Teams and employees: https://probabl.ai/about
Probabl one pager
Labs (Open-source)
https://probabl.ai/labs
- ~10 members, mostly from the core maintainers of scikit-learn historically at Inria Saclay
- The link includes the list of open-source Python libraries that we support & help maintain: there is not only scikit-learn, but also skrub and imbalanced-learn for example!
- Partly funded by sponsorships: https://scikit-learn.probabl.ai
#ai #machinelearning #datascience #opensource #innovation #leadership | :probabl.
Read more about why our open source team is now called labs.
Product & Engineering
https://probabl.ai/skore
- ~10 members managed by the CTO (Camille)
- Skore Lib publicly launched on January 22, 2025 → open-source Python library called
skore
- Skore Hub, with a private release on May 20, 2025
- A hub around Skore Lib is being built and will be commercialized for teams of data scientists (while Skore Lib itself will remain open source).
- As of May 20, 2025, Skore Hub is available as a MVP and you can subscribe to our early access program to try out our platform for free.
Professional services
https://probabl.ai/services
- 4 members
- Kind of like a consulting firm
- As of June 23, 2025: mostly based on Knowledge Graphs due to historical focus of https://www.mnemotix.com/, machine learning missions in progress
Training & Certification
https://probabl.ai/skolar