Teams and employees: https://probabl.ai/about
Open-source
https://probabl.ai/open-source
- ~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
Product & Engineering
https://probabl.ai/product
- ~10 members managed by the CTO
- Work-in-progress open-source Python library:
skore
- A hub around skore will be built and commercialized for teams of data scientists (while skore itself will remain open source).
Professional services
https://probabl.ai/services
- 5 members
- Kind of like a consulting firm
- As of November 2024: mostly based on Knowledge Graphs due to historical focus of https://www.mnemotix.com/, machine learning missions in progress
Training & Certification
https://probabl.ai/services
- 3 members including the COO (François) and the core maintainer of the scikit-learn documentation (David Arturo)
- Official scikit-learn certification: https://certification.probabl.ai