Sovereign & Air-Gapped AI

ClydAI Technologies designs and builds AI systems that run entirely inside an organization's own environment, on-premises or fully air-gapped, so sensitive data, models, and decisions stay under the organization's control.

Sovereign AI is AI that an organization owns and operates within its own security boundary. Models, data, and AI infrastructure run inside the organization's environment instead of depending on outside services. For organizations that operate in secure, predominantly on-premises or air-gapped environments, it is often the only practical path to AI adoption.

AI looks very different when the environment is highly constrained. This isn't simply about deploying a model. It's about designing an AI strategy around the environment the organization actually has. Our work covers:

A representative sovereign AI challenge: decades of proprietary engineering data in a massive relational database with thousands of interdependent tables, air-gapped security, and output that must satisfy mandated standards exactly. ClydAI is designing an AI platform for this kind of environment for an aerospace engineering client.

Every question goes to the relational database first. A dedicated intake layer translates a person's request into an exact, machine-readable query before any data is fetched. Code resolves the data. The model reasons over the result. When there is exactly one correct answer, a probable answer is not good enough.

Read the full article on AI Perspectives: AI Architecture: Abstracting Complexity Before the Model Sees It (No. 7 in the list)

Sovereign AI is AI that an organization owns and operates inside its own security boundary, with its models, data, and infrastructure under its own control.

Yes. Models and the supporting AI infrastructure can run entirely inside an air-gapped environment. The architecture has to be designed around the hardware, security, and data constraints that the environment actually has.

ClydAI Technologies designs AI strategy and architecture for on-premises and air-gapped environments, including model selection, GPU sizing, data architecture, and the path to AI adoption.

It is for organizations that cannot send their data to outside services, such as federal agencies, aerospace and engineering organizations, and other regulated enterprises.

Contact us at info@clydai.ai