Corelayer

Founded 2025

Monitors data and infrastructure for issues using AI agents.

Cost

Demo

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Corelayer to automatically monitor your data and infrastructure for production issues in financial services. It detects errors in logs and statistical anomalies in data, then uses AI agents to investigate problems and suggest fixes within minutes. The system provides root cause analysis with links to relevant logs and code, making it easy to validate findings or continue investigations. It includes features like anomaly detection, PII masking, and confidential compute for sensitive data environments.

What Corelayer does

Set up automated monitoring for data pipelinesConfigure anomaly detection thresholdsReview AI-generated incident reportsValidate suggested fixes from investigationsTrack production issue resolution timesMonitor system performance metricsManage access controls for sensitive dataConfigure PII masking rulesContinuously monitors logs and data for anomaliesAI agents investigate issues in the backgroundProvides root cause analysis within minutesSuggests specific fixes for detected problemsMaps system and data flows automaticallyIncludes PII detection and maskingSupports confidential compute for sensitive dataZero-data retention by default

Tutorials & Demos

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