REA. We transform code into knowledge.
Every software system holds a portion of an organization’s knowledge. REA uses Artificial Intelligence to analyze source code, reconstruct the software architecture, and transform complex applications into a structured knowledge base, ready to be understood, shared, and continuously evolved.
We document systems in 3 steps
- 01 Understand the system REA automatically analyzes source code, reconstructing software architecture, components, dependencies, and application flows to obtain a faithful representation of how the system actually works.
- 02 Extract knowledge Artificial Intelligence interprets the information contained in the code and organizes it into a structured Knowledge Base that is understandable, navigable, and easily shareable across technical and business teams.
- 03 Make knowledge usable REA automatically generates technical and functional documentation, UML diagrams, use cases, test cases, accessibility analysis, and Automated Function Point measurements, creating a documentation base ready for maintenance, evolution, and software modernization.
Tailored operational clarity
REA can analyze the entire application or focus on specific modules, components, or services, producing targeted analyses based on the project’s objectives and the required level of depth.
By automating code analysis and documentation generation, REA drastically reduces assessment time and manual effort, allowing teams to focus immediately on software evolution, refactoring, and modernization activities.
Each analysis helps build a shared Knowledge Base, transforming individual know-how into an organizational asset and making maintenance, onboarding, governance, and continuous software evolution easier.
