Probabl raises €13M in seed funding to build Europe’s open source AI champion
Date:
Changed on 29/10/2025
At the heart of France's National Strategy for Artificial Intelligence (SNIA) 2030, Inria and Probabl joined forces in 2023 in an innovative public-private partnership combining academic research and industrialisation to develop and disseminate open source technologies and other digital commons for data science and AI covering the entire data cycle.
Probabl enables companies to regain control of their data science. Its mission: to transform fragmented, handcrafted machine learning into a reliable, traceable industrial process, where data science becomes a measurable competitive lever rather than an opaque asset.
This seed round gives us the firepower to propel Probabl onto the international stage. We are building a unique force in open source to help companies truly own their data science. Our mission is to transform machine learning from a black box into a transparent, reliable, and value-generating engine for every organization.
Yann Lechelle, CEO and co-founder of Probabl.
Because scikit-learn is already adopted by the overwhelming majority of data science teams, and enjoys established trust within the scientific and industrial communities, Probabl, as the official and exclusive operator of this reference library, is ideally positioned to remove barriers to industrial AI adoption and to accelerate its transformation into a concrete driver of performance.
Building on the unique expertise of the creators of scikit-learn, the company’s new product Skore will enable companies to turn their AI investments into measurable performance, by leveraging the full power of their data through proven, productive machine learning — well beyond the current hype surrounding GenAI.
According to Gaël Varoquaux, Co-founder of scikit-learn and Probabl, Scientific Advisor at Probabl:
With Probabl, we aim to extend the scientific and collaborative spirit of scikit-learn into industry. Our goal is to give companies the means to harness machine learning in a simple, responsible, reproducible, and sustainable way.
According to Matthieu Lavergne, Partner, Serena:
Serena firmly believes that open source software is the invisible infrastructure of the digital economy. Probabl perfectly embodies this new generation of Open Source champions, transforming a global scientific technology like scikit-learn into a world-class industrial offering.
According to Benjamin Roy, Chief Technology Officer, Capital Fund Management:
Data science and machine learning are at our core, and we believe that maintaining and developing successful alpha strategies requires a continuous investment in our technological capabilities. scikit-learn has been a key component at the core of our research and investment practices for more than a decade and we are excited that our investment in Probabl will not only advance a technology central to our business, but also a European project with global reach.
According to Bruno Sportisse, CEO of Inria:
The momentum behind Probabl — with which Inria has been involved from the very beginning — continues with a clear European and international ambition. It reflects the vitality of our public and private AI ecosystem, which the national AI strategy has been strengthening since 2018 through innovative public policy tools and new forms of public-private partnerships.
According to Bruno Bonnell, Secrétaire général pour l’investissement France 2030:
Probabl is a concrete illustration of the ambition behind France 2030: to turn scientific excellence into industrial success. With the most consequential investments ever allocated to artificial intelligence in France, we support a company that combines sovereignty, sustainability, and openness.
This funding round marks a new milestone in the development of a European open-source software ecosystem — a cornerstone for more transparent, interoperable, and sovereign artificial intelligence.
It is fully aligned with the momentum driven by France 2030, which aims to turn French scientific excellence into global industrial success.