Controlled confidentiality
Documents, prompts and answers stay within a perimeter chosen for your security and sovereignty requirements.
Private LLM for business
Deploy a private LLM and keep control of your data
Answers grounded in sources
Document retrieval and citations connect answers to the information actually available to the system.
A clear cost model
We compare private cloud, VPC and local deployment based on volume, latency, maintenance and required control.
Who it is for
A response to a concrete need
Businesses that want to use internal knowledge while keeping control of sensitive data.
We adapt the scope to your organisation’s maturity: a focused pilot can validate value before you scale it.
Deliverables
- Target private-cloud, VPC or local architecture
- Secure connection to document sources
- Evaluation set based on real questions
- Quality, cost and latency monitoring
Our approach
From idea to a product people can use
01
Qualify the data
We identify sources, access rights, freshness and information that must not be exposed.
02
Choose the architecture
We compare models, RAG, VPC, on-premise and managed services for your context.
03
Test the quality
A set of real questions measures relevance, hallucinations, latency and cost per request.
04
Secure production
We add observability, access control, logging, evaluations and human fallback mechanisms.
Frequently asked questions
What to know before getting started
Does a private LLM have to run on our own servers?
No. A VPC or private cloud can provide an appropriate level of control without managing all infrastructure locally.
Can we use an open-source model?
Yes, when its quality, operating cost and maintenance constraints fit the use case.
How do we avoid invented answers?
Evaluate the system on real cases, restrict sources, show available evidence and require human review for sensitive decisions.