From the team behind scikit-learn, the world's most widely used predictive modeling library.
Standardize scikit-learn best practices, certify your consultants, and de-risk delivery with expert support from the scikit-learn ecosystem.

Consulting firms use Probabl to standardize skills, reduce delivery risk, and support high-stakes engagements.
"Thanks to this partnership, we can scale AI projects while meeting the highest standards of rigor, performance, and transparency.”

“Working hand in hand with the scikit-learn team, the most famous data science library, is a strong recognition of the quality of our data science teams and of our commitment to spreading the data knowledge with the Artefact School of Data”



Three complementary ways to standardize delivery, reduce risk, and scale machine learning across your teams.

When you need a clear, shared signal for staffing and proposals:
• Hands-on and theoretical evaluation on real ML work
• Clear skill levels for staffing and proposals
• Recognized by clients and practitioners

When delivery risk is high and escalation matters:
• Expert helpdesk for delivery teams
• Escalation support during critical phases

When projects exceed your team’s current comfort zone:
• Co-delivery on high-stakes projects
• Temporary expert reinforcement
Fill out the form to share your organisation's needs, and we’ll get back to you.