Is anything sent to KC used to train models?
No. Prompts, tool inputs, and governance data that an AI feature or a KC tool call processes are used to serve that request. Keldyn does not train or fine-tune any model on customer content. Oversight and who can read AI artifacts are in AI data handling.Where is data processed and stored, and under which jurisdiction?
The application, API, and MCP server run on cloud hosting operated by companies based in the United States. The primary database is managed PostgreSQL. Data you send, in the app or through KC, is processed and stored there. Not every AI feature calls a model provider. A coding-agent review, and the evidence-collection prompts, run on your own model. Keldyn’s model is not in that path. Two Keldyn-side calls do leave the app: the architecture summary written when an architecture is saved, and the changed lines of a pull request when the PR Review Bot runs. Those go through an AI inference gateway to a model provider, for that request only, and are not used for training. Data flow names what is sent, the provider, the region, and what is kept. Regions and any residency commitment on your contract are on the Trust Center. Infrastructure moves; a copied region list here would lie.Which subprocessors are involved when KC runs?
A typical KC request, and the same actions in the web app, involve these subprocessors:
That is the data path for a typical KC request. The Trust Center is the current list for your contract. Check it before you paste this table into a questionnaire.