Private AI Infrastructure
Not every task needs the same model or infrastructure. Cortex can route routine work to private local models, use traditional automation where AI isn't necessary, and call powerful cloud models when a task requires them. The goal is the best balance of privacy, reliability, performance, and cost.
Fast to start. Fine for many workloads. You do not need a server room on day one.
Dedicated hardware you own or control. More privacy, more predictability, and more stable costs for work that runs continuously.
Usually the practical answer. Local for routine jobs. Cloud when the work needs more. Rules when AI is not needed at all.
We design the architecture around privacy, performance, reliability, and cost — not around a specific model provider.
More of the stack sits on infrastructure you own.
Sensitive records can stay closer to the shop.
Reduce variable inference costs for high-volume workloads.
A hard reasoning job can still go to a capable cloud model.
Cloud, private, or mixed. We'll say which fits your workloads, privacy needs, and cost.