Humans bring the meaning: a domain/business expert defines the concepts, business terms, and relationships that matter; a data engineer identifies and connects the sources; a governance owner sets who can access what.
The platform does the mechanical and risky parts: it generates a starting ontology with AI (bottom-up from existing schemas), maps concepts to physical schemas, validates that the paths actually connect to real data, compiles concept traversals into optimized SQL, enforces access at retrieval time, and serves results to SQL clients, BI tools, applications, and AI agents.
The division of labor: humans own what things mean and sign off on the AI’s proposals; the platform owns making that meaning true, fast, and governed against live data.
