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Artificial intelligence

AI that serves your business, not the other way round.

An engineer with an Artificial Intelligence specialisation since 1993, I now work with generative AI every day: I train, scope, prototype and deliver tools that run in production — with constant attention to data sovereignty and GDPR.

The offer

Five ways to take action.

Recent work

Tools that run, not slides.

A few recent projects, presented anonymously.

The method

Concrete results at every step.

  1. 01

    Understand

    Your business, your pain points, your data, your regulatory constraints. No solution before the problem is understood.

  2. 02

    Scope

    Prioritised use cases, a clear perimeter, measurable success criteria and a controlled budget.

  3. 03

    Prototype

    A working prototype, tested by real users on real data, within a few weeks.

  4. 04

    Industrialise

    Production rollout, security, compliance, documentation and skills transfer to your teams.

Why Squitel

AI, long before the wave.

My engineering degree included an Artificial Intelligence specialisation, back in 1993 — long before generative models arrived. Thirty years of systems engineering, electronics and project leadership have taught me what separates an appealing demo from a tool that holds up in production.

I use these tools every day to design and deliver my own projects. I talk about what I practise, not what I have read.

  • Vendor-independent: I recommend what suits you
  • Dual technical and project-management culture
  • High standards on sovereignty, security and compliance

A use case in mind, or simply a question?

A first conversation is often enough to tell what is mature, what is promising and what is just hype. Let’s talk, no strings attached.