Also known as: Sevvy
AI on-call engineer that debugs using data
Company is active
Event Year: 2026
Company is active
Event Year: 2026
Corelayer is developing AI-powered agents designed to provide on-call support for data-intensive sectors, including financial services, fintech, healthcare, and insurance. These industries rely heavily on data analysis to resolve production issues, and Corelayer's AI agents aim to streamline this process. By monitoring both data and infrastructure, the agents can rapidly debug issues and propose solutions, significantly reducing resolution times.
Recognizing the sensitive nature of data in regulated industries, Corelayer offers on-premise deployments and hardware-backed secure environments. These solutions enable the AI agents to leverage production data for debugging purposes while maintaining strict data security and compliance.
Founded by Mitch and Shipra, Corelayer stems from their shared experience building data infrastructure at Goldman Sachs. Their firsthand experience with the challenges of debugging complex systems processing massive datasets inspired them to create a more efficient and secure solution.
Corelayer is developing AI-powered agents designed to provide on-call support for data-intensive sectors, including financial services, fintech, healthcare, and insurance. These industries rely heavily on data analysis to resolve production issues, and Corelayer's AI agents aim to streamline this process. By monitoring both data and infrastructure, the agents can rapidly debug issues and propose solutions, significantly reducing resolution times.
Recognizing the sensitive nature of data in regulated industries, Corelayer offers on-premise deployments and hardware-backed secure environments. These solutions enable the AI agents to leverage production data for debugging purposes while maintaining strict data security and compliance.
Founded by Mitch and Shipra, Corelayer stems from their shared experience building data infrastructure at Goldman Sachs. Their firsthand experience with the challenges of debugging complex systems processing massive datasets inspired them to create a more efficient and secure solution.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2026
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2026
B2B
B2B
B2B -> Engineering, Product and Design
B2B -> Engineering, Product and Design
Team size: 2
Hiring: No
Team size: 2
Hiring: No