Where your data lives.
Real AI capability without handing your data to someone else's cloud. Here is exactly how it is built.
Private, hybrid, or external.
There is no single right architecture. The three deployment models sit on a spectrum: maximum control on one end, maximum speed on the other, and a balanced path between.
Private
Your AI stays entirely within your walls. The most control and the strongest compliance story, on infrastructure you run. AI runs entirely inside your environment: maximum control, highest sovereignty.
Best for: regulated data, PHI, and anything that can't leave your perimeter.
Hybrid
Keep sensitive work in-house and reach for external models only when they add value, under policy and fully logged. Sensitive workloads stay local and burst to cloud when appropriate: a balanced approach.
Best for: teams that want frontier capability without exposing sensitive data.
External
Managed models with nothing to run yourself. The fastest, lowest-overhead path when data sensitivity allows. Fully cloud-hosted: fastest deployment, lowest infrastructure.
Best for: non-regulated workflows where speed and low overhead win.
We help clients choose the deployment model that fits their business, data, and compliance requirements.
Your data stays on your infrastructure.
Architecture diagram and a one-page FAQ available on request.
Want the architecture for your environment?
We'll walk your security and infrastructure teams through the private, hybrid, and air-gapped options, and how WCG Private AI solutions run inside your perimeter.
Discuss your first workflow.
We'll cover where your data lives, what gets logged, and which architecture fits your compliance requirements. A senior person reads every note, and you hear back within one business day.
Not ready to talk? The Operator's Guide to Practical AI covers how to scope, de-risk, and measure a first AI workflow without losing control of your data. Get the guide →
