Installation
Connect KnowOS to Claude, ChatGPT or any MCP client.
One endpoint and the same contract for all of them. You switch models without touching the integration.
Under the hood · For developers
The model never sees the database. It sees tools with business names, and only the ones its token allows it to use.
Architecture
ERP, eCommerce, CRM, CSV or APIs, with no manual pipelines.
Versioning and lineage built in, partitioned by customer and by time.
Objects, relationships and actions, readable by AI via MCP.
Applied before answering: role, rows, columns and actions.
Correlations detected and validated against real data.
MCP server
Installation
One endpoint and the same contract for all of them. You switch models without touching the integration.
Tools
API
Audit
Relational + vector
REST and GraphQL APIs generated from the data models, and an MCP server for AI clients. The same contract for all of them.
No. Ingestion, the data lake, modelling and the ontology are configured without code during setup.
Whichever you prefer: GPT, Claude or Gemini. You switch models without touching the integration, because the rules live in the ontology.
Not in the first phase. After that, actions are generated as drafts and Connect or Flow executes them once a person approves.
On request. By default, a dedicated EU server in your name.
A 30-minute session on a real case: a historical price list, an internal procedure, a query that today ends up as a request to IT. You leave with the scope of sources and a fixed price.