We automate documentation updates, facilitating the integration of new developers.
WHAT WE SOLVE
We combat outdated or non-existent documentation, knowledge isolated in team silos, and time wasted searching for technical information by creating a living, accessible knowledge base powered by AI.
We automatically generate documentation from source code and commits, create chatbots that answer technical questions by consulting the entire code base and documents, and build knowledge graphs that visualize dependencies and architecture.
WHAT TECHNOLOGY WE USE
At TIMIA adapt to your technological environments and work with the tools your company already uses. Our team is proficient in leading technologies such as LangChain for RAG applications, Neo4j for knowledge graphs, Confluence with AI , tools such as Swimm for generating pseudocode, and data with Qdrant, Chroma, and Supabase.
FAQs
Knowledge management with AI dependence on key individuals and reduces time wasted searching for critical information. For the business, this translates into greater operational continuity, lower risk from talent turnover, and more productive teams, with quick access to reliable information.
Automatically generated and updated documentation drastically reduces the time teams spend understanding existing systems. This allows you to accelerate onboarding, reduce errors, and free up time for higher-value tasks, improving the overall efficiency of the organization.
AI and connects scattered information in code, repositories, and documents. At TIMIA knowledge bases accessible via natural language, allowing any team to find answers without relying on others, eliminating friction and bottlenecks.
Technical chatbots provide immediate answers about systems and processes, while knowledge graphs visualize dependencies and architecture. This improves decision-making, reduces risks in changes, and facilitates technological evolution without losing control.
TIMIA the generation of documentation from code and commits, ensuring that knowledge evolves alongside the software. The result is a living, traceable knowledge base aligned with the actual state of the systems, ready to scale with the business.
