Krexin

AI-powered Risk & Asset-Liability Management (ALM)

Key features

  • Automated asset-level valuation across illiquid instruments

  • Regulatory and stress-testing compliance (IFRS 17, Solvency II, GAAP, NAIC)

  • AI-driven term sheet parsing

  • Easy API integration with existing systems

  • Custom dashboards for diverse stakeholders

Who it's for: Insurance carriers Pension funds Private credit allocators Asset managers looking to modernize ALM and private credit risk modeling

What it does: Krexin transforms complexity into clarity—empowering clients to model risk with speed, precision, and flexibility. Its end-to-end, modular design and AI-enhanced workflow help institutions confidently manage illiquid assets and navigate regulatory landscapes with ease.

Powering Precision in Private Credit Risk across Insurance Balance Sheets

Krexin is a next-generation AI-driven platform designed for precision modeling, valuation, and management of asset-liability risk—specifically tailored for complex private credit portfolios. Built by industry experts and powered by modern AI, Krexin brings clarity and speed to what is traditionally an opaque and slow-moving space.

Team & Founding Story:
Krexin was founded by Jateen Kooverjee, a Stanford GSB/sloan fellow, qualified actuary, former trader, and Head of Asset-Liability Management for a $21 billion insurance balance sheet. With more than a decade in structured finance, he established Krexin to address data fragmentation, opaque pricing, and rigid legacy systems in private markets. Krexin

Head of Engineering Steven Cunnane, PhD, brings deep quantitative expertise to the team—with a background as Senior Risk Manager at Ocean Leonid Investments, Head of Quantitative Analytics at Old Mutual and Liberty Group, and equity strategist at Morgan Stanley.

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Categories:

Finance

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