Question 1

How is a private AI system different from ChatGPT or a public cloud API?

Accepted Answer

Public AI tools send your prompts and documents to someone else's cloud, under someone else's jurisdiction.

Lenouar runs the models inside your own environment, so your data stays under your control and never has to leave your network.

Question 2

Where does our data go? Does anything leave our network?

Accepted Answer

With an on-premise deployment, inference runs on your own hardware and nothing is sent to an external API.

You decide exactly what, if anything, is ever allowed to leave your perimeter.

Question 3

Do you provide the hardware, or do we?

Accepted Answer

Both options are supported. We can supply and install a preloaded AI appliance on your premises, or deploy onto hardware you already own.

Either way, the stack is installed, configured, and supported by us.

Question 4

Which models can run on-premise?

Accepted Answer

We serve localized open models (such as Llama-family models) with vLLM, tuned for your languages and domain.

Models can be updated or swapped as stronger open models become available.

Question 5

How do you handle regulatory compliance requirements?

Accepted Answer

Compliance is built in: control-mapped workflows, automatic audit trails, and evidence capture that stand up to inspection.

This makes it easier to demonstrate conformance during audits rather than scrambling after the fact.

Question 6

Can it integrate with our existing systems?

Accepted Answer

Yes. The platform connects to EHR/EMR, ERP, document stores, and internal APIs, with new connectors added regularly.

Agents and copilots work inside the tools your teams already use.

Question 7

Can we start small and scale later?

Accepted Answer

Yes. Many organizations begin with a single use case or a hybrid setup: local for sensitive tasks, cloud for heavy reasoning, then expand from there.

You control what runs where, and scale as confidence grows.

Frequently asked questions