Knowledge Inside Information

Knowledge Inside develops arKItect, a model-based platform designed to make AI reliable for complex engineering. With more than 20 years of experience and over 50 references in French industry, we have validated our platform on complex, real-world engineering and data management projects. Our conviction is simple: AI becomes truly useful for engineering only when it operates inside a formal harness: structured models, explicit semantics, domain rules, traceability, controlled operations, and reusable legacy knowledge. arKItect provides this harness for engineering models. It enables teams to structure, visualize, validate, and operate complex engineering data through configurable data models, domain-specific views, formal rules, imports, exports, operating programs, editing modes, and custom Python tools. Graiss is dedicated to legacy data management. It helps organizations structure, query, and reuse existing information coming from documents, databases, spreadsheets, and other enterprise sources. With arKItect-MCP and Graiss-MCP, AI assistants can work with both structured engineering models and existing legacy data, without bypassing the rules, structure, and traceability that engineers rely on. This is how we see the future of enterprise AI in engineering: not autonomous agents acting on uncontrolled context, but AI assistants operating inside a structured, validated, and auditable environment. Knowledge Inside supports industrial organizations in sectors such as automotive, energy, railways, space, and robotics. We also provide tailored configurations for Systems Engineering, as well as custom tools and web client applications based on our arKItect platform. Contact us: contact@k-inside.com