Regulated Industries
The most valuable data is the data AI vendors can't touch.
Aerospace, defense, and regulated manufacturers hold decades of technical data that would transform their operations with AI, and none of it can visit a vendor's cloud. NetRay exists for exactly this asymmetry: frontier-class AI deployed inside your compliance boundary, with the paperwork your security officers need.
Why regulated industries are locked out, and how to unlock
Every mainstream AI product assumes data can travel: to an API, a vendor cloud, a telemetry endpoint. Export-controlled drawings, CUI-marked documents, and controlled technical data cannot. The result is that the industries with the deepest, most valuable private corpora are watching the AI wave from shore.
The unlock is architectural, not contractual: open-weight models on your infrastructure, retrieval over your restricted corpora, fine-tuning inside your boundary, and MLOps that works offline. No trust-us clause required, because nothing leaves.
What compliance-aligned deployment means in practice
Alignment is built in from the architecture review, not audited in afterward:
- Data flow diagrams your security team can verify: every path the data can take, and the proof it takes no others
- Access control mapped to program requirements, including US-persons-only operational configurations where required
- Audit trails for every prompt, retrieval, and model update, retained under your policy
- Signed offline model registries and documented artifact chain-of-custody for air-gapped enclaves
- Documentation packages written for assessors: system security plans, data handling procedures, and evidence indexes
What these deployments actually do
The use cases are the same ones transforming unregulated companies, finally made deployable: retrieval assistants over decades of technical documents and quality records, maintenance and repair copilots on the shop floor (our PCBSpot product cut no-fault-found rates 73% in defense electronics without a single external call), proposal and compliance-matrix acceleration for capture teams, and coding assistants for engineers who work inside the boundary.
Aerospace deserves its own mention: leasing and MRO records, engineering orders, and certification paperwork are dense, old, and endlessly queried. Grounded retrieval over them is the highest-ROI first project we see in that vertical.
How engagements are structured
We start with the data-grade assessment and your specific regime's requirements, produce the architecture and compliance documentation before any deployment, then build inside your boundary with your team. Publicly we discuss categories and patterns only; program specifics stay inside the engagement, which your security officers will recognize as the correct default.
Straight answers
Can AI be used on ITAR data at all?
Yes, when the entire stack runs on infrastructure you control with access limited per your export-control obligations. What ITAR prohibits is uncontrolled export, and sending technical data to a third-party API can constitute exactly that. On-prem open-weight deployment keeps the data where your controls already are.
Does CMMC affect AI tool choices?
Directly: CUI flowing through an AI tool makes that tool part of your assessment scope. A self-hosted deployment inside your existing CMMC boundary inherits your controls; a third-party SaaS adds an external service to your scope with all the diligence that entails. We design deployments to live inside the boundary you already certify.
Do you work with primes and subs both?
Yes. Primes typically engage us for enclave and program-level deployments; subcontractors most often start with a CUI-safe internal assistant and the readiness assessment, since flowdown clauses increasingly ask them to account for AI tool usage.
What proof do we get that nothing leaves?
Network architecture you can inspect, egress rules you control, and logging that demonstrates the absence of external calls. For air-gapped deployments the proof is physical. 'Provable zero egress' is the standard our regulated clients hold us to, and it is the right one.
Deploy AI your security officer will sign off on.
Start with the data-grade assessment. We'll map your regime's requirements to an architecture, with the documentation trail included.
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