Your information does not have to leave your company
There are industries where the argument is neither cost nor accuracy: the data simply cannot leave. For those, the whole system runs inside — model, index and application — on your hardware and under your rules.
Running inside your infrastructure
Open-source models deployed locally: Ollama, vLLM and quantisation so they run on reasonable infrastructure. Technical foundation on SUSE, our alliance for virtualisation, hyperconvergence and local AI.
The middle path
It does not have to be decided on day one. The architecture is designed from the start to support the change.
Start in the cloud
Validate the use case fast and cheap, without committing hardware before knowing it works.
Move to local
Move the system in-house without rewriting the build, once the case is proven and volume justifies it.
Where it matters most
Financial services, healthcare, government and any operation audited on data handling.
What is delivered
Model, vector index, API and application, with operating procedures and internal team training.
Does this apply to you?
Half an hour of conversation is enough to find out. If it does not apply, we will tell you.