::
::
10110
=>
//
&&
{}
<>
11001
11001
{}
01
=>
<>
11001
0x4F
{}
::
//
//
Generative AI

Generative AI, wired into your business data

We integrate LLMs into your apps, ERPs and tools: RAG chatbots grounded in your data, business assistants, content generation. Custom-built, in production, hosted in Europe.

What we build

Not demos: AI features in production, integrated with your existing systems.

RAG chatbots and assistants

A conversational assistant that answers from your documents and data, not generic knowledge. RAG grounds responses in your context to limit hallucinations.

Document processing

Automatic extraction, classification and summarisation of documents — quotes, contracts, spec sheets, emails. The AI reads and structures what your teams keyed in by hand.

Content generation

Producing product listings, descriptions, answers or reports from your real data, pushed straight into your tools. Specific and usable, not interchangeable.

Integration into your apps

AI is added to your existing app, ERP or CRM via API, without replacing everything. It becomes a building block of your system, not one more separate tool.

Reliability and guardrails

Grounding in your sources, human checkpoints, logged responses. AI you can put into production because you know what it does and why.

Sovereignty and GDPR

European hosting, data that stays with you, sovereign models where required. GDPR compliance and EU AI Act readiness built in from the design stage.

Who it's for, what for

You have data and processes, and you want AI to add concrete value to them — without giving up control of your data or depending on a black box.

  • Internal assistant on your data

    Your teams query documentation, procedures and company history in natural language.

  • Document automation

    Reading, sorting and extracting data from incoming documents, to remove manual entry.

  • Augmented customer support

    An assistant that answers recurring questions from your real knowledge base, and hands off when needed.

  • Search and synthesis

    Semantic search across large document sets, with sourced, verifiable answers.

Our approach

RAG over fine-tuning by default

We ground the model in your data — simpler to maintain and keep current.

Model of your choice

OpenAI, Claude, Mistral or a sovereign model per your constraints.

Human-in-the-loop

A human checkpoint where the stakes call for it.

European hosting

Your data stays in Europe, under your control.

Integrated with the existing

A block of your system, not another tool.

Technologies

The models and building blocks we assemble to fit your use case and sovereignty constraints.

OpenAIAnthropic ClaudeMistral AILlamaRAGEmbeddingspgvectorQdrantLangChainLaravelNode.jsVue.jsHébergement UE

Frequently asked questions

What people ask before starting a generative AI project.

By grounding answers in your data through RAG: the model does not answer from memory, it relies on your documents and cites its sources. We add guardrails and human checkpoints wherever an error is costly.
In the large majority of cases RAG is enough and the simplest to maintain: we connect an existing model to your data. Fine-tuning is only justified for very specific style or format needs. We decide by your case, not by principle.
Your data stays yours and is not used to train a third-party model. We favour European hosting and, where sovereignty requires it, models deployable on infrastructure you control. GDPR compliance is built in from the start.
Yes, that is the point: AI is added to your tools via API rather than replacing them. We connect AI features to your existing system so they fit into your current flows.
It depends on the sensitivity of your data and your obligations. For many projects a model hosted in Europe is enough; for the most sensitive data, a sovereign model deployed on your infrastructure is an option. We qualify that need upfront.
A first targeted RAG use case usually reaches production in a few weeks. We favour a fast release on a precise scope over a long project with no visible result.
MPWB

Have an AI use case in mind?

Let's talk. We'll tell you plainly what is feasible, with which approach and on what timeline — without overselling AI.

Response within 24h 100% confidential No commitment