Answers with a cited source
Every answer points to the document and passage it came from. Verifiable before you act on it.
Service · Private AI
AI that knows your company, without your data leaving it.
RAG over your internal knowledge, deployed on-premise, in your private cloud or as a hybrid setup. The model answers with your information — and that information never changes hands.
The problem
Generic AI has no idea how your company works: it ignores your processes, invents policies and cites documents that don't exist. And the moment someone proposes feeding it the real documentation, the project stalls on the question nobody wants to answer: where does that information end up.
Our approach
We build a retrieval layer over your internal knowledge and deploy it inside the perimeter you already control. Answers are grounded in your documents and cite their source; the corpus, the indexes and the logs stay in your infrastructure.
Core capabilities
Deployment inside your perimeter
On-premise, in your private cloud or hybrid, based on how sensitive each source is.
Inherited permissions
Each person retrieves only what they were already allowed to read in the source system.
Ingestion of scattered sources
Documentation, contracts, tickets, intranet and databases in a single index.
Personal data masking
Sensitive information is anonymized before anything crosses the perimeter.
Traceability for audit
Query, retrieved context and answer are all logged for internal review.
The layers we define with you
- Retrieval engine
- Vector storage
- Inference server
- Orchestration
- PII masking
- Permission control
- Observability
Frequently asked
Does my information leave the company?
No. The corpus, the indexes and the model run inside the perimeter you define: your datacenter, your private cloud, or a hybrid setup where sensitive data never crosses the edge.
Which stack do you use?
Whichever fits your infrastructure. Retrieval engine, vector storage and inference server are chosen during requirements gathering, not before.
Does it help if we already have internal search?
Yes. The retrieval layer can lean on the index you already run and add meaning-based search on top, without replacing it.
What happens when the system doesn't know something?
It says it couldn't find it in the available sources. We prefer an empty, traceable answer over an invented one.
Let's see whether private AI fits your case
We review your sources, your regulatory constraints and the infrastructure you already have.
06 — Contact
We start with a 45-minute technical session.
No endless form. Tell us briefly about the challenge and we will book a call. If it is not a fit, we say so.