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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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Technical Setup & Integration

Agentic Context Layer

Swimm builds a validated knowledge base from your codebase that AI tools can consume. This includes:

  • Architecture and dependency maps
  • Dead-code analysis
  • Documented critical flows and extracted business logic
  • Queryable via MCP (Model Context Protocol) servers

Compatible AI tools include: GitHub Copilot, Cursor, Claude Code, and internal agents.

Deployment Options

  • On-premise including air-gapped environments
  • Customer-managed LLMs — your data never leaves your infrastructure
  • SOC 2 and ISO 27001 compliant

Analysis Engine

The proprietary deterministic engine covers:

  • Multi-repo dependency and entry-point mapping
  • Data flow tracing
  • Dead code detection
  • Cross-repo relationship analysis
  • Legacy language support: COBOL, JCL, PL/I, plus modern languages

Engagement Artifacts

  • Test plans and validation evidence
  • Audit-ready artifacts
  • Playbooks and training materials
  • Architecture maps and system documentation