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AI on-call engineer for data-heavy, regulated industries
Corelayer is the AI-native platform for production software support, built for data-heavy, regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes. We're helping teams at companies ranging from growth-stage fintechs to S&P 500 financial institutions spend less time on support and more on high-leverage work.
Co-Founder & CEO @ Corelayer | Automating production software support and maintenance for the world’s most complex environments. Prev: software + data infra @ Goldman Sachs, CS @ UMich, astrophysics research @ Princeton
Co-Founder & CTO @ Corelayer | Building the AI-native operations layer for production software and data systems. Prev: software + data infra @ Goldman Sachs, cloud infra @ Oracle, CS @ CMU
Detect and fix production issues 15x faster
Corelayer builds a platform that monitors data, logs, and infrastructure for anomalies in regulated industries and uses AI agents to debug, root-cause, and suggest fixes for production issues. It targets data-heavy teams in fintech, healthcare, and insurance to reduce on-call time and improve data quality, with SOC 2, on-prem options, and an audit trail.
Formerly “Sevvy” · why startups rename →
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