Generative AI on a factory floor the internet cannot reach.

IATF and ISO environments generate exactly the data AI is good at: control charts, capability studies, measurement-system analyses, failure modes. And in many facilities, none of it may leave the premises. The standard answer is to skip AI entirely, which leaves quality engineers doing spreadsheet archaeology while defects tell them what the data already knew.

Deploy the whole platform inside the building: local models, local retrieval over the quality management corpus, and supervised agent workflows with no external dependencies. Real-time control charts with rule-based alerting catch drift as it develops; agents that understand PFMEA and control plans guide the compliance workflow; and every AI answer is grounded in the facility's own quality library.

Sovereignty is not a reduced mode. The air-gapped deployment carries the same capability as the connected one, engineered from the start rather than stripped down after the fact.

Quality intelligence arrived on the floor where the questions are asked, without a single byte leaving the building. Drift is flagged before it becomes scrap, audit preparation became a report instead of a project, and the facility gained a working proof that regulated environments do not have to choose between sovereignty and capability.