Swimm

Swimm modernizes complex, often legacy codebases by combining deterministic static analysis, AI agents, and senior engineers — handling migrations, API architecture changes, and legacy system updates, including languages like COBOL, JCL, and PL/I alongside modern stacks. Its static analysis maps real dependencies and data flows before any AI transformation happens, an AI-agent layer anchored to that analysis scales the actual transformation work, and a live customer workspace tracks progress and deliverables in real time. Engagements run through four fixed stages — Assessment, Specification, Modernization, Enablement — each priced and validated separately rather than open-ended. SOC 2 and ISO 27001 certified, with a reported 100M+ lines of code analyzed and deployments including a "Top 5 US Bank" — exact pricing per stage isn't published and requires direct contact. Good fit for an enterprise with a large legacy codebase (including mainframe languages) that needs a structured, staged modernization plan rather than an open-ended AI rewrite with no fixed scope.