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What is Eyer Ai?

Eyer is an AI-driven anomaly detection platform designed for IT operations, manufacturing, aquaculture, and integration environments. Built to reduce alert noise and provide actionable insights, Eyer learns the normal behavior of your systems and detects deviations by correlating signals across your entire technology stack. Developed to eliminate the need for data scientists, it automatically builds and maintains baselines, delivering context-rich alerts with root cause analysis. Eyer fits workflows where teams face overwhelming alert volumes and need precise, timely notifications to prevent downtime or operational failures. Its core capabilities include autonomous anomaly detection, signal correlation, and multi-domain applicability across IT, OT, and integration systems. Eyer is ideal for organizations seeking to improve operational reliability and efficiency without complex manual configuration.

AI Tool Review Summary

Performance Score

4.7/5

Content/Output Quality

Accurate, context-rich, and actionable

Interface

Intuitive with seamless data integration

AI Technology
LLMNLPAnomaly DetectionTime Series Analysis
Purpose of Tool

To autonomously detect and correlate operational anomalies, reducing alert noise and providing actionable root cause insights.

Compatibility

Compatible with existing IT, OT, and integration data sources, supporting Slack, SMS, and webhook alert routing for easy workflow integration.

Pricing

Proof of value with custom pricing after a free historical data analysis trial

Features

Features with the highest value for users are highlighted here.

Autonomous baseline learning

Cross-stack signal correlation

Context-rich root cause alerts

No data scientist required

Rapid deployment under one week

Integration with existing data sources

Continuous baseline updates

Proof-of-value historical data analysis

How It Works

1

Connect Data Sources

Integrate your existing IT, OT, and business KPIs data without migration or replacement.

2

AI Baseline Mapping

Eyer automatically learns normal behavior across all connected metrics and continuously updates baselines.

3

Anomaly Detection and Correlation

The AI correlates signals across your stack to identify meaningful anomalies and reduce false alerts.

4

Receive Actionable Alerts

Get context-rich alerts with root cause direction delivered via Slack, SMS, or webhook for timely response.

Who Is It For?

IT Operations Teams

DevOps Engineers

Manufacturing Managers

Site Reliability Engineers

Integration Specialists

Aquaculture Operators

Small to Medium Enterprises

Enterprise IT Architects

Operations Analysts

Startups in AI and IoT

Pricing

Proof of Value

$0/free
  • Historical data anomaly analysis
  • Missed anomaly report
  • 30-minute findings call
Popular

Enterprise

Custom pricing/monthly
  • Full AI anomaly detection
  • Multi-domain support
  • Context-rich alerts
  • Root cause analysis
  • Integration with Slack, SMS, webhook

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Pros & Cons

Pros

  • Significantly reduces alert noise by up to 85%.
  • Delivers actionable alerts with root cause context.

Cons

  • May require initial historical data sharing for proof of value.
  • Focused primarily on time series and operational data environments.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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Analytics of Eyer for Boomi

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

10.54K

+13.7% vs prior month

Avg. visit duration

00:00:27

M 4 2026 snapshot

Pages / visit

1.72

M 4 2026 snapshot

Bounce rate

39.83%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

1.85K2.07K2.28K2.5K2.71KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 2.71K (Feb 1, 2026)Low week: 1.85K (Mar 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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