Corelayer
Corelayer is a YC Winter 2026 (W26) company. Based in San Francisco, CA, USA. Team of 3.
About Corelayer
Summary
Corelayer builds an AI on-call engineer for engineering teams in finance, healthcare, and insurance. It continuously monitors logs, metrics, and data across production environments, then runs agents to diagnose incidents and propose fixes, replacing the manual debugging work engineers do during outages. Because production data in regulated industries is sensitive, Corelayer supports on-premises deployments and hardware-backed secure inference so agents can use live data as debugging context.
Go-to-market
Engineering teams at growth-stage to enterprise companies in regulated industries are the buyers; teams can start via a demo request or a self-serve CLI and MCP integration that plugs into existing workflows.
From the Y Combinator listing
AI on-call engineer for data-heavy, regulated industries
We’re building the AI on-call engineer for data-heavy, regulated industries like finance, healthcare, and insurance. Engineers in these industries need to inspect data to debug production issues. We continuously monitor logs, metrics, and data for issues and use agents to debug and suggest fixes in minutes. Data is especially sensitive in regulated industries, so we offer on-prem deployments and hardware-backed secure inference environments that let agents safely use production data as context while debugging. Mitch and Shipra founded Corelayer after building data infrastructure together at Goldman Sachs, where they spent many late nights and weekends debugging systems that processed 100s of billions of rows a day.
Facts
- B2B / B2B -> Engineering, Product and Design
- San Francisco, CA, USA
- 3
- Active
- Early
Founders (2)
- Shipra Jha
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