Training and community
Short tutorials, replays and a community of 450 professionals on Skool. Free to join: you take what serves you and apply it the same day.
Join for free →We put AI to work
inside real trades.
Institut IA is a training centre and a research lab. We teach professionals to use AI on the work they actually do, we build tools with their teams on site, and we show — live, on stage — what AI already changes in their trade.
Short tutorials, replays and a community of 450 professionals on Skool. Free to join: you take what serves you and apply it the same day.
Join for free →We come to you and build tools with your teams, on your real cases. Four steps, from analysing what you have to your teams working on their own. Priced on request.
Request a quote →No theory slides. Real cases, handled live, in front of the room. Twenty-five talks delivered in 2024 for professional federations and boards.
Book a talk →Our job-specific AI tools — for construction, real estate, technical project management and public funding — are built on French regulations and standards, and are sold in French only. If you work in another market, tell us what you need: that conversation is the honest starting point.
The AI built by our lab gives the same answer to the same question, never invents what it doesn't know, and shows where every decision comes from.
Credibility comes from the field,
not from vocabulary.
Xavier Jaffray, founder of Institut IA. Twenty-five years of innovation through action — Toyota, then running the world's largest lighter production site at BIC at 27, then a 400-person construction group and nine timber modular factories.
AI came after the building site, not before. That is the difference between talking about a trade and knowing it.
Lean and AI for construction: steady flows, fewer surprises, reliable margins, and AI brought in without losing control. In French.
On the end of bullshit jobs, and how AI can put meaning, reality and people back at the centre of work. In French.
Thirty minutes to find out whether we can be useful to you — and to tell you plainly if we can't.