The context layer you believe in. At every source.
Catalogs, semantic layers, knowledge graphs · you've built them where you had control: the warehouse. Operational systems stayed out of reach. Own your context is the same discipline at every source · LLM-maintained knowledge of schema, semantics, rules, and working examples · the substrate LLM analytics needs to be trusted.
Semantics at the source, not a copy.
No central re-model required. The wiki compiles where the data lives and stays current as it changes.
Point the gateway at operational sources · CRM, tickets, app DBs · alongside the warehouse.
An agent builds and maintains the wiki: schema, semantics, rules, queries that worked.
Analytics agents read the wiki first · consistent answers, whoever asks.
Semantic discipline at the source · no lock-in, no re-platform.
Knowledge that compounds per source.
The parts of the modern data stack that never reached operational systems.
Context across systems
Schema, semantics, and rules captured per source · linked into one growing body of knowledge.
Own your context →Answers that agree
Two people, two questions, one truth · because every agent reads the same captured context.
Own your context →Refinement before reasoning
Joins, filters, and quality checks run in code · the model reasons over results, not raw rows.
Governed workspace →Federated access
The warehouse stays authoritative for analytics · one connection among every system that owns truth.
Secure connections →
Your semantic layer was waiting for this.
Connect one operational source and see the wiki it produces · then decide how far to take it.
