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Corelayer

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AI on-call engineer for data-heavy, regulated industries

Winter 2026Founded 20253 peopleSan Francisco, CA, USA
Generate ideas β†’
AI insightcan contain mistakes
AI Production Support PlatformSaaSEngineering teams, fintechs, healthcare companiesHigh competition
Moat
Data-aware alert correlation; proprietary debugging for regulated industries; integrations with monitoring and data systems.
Key risk
Incumbent APM vendors (Datadog, New Relic, Dynatrace) may add agent debugging; liability risk if recommended fixes are wrong.
Why now
On-call engineering burden increasing; incident response SLAs tightening; data debugging complexity requires AI.
Competitors
Datadog, New Relic, Dynatrace, Sentry, CloudZero
↻ Pivot / rename signal

This company has previously operated under β€œSevvy”. A rename frequently marks a pivot in positioning or product β€” useful raw material for variant ideas.

About

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.

Founders Β· 2

Mitch Radhuber
Mitch RadhuberFounder
Goldman SachsPrinceton

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

Shipra Jha
Shipra JhaFounder
OracleGoldman SachsCarnegie Mellon

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

B2BEngineering, Product and DesignArtificial IntelligenceDeveloper ToolsB2BEnterprise Software

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