Corelayer
Automate your on-call with data-aware AI agents.
Technology
How Corelayer’s technology works — architecture, AI models, and technical capabilities.
How does Corelayer work?
Corelayer works by continuously monitoring logs and data for issues using AI agents. It actively scans for errors and statistical anomalies, starting investigations in the background. Within minutes, it identifies problems and suggests fixes, allowing engineers to validate or continue the investigation.
What technology powers Corelayer?
Corelayer is powered by a multi-agent system that includes proprietary deep research and investigation agents. These agents utilize advanced AI techniques to monitor data flows and debug issues efficiently, ensuring rapid identification and resolution of problems.
What are Corelayer's main features?
Corelayer's main features include continuous monitoring of logs and data, automated issue detection, and AI-driven suggestions for fixes. It also offers configurable PII masking, SOC 2 compliance, and the ability to integrate seamlessly with existing tech stacks.
What type of AI does Corelayer use?
Corelayer employs a multi-agent AI system that includes deep learning models for anomaly detection and investigation. This system is designed to learn from production issues and optimize the debugging process, enhancing operational efficiency.
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