Does our data train anyone else's model?

Two different concerns hide inside this question. One is contractual: whether a provider may use submitted data for training. The other is architectural: whether the data is submitted in the first place. Contract terms can change and are difficult to verify; architecture is verifiable.

Centralpoint supports embedded local models — Llama, Qwen and ONNX — for environments where content cannot be sent to an external service, in which case the prompt never crosses the boundary and the training question does not arise. Where cloud providers are used, the organization's prompts and skills still reside in its own environment rather than in the provider's tooling, so the intellectual capital encoding how questions are answered stays local regardless of which model performs the inference.