Backed by Y CombinatorProduction on autopilot
Proactive incident response and prevention for complex production environments.
Trusted by engineering teams from the growth stage to the enterprise
How Corelayer extracts signal from messy production systems
Infrastructure that enables agents to reason over enterprise-scale production environments.
Proactively monitors your environment
Ingests alerts, exceptions, and anomalies from across your stack, with sub-agents filtering noise and false positives.
Maintains a rich context graph
Explores your environment, observes failure patterns, and learns from engineers — purpose-built for causal reasoning across production.
Escalates what actually matters
Applies your team's definition of business-critical to group related issues and summarize impact and blast radius.
How Corelayer fits into your workflow
Everyone works differently. Designed to adapt to your setup.
Designed for the most sensitive environments
Deploy Anywhere
Deploy in your own cloud or on-prem, so data never leaves your environment.
Data & Model Control
Zero data retention by default, with BYOK and custom gateway support.
Enterprise-Grade
SSO, RBAC, SCIM provisioning, audit logs, and dedicated support.
SOC 2 Type II compliant.
Trust center →We're building a fundamentally new way to understand your production environment. Agents that proactively root-cause and prevent incidents with superhuman understanding of your systems and organization. Agents that only surface genuine issues that actually matter to your users. We're building the infrastructure to make this possible in the world's most critical production environments.
Corelayer is built for data-intensive teams, with anomaly detection for silent data issues and agents that securely query underlying data while debugging.
Corelayer is designed for regulated environments, with BYOC and on-prem support, custom PII masking, and secure inference options like confidential compute.
I've tried literally every AI SRE product… Corelayer is very impressive.
The only product I've seen that's been able to catch and fix Heisenbugs.
Corelayer is seriously saving me right now.
FAQ
How does Corelayer handle sensitive data?
Corelayer deploys into your cloud or on-prem, so production data never leaves your environment. With custom PII masking, BYOK, custom gateway support, and confidential compute, your data stays protected and is never used for training.
Does Corelayer replace observability tools?
No. Corelayer securely integrates with your existing observability and infrastructure — no code changes required.
What does Corelayer integrate with?
Corelayer integrates with every major cloud provider, observability tools like Datadog and Splunk, GitHub and GitLab, incident response tools like PagerDuty and Incident.io, data infrastructure like Postgres and Snowflake, and much more.
We build integrations to support new use-cases all the time.
Can't I just debug with a coding agent?
Coding agents are useful tools for ad-hoc debugging, but aren't designed to automate complex production work at scale. Even frontier models like Claude Opus 4.6 achieve only ~35% accuracy on the OpenRCA benchmark.
There's substantial infrastructure that needs to exist before an investigation to unlock this, no matter how smart the model.
There's a lot of noise in our logs. Are we a good fit for Corelayer?
Yes. Corelayer is often most valuable when your systems are noisy and hard to wrangle by hand. Specialized sub-agents detect false positives, semantically group related issues, and apply your team's business context so you're only notified about issues that actually need attention.
Can't find your answer here? Get in touch.