Research rigour.
University pedagogy.
Real-world standards.

We bring our academic expertise to organisations — method, hypotheses, rigour, willingness to question — whether in training, solution design or strategic transformation.

What AI projects usually lack is not ambition. It’s the right articulation.

Many organisations want to move forward on AI, but hesitate between training, testing, framing or building. The result: scattered initiatives, low visibility, rarely sustainable.

01

Teams lack the right foundations

Without shared understanding and concrete reference points, AI remains abstract or poorly used in day-to-day work.

02

Business needs don’t get turned into real solutions

Between the idea and a useful tool, you need modelling, design and execution capabilities that few players actually combine.

03

The overall direction stays unclear

Without clear prioritisation, governance and a deployment vision, AI initiatives pile up without producing any structural impact.

Three founding pillars, one single standard.

GrewIA is built on three inseparable pillars, driven by one conviction: academic excellence must serve organisations — with rigour, clarity and concrete results.

Pillar I — Research
01

Academic expertise & custom solutions

We approach every engagement as applied research: formulate hypotheses, choose the right method, test, challenge what doesn’t work, and deliver defensible results. Whether it’s a report, a study, a model or an AI tool — the standard never changes.

Pillar II — Training
02

Accessible & demanding training

GrewIA is founded by two university professors, each with extensive teaching and research experience. We make even the most complex concepts accessible to all profiles — without ever sacrificing rigour.

Pillar III — Transformation
03

AI transformation support

We help organisations define and drive their AI journey: diagnosis, opportunity identification, prioritisation, governance and deployment.

A simple logic: train, prove, structure.

We move organisations forward by combining pedagogy, concrete experimentation and lasting structure.

Our method

Aligned teams, proven use cases, a clear roadmap.

1
Build team capabilities
2
Identify the highest-value needs
3
Design and test credible solutions
4
Structure the framework and priorities
5
Deploy and scale

They trust us.

We work across very different contexts, always with the same standard of clarity, seriousness and concrete usefulness.

STATEC Digital Learning Hub UNICEF Luxembourg INCCI ADEM Garrett Motion TransSport CHL Noelse ACF Casa Container Renouveau 88 Amiante Environnement STATEC Digital Learning Hub UNICEF Luxembourg INCCI ADEM Garrett Motion TransSport CHL Noelse ACF Casa Container Renouveau 88 Amiante Environnement

A few recent projects.

Some engagements are about training, others about modelling or decision support. All share a genuine standard of rigour and a focus on concrete impact.

GrewIA AI Training Training

AI training for professional audiences

Design and delivery of training programmes enabling professional audiences to understand AI, master its practical uses and integrate it meaningfully into their work.

INCCI project Custom solution

Activity forecasting & decision support

Development and validation of a statistical model to project future activity and inform planning decisions in a high-stakes environment.

Garrett Motion project Industry

Probabilistic analysis of a critical risk

Simulation of particle movement in a vibrating environment to estimate critical failure scenarios on a complex electronic system.

Experts who can train, build and advise.

At GrewIA, the promise is embodied by people who combine scientific depth, pedagogical skill and a grounded understanding of organisations.

Christophe Ley

Christophe Ley

University professor, internationally renowned statistician. Co-founder of GrewIA. Over 15 years of research and teaching experience. Expert in statistics and modelling, recognised worldwide for making complex topics accessible without watering them down.

Ivan Nourdin

Ivan Nourdin

University professor, specialist in mathematics and artificial intelligence. Co-founder of GrewIA. Over 20 years of research and teaching experience at the intersection of mathematics and AI.

GrewIA collective

The GrewIA collective

A network mobilised as needed: data science, AI, modelling, development, training, facilitation and strategic support.

Contact

Let's talk training, custom solutions or AI strategy!

Looking to train your teams, develop a tailored solution or clarify your AI strategy? Let's discuss your context, constraints and priorities.

contact@grewia.lu
Échange avec GrewIA