Five years living AI every day.
We founded a consultancy to make it useful.
Olixid is three AI engineers who built the firm alongside their degrees. We founded the firm in 2023, started a student consultancy in 2024, and worked with dozens of clients. Because AI is happening now.
Three profiles. Shared responsibility.
We met at EPITA, built the student consultancy together, and decided to keep going. We can all scope a project, code an agent, or present a diagnostic to a board. That's how we work.
Co-FounderLouis Romain
I kept seeing SMEs sold dreams by people who had never shipped anything to production. Olixid is the answer.
He founded Olixid in 2023, aged 20, still a student at EPITA. Not on a whim: an early, clear-eyed read on the gap between what AI is sold as and what actually holds up in production.
Co-FounderGuillaume Rodriguez
What interests me is how a business actually works. That's the only place AI has any value.
First to join Louis, early 2024. Together they founded the student consultancy and structured the first offerings. What drives him: understanding how a business actually works, to integrate AI right where it matters.
Co-FounderQuentin Gillet
The bridge between tech and business is exactly where AI projects are won.
Joined in 2025 after a string of student consultancy missions. Dual degree in AI engineering at EPITA and management at EM Lyon. The profile that bridges tech and business.
We don't come from a big consultancy. And that's a good thing.
No slides inherited from a Big Four, no licensed methodology. An engineering school, a student consultancy built from scratch, and real clients from day one.
2021
Three students in the AI track
We met at EPITA. Same class, same track, same obsession: understanding how these models actually work — not just using them. While generative AI was exploding, we spent our nights taking it apart.
2023 — 2024
Olixid, then the student consultancy
In 2024, we founded EPITA's AI student consultancy. Not a student club: invoiced clients, signed contracts, deliverables in production. We learnt to sell, to deliver, to manage clients who expect results — and to fix our own mistakes. The field is what trained us, far more than any lecture.
2025 — 2026
The firm, full time
Graduating in 2026, we take the firm full-time. The same standards as the student consultancy, but without a safety net: every engagement counts. And still that daily watch on what AI can — and can't yet — do.
Timeline
- 2021
Enrolled at EPITA, AI track
- 2023
Louis founds Olixid
- 2024
Guillaume joins · Student consultancy founded
- 2025
Quentin joins · The firm takes shape
- 2026
AI engineering degree
We solve problems with AI. That's what drives us.
“AI is the next revolution in computing.”
The web changed everything 25 years ago. Commerce, services, the way we work. AI will do the same. We didn't get to be part of the first revolution. We decided to be actors in this one, and help businesses do the same.
“Humans must remain at the centre.”
We make room for what matters. We remove repetitive tasks, manual processing, wasted hours. So people can focus on what they do best. AI makes work better. That's why we do this.
“It's far more complex than it looks.”
Everyone thinks AI means plugging in a model and it works. In reality there's poorly structured data, fragile prompts, hallucinating models, runaway costs. We've spent five years learning these pitfalls. That's why we exist.
SMEs are the ones with the most to gain.
Large corporates have 50-person data teams. SMEs operate without that luxury. Yet an AI agent that processes orders or a visual quality control system changes the game from month one.
The real problem is that AI looks simple. Everyone promises results in two clicks. In reality, without proper guidance, it's the fastest way to burn: wasted budget, unused tool, frustrated team. We're here to make sure you succeed from day one.
If AI isn't the right answer to your problem, we'll tell you. Every euro invested must produce a visible return.
Structured enough to have processes worth automating. Agile enough for it to change everything.
A tool your teams actually use within 4 to 8 weeks. Visible progress, never a tunnel project.
