AI governance for Manufacturing.
AI that respects what is on your shop floor and in your vault — ITAR and export-control safeguards, ISO 9001 quality records, and trade-secret protection. Controlled technical data and design IP never leave your environment, and every access is on the record.
AI that never becomes a deemed export
In an aerospace, defense, or advanced-manufacturing operation, the data an AI system would be most useful on is exactly the data you are least allowed to move. Technical data controlled under ITAR or the Export Administration Regulations cannot be released to a non-U.S. person or an unapproved environment, and pushing it to a foreign-operated model API can constitute a deemed export. We eliminate that exposure by running inference on-prem, so controlled data stays inside the boundary it is required to stay in.
The same architecture protects the IP that is not export-controlled but is still the company's crown jewels. Drawings, tolerances, process parameters, and formulations never reach an external vendor that could retain or train on them — which is what the reasonable-measures standard behind trade-secret protection demands. And because quality is its own regulator, the system writes ISO 9001 and AS9100-style records as it runs: who did what, on which revision, with what result.
Controls your export and quality leads can sign.
Each capability maps to a named obligation — ITAR, the EAR, ISO 9001 — not a generic security control.
- ITAR / EAR access gating
- Technology control plan alignment
- ISO 9001 / AS9100 records
- No controlled-data egress
- U.S.-person environment boundary
- No vendor retention or training
- Person- and nationality-aware access
- Revision-level traceability
- Append-only access trail
Where governance is non-negotiable in Manufacturing
The most valuable AI on the floor touches controlled or proprietary data — which is why governance has to come first:
- Engineering and design support — AI over drawings and specs that may be ITAR-controlled and must never reach an unauthorized person or environment.
- Quality and nonconformance — automation that produces ISO 9001 and AS9100 records with full revision traceability for audit.
- Process and yield optimization — models trained on proprietary process parameters that have to stay inside the company as trade secrets.
- Supply chain and export screening — AI that supports licensing and end-use decisions while keeping controlled technical data within the boundary.
Common questions.
How do you keep AI compliant with ITAR and export controls?
Technical data subject to ITAR or the EAR can only be accessed by authorized U.S. persons inside an approved environment — and sending it to a foreign-operated model API can be a deemed export. We run inference on-prem so that data never leaves your controlled environment, and we gate retrieval by person and nationality so the model only surfaces what a given user is cleared to receive.
Will an AI system protect our trade secrets and design IP?
Yes. Drawings, process parameters, and formulations stay inside your own infrastructure because inference never calls an external vendor that could retain or train on them. Access is role-scoped, and every retrieval is logged — so the reasonable-measures standard that underpins trade-secret protection is met by the architecture, not by policy alone.
Explore related capabilities.
Put AI to work without moving your IP.
Bring your hardest export-control or trade-secret question. In thirty minutes we map how an AI system stays inside ITAR and the EAR, keeps controlled data on-prem, and produces your quality records — and leave you with a concrete path. Response inside 24 hours.
Experienced within
Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: