"CoreStory has raised $32 million (€27.5 million) in a Series A round. The company uses AI to analyze and document legacy code. This should enable companies to modernize their outdated software more quickly and securely. According to CEO Anand Kulkarni, legacy code is one of the most expensive challenges in enterprise technology. "Every time you swipe a card or make a claim, you're depending on software written decades ago that few people understand," he says."
"CoreStory solves this with agentic AI that extracts business logic and architecture from old applications. The system converts opaque code into usable specifications. According to the company, customers reduce their development time by 50%. Automated processes eliminate manual documentation and validation. These systems often contain millions of lines of code without documentation. Modifications are risky and modernization is costly. The platform works with the company's Code-to-Spec agent. Foundation models can generate code, but they struggle with large, interconnected systems. CoreStory's agent automatically interprets millions of lines of code and converts them into living requirements. Developers and AI agents use these as an atlas for code."
CoreStory raised $32 million (€27.5 million) in a Series A round. The platform uses agentic AI to analyze, document, and extract business logic and architecture from legacy code. The system converts opaque code into living, usable specifications that developers and AI agents use as an atlas. Customers reportedly reduce development time by 50% while automated processes eliminate manual documentation and validation. The rise of AI-generated code and billions of undocumented lines exacerbate modernization challenges. Joint research with Microsoft shows structured specifications improve AI agent accuracy by 51%, shortening modernization timelines and reducing project risk.
Read at Techzine Global
Unable to calculate read time
Collection
[
|
...
]