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Swimm

Swimm is a product-enabled service for modernizing software, combining deterministic code analysis, AI, and subject-matter experts.

Place
#19 of 27
Score
6.1
Swimm's website

What Swimm is

Swimm is a product-enabled service for modernizing software, combining deterministic code analysis, AI, and subject-matter experts. Its engine maps dependencies, data flows, and relationships across repositories to build an understanding of a system. Swimm applies that context to modernization work such as API-first architecture, large-scale migrations, and an agentic context layer. The layer creates a validated knowledge base for tools including Copilot, Cursor, Claude Code, internal agents, and MCP servers. Engagements progress through Assessment, Specification, Modernization, and Enablement, with fixed pricing per stage and validation evidence at each step. Overall pricing depends on the number of lines of code to understand, and visitors are directed to request a demo; Proof of Concept options are available by contacting Swimm. The company says it can work with codebases of any size, including those with millions of lines, and serves complex and legacy systems, including mainframe code. It lists support for COBOL, JCL, and PL/I. Swimm supports API use, web access, self-hosted deployment, on-premise and air-gapped environments, and customer-managed LLMs such as Azure OpenAI Service or OpenAI Enterprise. It says it is SOC 2 and ISO 27001 compliant.

Good

  • Maps dependencies and data flows across repositories.
  • Engagements have four defined stages.
  • Supports on-premise and air-gapped deployment.
  • Customers can use internally available LLMs.
  • Works with codebases of any size, according to Swimm.

Watch out

  • Pricing depends on lines of code to understand.
  • A demo or Proof of Concept requires contacting the company.

Who it suits

Swimm is aimed at enterprise teams modernizing complex codebases, including mainframe and legacy systems. It may suit organizations that want staged modernization work and the option to use internally available LLMs.

Verdict

Swimm combines code analysis, AI, and expert-led services for staged software modernization. Prospective customers should request a demo to discuss scope and pricing, which depends on the codebase size.

Plans and prices

From Swimm's own pricing page, checked 10 Oct 2026.

All about pricing
PlanPriceWhat it gives you
Project-based pricingPriced on requestPricing based on lines of code to understand · Project-based pricing can be arranged for system integrators · Proof of Concept options available

The facts

Each one read from Swimm's own pages, with the date it was checked.

What it does

AI context
Swimm says it builds a validated knowledge base for AI tools including Copilot, Cursor, Claude Code, internal agents, and MCP servers.checked 10 Oct 2026
Audience
Swimm describes its work as serving enterprise teams modernizing complex codebases, including mainframe and legacy systems.checked 10 Oct 2026
Codebase size
Swimm says it can work with codebases of any size, including those with millions of lines of code.checked 10 Oct 2026
Current offering
Swimm describes itself as a product-enabled service company delivering agentic modernization through deterministic analysis, AI, and subject-matter experts.checked 10 Oct 2026
Customer-managed models
Swimm says customers can use an internally available LLM, including Azure OpenAI Service or OpenAI Enterprise.checked 4 Oct 2026
Deployment
Swimm says it supports on-premise and air-gapped deployment, as well as customer-managed LLMs.checked 10 Oct 2026
How delivery works
Engagements proceed through assessment, specification, modernization, and enablement, with fixed pricing per stage and validation evidence at each step.checked 10 Oct 2026
Integrations
The integrations page lists VS Code, GitHub, JetBrains IDEs, GitLab, Bitbucket, Azure DevOps, GitHub Copilot, Backstage, Slack, Mermaid, Compass, and gitStream.checked 10 Oct 2026
Language support
Swimm says it has experience with various COBOL versions and asks customers to contact its team about specific needs.checked 10 Oct 2026
LLM support
Swimm says it can use a company's internal LLM, including Azure OpenAI Service or OpenAI Enterprise.checked 10 Oct 2026
Modernization work
Its offerings include API-first architecture, an agentic context layer, and large-scale migrations.checked 10 Oct 2026
Pricing basis
Pricing is based on the number of lines of code to understand, and the pricing page directs visitors to request a demo rather than listing amounts.checked 4 Oct 2026
Proof of concept
Swimm says Proof of Concept options are available by contacting the company.checked 4 Oct 2026
Scale
Swimm says it can work with codebases of any size, including those with millions of lines of code.checked 4 Oct 2026
Security
Swimm states it is SOC 2 and ISO 27001 compliant and says reports are available upon request.checked 10 Oct 2026
Staged delivery
Engagements have four stages—Assessment, Specification, Modernization, and Enablement—with fixed pricing per stage.checked 4 Oct 2026
Support
Swimm lists dedicated enterprise support and implementation teams, and gives customers [email protected] for technical support questions.checked 4 Oct 2026
Support and contact
The pricing page directs additional questions to [email protected].checked 10 Oct 2026
System analysis
Its proprietary engine maps dependencies, data flows, and cross-repository relationships to build system understanding.checked 4 Oct 2026
What it does
Its platform maps dependencies, data flows, and cross-repository relationships to create system understanding for modernization work.checked 10 Oct 2026
Who it serves
Swimm describes its work as serving complex codebases, including mainframe and legacy systems, and names COBOL, JCL, and PL/I among its supported languages.checked 4 Oct 2026

The company

Headquarters
New York, New York, United States; Tel Aviv, Israelchecked 28 Sep 2026

Money

Trial or evaluation
Swimm says Proof of Concept options are available and invites prospective customers to contact it.checked 10 Oct 2026

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