About us

From Mecklembourg with love

The more attentive will have guessed it — Meck’IT takes its name from the Mecklenburg region (Schwerin).

But behind this geographical nod lies a clear ambition: to continue a path started more than twenty years ago — one of excellence within a Franco-German environment.

Cartographie Europe

The ups and downs of “fortuitous” encounters

The encounter with data was anything but linear.

It was shaped by a strong interest in modelling, nurtured at the École Normale Supérieure (rue d’Ulm) and the Paris School of Economics.

Then came a first turning point: joining the IT leadership of a large French group based in Germany.

This is where the link between statistics, information systems, and real-world applications became concrete.

The following years were dedicated to practicing data science across a variety of contexts: banking, industry, IoT, technical environments, and executive committees.

Meck’IT works !

This experience led to a simple conviction: data only has value when it is designed as a complete system.

This is the foundation of Meck’IT’s full-stack approach.

We always start from business meaning — what the organisation is truly trying to understand or decide.

We then co-build the entire data value chain:

  • Infrastructure: how data is moved, stored, and made accessible
  • Models: how it is structured, analysed, and turned into intelligence
  • Governance: how it is secured, trusted, and shared
  • Use cases: how it concretely transforms decision-making

This approach is not just technical integration. It is a way of connecting concept and execution without any break.


Based in a unique environment — between a UNESCO World Heritage city, a landscape conducive to reflection, and close proximity to major metropolitan areas such as Hamburg and Berlin — Meck’IT embraces a certain idea of work: demanding, structured, yet always grounded in reality.


Because this is where everything comes together.

Mastering data is not only about automating processes. It is about understanding a system as a whole, contextualising it, and building solutions that make decisions more accurate, reliable, and useful.