, no rules to write, and no data scientists required. Alerts route through Slack, SMS, or webhook, and each one includes the correlated upstream and downstream context so your team acts on cause, not symptom. If you want to test it first, Eyer will run against your historical data and show you anomalies your current tools missed — and if nothing meaningful turns up, they'll tell you honestly.

Eyer is built for operations teams that can't afford downtime or missing signals. It's already deployed across IT operations, manufacturing plants, Boomi integration environments, and aquaculture farms. The real value is in the proof-of-value model: share 3–12 months of historical data, get a findings call, and only move forward if the results are clear. No commitment, no pressure — just a focused tool for teams that need to stop chasing false alarms and start fixing real problems.