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Swimm

Legacy codebases analysed and modernised with expert validation.

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Coding & WebPaidWe checked the prices on swimm.io on 28 Sep 2026.

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What is Swimm?

Legacy codebases analysed and modernised with expert validation.

Who is Swimm best for?

Swimm is best for large enterprises with mainframe COBOL, Java or .NET systems that want the code mapped and documented.

  • Mainframe and COBOL owners

    Its analysis covers COBOL, JCL and PL/I as well as modern languages, and it pulls out the business logic buried in old code.

  • Large migrations

    Swimm takes on .NET and Java migrations and monolith to microservices moves, delivered in staged, fixed-price steps.

  • Teams adopting AI coding tools

    Its agentic context layer builds a checked knowledge base of the codebase that tools like Copilot, Cursor and Claude Code can query over MCP.

  • Regulated and air-gapped sites

    It runs on-premise, in the cloud or air-gapped, can use a company's own LLM, and holds SOC 2 and ISO 27001.

How much does Swimm cost?

Swimm does not publish prices: its codebase modernization work is quoted on the number of lines of code in scope and sold through a demo, with a proof of concept on request and no free plan.

Swimm's pricing page shows no prices: it says the price depends on the lines of code you want understood, system integrators can get project-based pricing, and proof-of-concept projects are available on request. Engagements run in four stages (assessment, specification, modernization and enablement), each with a fixed price. Plans and current prices are on swimm.io.

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Questions about Swimm

What is Swimm?

Legacy codebases analysed and modernised with expert validation.

Who is Swimm for?

Swimm is best for large enterprises with mainframe COBOL, Java or .NET systems that want the code mapped and documented.

Is Swimm free?

No. Swimm is a paid tool.

Where can I try Swimm?

On its official website, swimm.io.

Can Swimm use our own LLM?

Yes. Swimm says it can work with a company's internal LLM, such as Azure OpenAI Service or OpenAI Enterprise, and it supports on-premise, cloud and air-gapped deployments, so the code does not have to leave your environment.