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Swimm

Agentic modernization combining static analysis, GenAI, and senior engineers for complex code migrations

Enterprise·Technical·Powered by Customer-managed LLMs (provider-agnostic)·API available
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Key strengths

Deterministic static analysis for accuracy before AI is appliedHybrid approach: proprietary analysis engine + AI agents + human SMEsSupports on-premise and air-gapped deployments with customer-managed LLMsHandles 100M+ lines of code including legacy languages like COBOL and JCLFour-stage fixed-price engagement model with validation evidence at each step
Enterprise pricing
Self-hostable
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Swimm's platform is built on a proprietary deterministic analysis engine that maps dependencies, entry points, data flows, dead code, and cross-repo relationships across entire codebases — including legacy languages like COBOL, JCL, PL/I, and modern stacks. This structured system understanding is then used to anchor AI agents, preventing hallucination and ensuring AI-generated changes are validated against a trusted knowledge base.

The platform operates as an "agentic context layer" for the software development lifecycle, producing outputs queryable via MCP (Model Context Protocol) servers and compatible with AI coding tools like Copilot, Cursor, Claude Code, and internal agents. It is SOC 2 and ISO 27001 certified, supports on-premise and air-gapped deployments, and allows customer-managed LLMs to ensure data sovereignty.