Hypercubic raises $5.3M to rewrite legacy COBOL apps with AI agents
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Hypercubic raises $5.3M to rewrite legacy COBOL apps with AI agents

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Published by AINave Editorial • Reviewed by Ramit

TL;DRHypercubic raised $5.3M to automate COBOL modernization with AI agents that map codebases, recover business logic, and rewrite to Java. Pilots are underway with a major Latin American bank and a Caribbean retailer.

Hypercubic Inc. has raised $5.3 million in seed funding to automate the modernization of legacy COBOL applications using AI agents. The startup claims its agents can map undocumented codebases, recover hidden business logic, and rewrite functions into modern languages like Java in months instead of years.

How Hypercubic's agents map and rewrite legacy COBOL

The agents first map the entire COBOL codebase, recovering business logic that has never been documented. They generate documentation and then produce a modern equivalent designed to preserve production behavior. Co-founder Sai Gurrapu told SiliconANGLE that "the problem is not simply translating COBOL syntax" but recovering decades of embedded logic and proving the replacement works in production. The agents are powered by models trained on massive volumes of COBOL code and use production-aware verification to ensure correctness.

Funding and team

The seed round was led by CIV with participation from Y Combinator, Afore Capital, Pioneer Fund, Multimodal Investors, and angels including Opendoor CEO Kaz Nejatian and former Amazon Marketplace engineer Venky Harinarayan. The founders are former Apple engineers Sai Gurrapu and Aayush Narik.

Pilot deployments and what's still unproven

Hypercubic is already working with one of the largest banks in Latin America and a Caribbean retailer serving over 50 million customers annually to revamp critical applications. The company claims its agents can fully modernize legacy apps in a couple of months, compared to years for manual transformation.

These claims are vendor claims, not independently verified. The pilots are early, and Hypercubic has not published benchmarks or detailed case studies. COBOL modernization involves more than code translation: it often requires redesigning data architecture, storage, and transaction processing. Hypercubic's approach focuses on the code layer, but full modernization may require additional work.

For builders evaluating COBOL modernization tools, Hypercubic's approach is worth watching but not yet proven at scale. The funding suggests investor confidence, but the real test will be whether the agents can handle the complexity of production mainframe systems without introducing regressions.

FAQs

AI-powered COBOL modernization uses AI agents to read, document, map, and rewrite legacy COBOL code into modern languages like Java. Hypercubic's approach involves first mapping the entire codebase, recovering embedded business logic, generating documentation, and then producing a modern equivalent that preserves production behavior. The agents are trained on large volumes of COBOL code and use production-aware verification to ensure correctness.

Sources

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