Solutions
Air-gapped AI systems designed as complete environments.
System Secure AI designs the compute, network, security, cooling, and procurement path needed to run professional AI workloads inside controlled infrastructure.
Deployment model
From design brief to isolated AI workspace.
Every environment starts with workload goals, data sensitivity, personnel access, and site constraints. From there, the system design becomes a clear bill of materials, network map, and staged deployment plan.
1. Scope
Define AI workload, model size, storage, power, access, and isolation requirements.
2. Architect
Select server class, secure network zones, transfer controls, and component compatibility.
3. Deploy
Prepare documentation, procurement data, installation sequence, and operational controls.
Professional fit
Designed for teams where data exposure is not acceptable.
Use cases include secure R&D, private model evaluation, regulated data analysis, confidential engineering, and high-value intellectual property workflows.
SecurityIsolated by design
ComputeGPU dense
OperationsDocumented handoff
API Surface
Vendor connections can be added without redesigning the site.
The current build keeps sensitive keys server-side and gives vendors clear endpoints for inventory, quote, intake, and checkout workflows.