Security & Compliance First

Compliance Built In, Not Bolted On

Cloud AI sends your prompts and documents to third-party servers, where they may be logged, reviewed, or used to train models that could end up in your competitors' hands. On-premises AI removes that exposure at the architecture level — nothing crosses your network boundary, so there is nothing to leak, nothing to subpoena, and nothing to lose in a breach at someone else's data center.

Why Architecture Beats Policy

A cloud AI vendor's privacy policy is a promise; on-premises is a guarantee enforced by physics. When the model runs on a Mac Studio in your office, there is no API call to intercept, no vendor retention period to negotiate, and no training pipeline that ever sees your data. That is the difference between hoping your data is private and knowing it is — and it is why regulated industries, healthcare, and anyone handling confidential client work move to on-premises.

Read our privacy policy and security policy for the full details of how we handle data and infrastructure, and see the hardware packages that make it possible.