Corelayer

Corelayer is an AI-powered on-call engineering platform designed specifically for financial services. It continuously monitors both data and infrastructure for issues, using AI agents to automatically debug production problems and suggest fixes within minutes. The platform is built for sensitive and regulated environments with state-of-the-art security features including confidential compute.

• Continuous Monitoring actively scans logs for errors and detects statistical anomalies in data, automatically starting background investigations when issues are detected.

• Root-Cause Analysis provides detailed explanations of what went wrong and actionable recommendations on how to fix issues, significantly reducing mean time to resolution.

• Source Citation makes validation easy by citing sources with direct links to relevant logs and code, enabling engineers to verify findings or continue investigations.

• Deep Research Agent uses a proprietary system that maps your entire system and data flows, providing rich context for investigation agents when something breaks.

• Extensive Integrations connects with your entire stack including AWS, Google Cloud Platform, Snowflake, Cloudflare, Apache Airflow, Astronomer, dbt, GitHub, Slack, Microsoft Teams, ClickHouse, Sentry, incident.io, Datadog, PostgreSQL, Vercel, Trigger, and PlanetScale.

• Enterprise Security features read-only access with fine-grained access control, PII detection and masking, zero-data retention by default, deployment options on Corelayer's cloud or your own, and confidential compute for sensitive data.

• SOC 2 Compliant has achieved SOC 2 Type I compliance, ensuring your data is protected according to industry standards.

To get started, sign up on the Corelayer website and connect your infrastructure and data sources through the available integrations. The platform requires no code and the team provides support throughout the setup process. Engineers in financial services can use the ROI calculator to estimate potential production support savings based on team size and current support time allocation.