AI TOOL PROFILE
Eyer: AI Observability Platform
- Software Development
- Observability Platform
- DevOps and SRE teams
- Operations managers
- IT and OT environment managers
Pricing
Pricing is scoped to the specific deployment based on metrics, environments, and support needs. A 4-week free trial is available with no credit card required.
At a glance
- Best for
- DevOps and SRE teams, Operations managers, IT and OT environment managers
- Key use cases
- IT and Cloud Operations, Boomi Integration Monitoring, OT and Manufacturing, Aquaculture Monitoring
- Integrations
- Prometheus, Telegraf, InfluxDB, Boomi, REST APIs
- Official website
- Visit Eyer tools official website
How AI is used
Eyer is a headless AI anomaly detection platform designed for time series data. It is built for operations teams managing complex environments across IT, manufacturing (OT), and specialized sectors like aquaculture who need to identify signals within large volumes of monitoring data.
The platform works by autonomously learning normal behavior for every ingested metric, which supports the removal of manual threshold configuration or the need for data scientists to write rules. When a deviation occurs, its correlation engine maps relationships across systems to provide root cause direction.
Buyers should note that the tool is API-first and headless, meaning it is designed to integrate into existing technology landscapes. Potential users may test the platform by sharing historical data for a preliminary analysis before moving to a live trial.
Key Features
Autonomous Anomaly Detection
Learns normal behavior across time series metrics automatically without requiring manual threshold configuration.
Signal Correlation
Maps relationships between systems and metrics to identify upstream and downstream effects during an incident.
Root Cause Direction
Provides alerts that point toward the cause of an anomaly rather than just the symptom.
Headless API Integration
Connects to existing infrastructure via open APIs to ingest data without requiring proprietary sensors.
MCP Server
Includes a Model Context Protocol server to connect anomaly detection output to LLMs or AI agents.
Use Cases
IT and Cloud Operations
Monitoring infrastructure and service performance to help reduce alert fatigue and identify gradual service degradation.
Boomi Integration Monitoring
Detecting drift in process execution times and throughput in Boomi environments.
OT and Manufacturing
Identifying equipment drift and process deviations in operational technology environments to support downtime prevention.
Aquaculture Monitoring
Correlating water quality, feed, and sensor data to detect mortality signals or equipment deviation.
Integrations
- Prometheus
- Telegraf
- InfluxDB
- Boomi
- REST APIs
- SCADA historians
FAQ
What is Eyer?
- Eyer is a headless AI anomaly detection platform for time series data that automatically learns normal behavior across metrics to alert teams of meaningful deviations.
Do I need a data scientist to use Eyer?
- No, the platform is designed to be autonomous, building and maintaining baselines without requiring data scientists or manual rule writing.
How does Eyer pricing work?
- Pricing is scoped based on the number of metrics, environments, and support requirements of the specific deployment.
Is there a free trial available?
- Yes, a 4-week free trial is available, and the evidence indicates no credit card is required to start.
Source category: Software Development
Source subcategory: Observability Platform
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