AI Infrastructure & MLOps Enterprise Only

Corelayer

AI-native production incident response, prevention, and on-call assistance

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PricingEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
APIUnknown
Open sourceNo
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

Corelayer is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Corelayer?

Corelayer builds an AI SRE layer for complex production environments. It ingests alerts, exceptions, anomalies, code, database, deployment, and observability context; filters noise; maintains a context graph; investigates root causes; summarizes impact; and works through browser, CLI, MCP, Slack, and Microsoft Teams.

Best fit

Best for

Engineering teams managing noisy, complex, or regulated production systems

Audience

Who is it for?

Site reliability engineersPlatform engineering teamsOn-call developersEngineering and operations leaders
Recommendation

Decision note

Confirm deployment architecture, supported observability and data systems, data retention, BYOK, PII masking, coding-agent access, incident workflows, support, security, implementation, and the current quote.

Capabilities

Key features

Proactive alert and anomaly monitoring

Context graph of systems and failure patterns

Specialized sub-agents for noise filtering

Root-cause, impact, and blast-radius summaries

Browser, CLI, MCP, Slack, and Teams workflows

BYOC or on-prem with BYOK and zero retention

Workflows

Use cases

Investigating production incidents

Preventing recurring failures

Giving coding agents production context

Reducing noisy on-call escalations

Strengths

Pros

  • Deploys in the customer environment
  • Integrates with the existing observability stack
  • Publishes strong enterprise control options
Considerations

Cons

  • Pricing requires a demo
  • Automated investigation needs engineering review
  • Broad production access increases governance needs
Considerations

Limitations

Corelayer can correlate the wrong events, miss hidden dependencies, or suggest an unsafe fix. Teams must validate every conclusion, preserve least privilege, test changes, maintain rollbacks and independent monitoring, and never allow an agent to alter production without approved controls.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
Pricing context

Billing options

Custom enterprise agreementPilot or environment evaluation
Pricing context

Pricing note

Corelayer uses a sales-led enterprise process. The official site offers demos and environment evaluation but does not publish a stable starting price, ongoing free plan, or general self-service trial.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Datadog

Splunk

GitHub

GitLab

PagerDuty

Incident.io

Postgres

Snowflake

Major cloud providers

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentHybrid
CompanySevvy AI, Inc.
Launch year2023
Models / versionsProduction context graph Specialized SRE sub-agents
Editions / plansProduction Cortex Incident Investigation Preflight Prevention
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Corelayer builds an AI SRE layer for complex production environments. It ingests alerts, exceptions, anomalies, code, database, deployment, and observability context; filters noise; maintains a context graph; investigates root causes; summarizes impact; and works through browser, CLI, MCP, Slack, and Microsoft Teams.
Engineering teams managing noisy, complex, or regulated production systems
The listed pricing model for Corelayer is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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