Swimm is an application understanding platform that helps enterprises modernise mainframe and legacy systems with confidence. Its structural modelling and static analysis map entire codebases by business function, while AI layers summarise and explain the results without inventing anything.

Modernising legacy applications is one of the hardest problems in enterprise software. Critical business logic is locked inside decades-old COBOL, JCL and PL/I code, often understood by a shrinking pool of specialists. Without a verified understanding of what the code actually does, modernisation projects stall or fail.

Swimm solves this by automatically mapping applications into explorable domains, unifying code-derived terminology with expert knowledge, and tracing how changes propagate across programs, jobs and data flows. The platform converts business rules into modernisation specs and user stories, and provides governed context to AI agents via MCP, delivering 75% faster and 61% lower cost execution. Deployable on-premise, including air-gapped environments, and proven on codebases of over 100 million lines, Swimm gives Oren, Omer, Gilad, Tom and team a strong position in the fast-growing market for AI-assisted legacy modernisation.