CIOPages
DirectoryAI & ML PlatformsEnterprise AI ApplicationsSwimm

Swimm

Funded

Deterministic application understanding for reliable AI-driven modernization

Visit Website

About Swimm

Swimm provides a platform that delivers precise, deterministic understanding of complex enterprise applications to support modernization efforts. It extracts business rules, decision logic, and data flows directly from source code, ensuring a verifiable and complete representation of application behavior. This approach eliminates reliance on inferred or AI-generated summaries, enabling stakeholders across the business—including developers, architects, and analysts—to collaborate with a single, trusted source of truth.

Designed for large enterprises managing legacy and modern codebases, Swimm facilitates high-stakes modernization by mapping code to business functions and tracking dependencies across system boundaries. It supports mainframe and legacy languages such as COBOL, JCL, and PL/I, while maintaining continuous updates as code evolves. Swimm’s platform is security certified (SOC 2, ISO 27001) and supports on-premise deployment including air-gapped environments, ensuring data control and compliance for sensitive enterprise environments.

Key Capabilities

  • ✓Deterministic business rule extraction from source code
  • ✓Comprehensive application behavior and system mapping
  • ✓Cross-boundary flow and dependency tracking
  • ✓Support for legacy and modern programming languages
  • ✓On-premise deployment with air-gapped environment support

Integrations

Customer-managed Large Language Models (LLMs)AI agents consuming structured contextLegacy system interfaces

Related Buyer Guides

Independent evaluation frameworks for this category.

AI Agent & Agentic AI Platforms
Compare LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, AWS Bedrock AgentCore, LlamaIndex, and Temporal — where production operability, not the slickest multi-agent demo, is the deciding criterion.
AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

swimm.io
CategoryAI & ML Platforms
SubcategoryEnterprise AI Applications
PricingSubscription
DeploymentOn-Premises
Target SizeEnterprise