Products
Alongside custom-built systems, some of the expertise we develop on projects goes into a ready-to-use product, which each client configures on their own document base.
Sovereign AI: data and model both stay inside your perimeter
MyGPT
MyGPT is a platform that combines a Large Language Model with RAG to answer in natural language from the organization's documents, instead of from the model's memory alone. It automates document search and gives access to answers grounded in company data, with the same source-traceability logic we apply on custom projects.
Why an internal system, not an external chatbot
The model runs inside your perimeter
Not just the documents: inference itself runs on self-hosted open-source models, on dedicated or client infrastructure. No request ever leaves the organization's perimeter to be processed by a third-party API — that's the difference between a private AI and a sovereign one.
Company knowledge never travels elsewhere
Every question, every document consulted, every answer generated stays on infrastructure you directly see and control — not on a generalist cloud service whose logs, policies or jurisdiction you have no visibility into.
No dependency on an external model provider
A generalist AI provider can change terms of use, pricing, service availability or data policies without the organization having any say. A sovereign architecture depends on none of those decisions.
A requirement, not a preference, in regulated contexts
For public administration, banks, insurers and critical infrastructure, data and model sovereignty isn't an optional technical choice: it's often the constraint a generalist public-cloud AI cannot meet.
What it does
Automated document search
Query the organization's document archive in natural language, without needing to know in advance where to look.
Answers grounded in company data
Answers are based on the document base the client configures, not on the model's general knowledge alone.
Customization
Tailored configuration for each organization's data base, use cases and specific constraints.
Integration with company cloud systems
Connects to the major cloud systems already in use, to build a private company data base without duplicating existing archives.
Deployment
Private cloud
The default deployment model: dedicated cloud infrastructure, with a private company data base kept separate from other clients', and a self-hosted model — no call to an external API to generate answers.
On-premise
For organizations with data-residency constraints that rule out the cloud: both data and language model run on the client's own infrastructure.
Each client's data and requests are not accessible to other clients and are not used to train the base models — the same data-governance rule we apply on custom projects.
Organizations of any size that manage large volumes of documents and want a natural-language entry point, without the development time of a custom-built system.