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Eyer AI

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Business ToolsFreeFree tier
Inputs: api, fileOutputs: text, code
Type
Saas
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About Eyer AI

Eyer is an AI-powered anomaly detection and alert correlation platform designed for operational technology environments. It functions as a headless AIOps solution that learns normal behavior across IT metrics, OT sensors, and business KPIs without requiring data scientists or manual threshold configuration. The platform ingests data from existing stacks, builds autonomous baselines, and correlates signals across the entire stack before firing alerts, resulting in actionable, context-rich notifications with root cause direction. Deployments span IT operations, manufacturing, aquaculture, and integration platforms like Boomi.

Key Features

Autonomous baseline learning without manual thresholds
Cross-stack correlation of signals before alerting
Context-rich alerts with root cause direction and affected system chain
85% reduction in alert noise (based on available information)
No data scientists required for setup or maintenance
Supports IT operations, OT/manufacturing, aquaculture, and iPaaS environments
Can be tested on historical data before live integration

Pros & Cons

Pros
  • Significantly reduces alert noise (claim of 85%) with correlated, context-rich alerts
  • Requires no data scientists or manual tuning once deployed
  • Works across diverse domains (IT, manufacturing, aquaculture, integrations)
  • Fast deployment with ability to test on historical data before going live
  • Autonomous baseline updates adapt to environmental changes
Cons
  • Free tier availability and exact pricing are not confirmed on the website; should be verified
  • Output quality is dependent on the quality and completeness of input data
  • May not be suitable for non-operational or highly unstructured data types
  • Requires integration with existing monitoring and data sources; some setup effort needed
  • Effectiveness in new domains beyond those listed may vary and should be tested

Best For

Reducing alert fatigue in IT operations and DevOps teamsDetecting equipment drift and process deviation in manufacturingMonitoring integration health in Boomi iPaaS environmentsTracking operational drift and early mortality signals in aquacultureProviding early, actionable alerts to prevent downtime across operational stacks

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FAQ

What kind of data sources does Eyer support?
Based on the website, Eyer ingests data from existing IT metrics, OT sensors, and business KPIs. It connects via APIs and can work with historical data. Specific integrations should be verified with the product team.
Do I need data scientists to use Eyer?
The website claims that no data scientists are required. The platform is designed to be fully autonomous, building and maintaining baselines automatically. However, some technical familiarity with monitoring systems may still be helpful.
How long does it take to deploy Eyer?
According to the website, the process from data connection to actionable anomalies takes under a week. Day 1 involves connecting data sources, by week 1 the AI maps baselines, and by week 2 early alerts are available.
Can I try Eyer before committing?
The website mentions that they can run Eyer against your historical data and show you anomalies your current tools missed before a live integration. This appears to be a free evaluation, but exact terms should be confirmed.
Is Eyer suitable for small teams or only large enterprises?
The website does not specify team size limitations. Its autonomous nature and claim of no data scientists required suggest it could be used by teams of any size, but the complexity of the operational environment may affect suitability.
How does Eyer handle alerting?
Eyer routes alerts via Slack, SMS, or webhook. Alerts are described as context-rich with root cause direction and affected system chain mapped, reducing noise and providing actionable information.