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.

→ Discover the GrewIA method

The GrewIA AI transformation support method

A progressive approach, rooted in the field. Successful AI projects don't start with technology or tool purchases. They start on the ground, with the people who do the work.

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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.

Noelse × GrewIA partnership AI diagnostic & transformation

Noelse support mission

Transformation engagement for Noelse, a fast-growing fintech (Paris, Angers, Luxembourg). Phase 1: two days of field immersion, 15 team interviews, pain-point mapping, AI use-case prioritisation (quick wins and structural projects). Phase 2: AI hackathon to give teams a first hands-on experience of building with AI. Phase 3: ongoing support to embed AI practices, upskill teams and evolve the roadmap as the organisation learns.

MGF study Luxembourg – UNICEF Study & publication

First prevalence estimate of FGM in Luxembourg

In partnership with UNICEF Luxembourg, GrewIA produced the first quantified estimate of female genital mutilation prevalence in Luxembourg: approximately 2,200 women affected and 1,100 girls at risk. A rigorous statistical methodology — inspired by a similar study conducted in Belgium — to make the invisible visible, and give public decision-makers a reliable basis for action.

They talk about us.

Chronicle.lu
Chronicle.lu · 21 Apr. 2026

Unicef Study Highlights 1.1k Girls at Risk of FGM in Luxembourg

Chronicle.lu reports on the UNICEF Luxembourg FGM study, co-produced with GrewIA. Around 1,100 girls aged 0–19 are estimated to be at risk of excision in Luxembourg.

Read the article →
L'essentiel
L'essentiel · 21 Apr. 2026 (in French)

Female genital mutilation: 1,100 girls at risk in Luxembourg

L'essentiel covers the UNICEF FGM study in Luxembourg. According to the estimates, 1,100 girls are at risk and 2,200 women have likely already been affected.

Read the article →
RTL Today – UNICEF Luxembourg press conference
RTL Today · 21 Apr. 2026

UNICEF Luxembourg Publishes First Study on Female Genital Mutilation

RTL Today covers the release of the first UNICEF Luxembourg study on FGM, co-produced with GrewIA. Over 3,300 people are estimated to be affected in Luxembourg.

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University of Luxembourg
University of Luxembourg · Jan. 2025 (in French)

The education of the future: entrepreneurs rise to the AI challenge

The University of Luxembourg highlights GrewIA among the start-ups transforming education through AI, with concrete solutions to modernise teaching practices.

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Virgule.lu – Ivan Nourdin
Virgule.lu (in French)

« AI takes us somewhere — it's up to us to choose the destination »

Interview with Ivan Nourdin on the societal stakes of AI. He explains why the technology decides nothing on its own — the direction is always ours to choose.

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RTL Today – Christophe Ley
RTL Today

Five Common Statistical Mistakes

Christophe Ley, GrewIA co-founder, walks through five frequent statistical errors and how to avoid them — a clear-headed look at the biases that too often distort data interpretation.

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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
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