The AI Control Plane

ZenML offers the capability to build end-to-end ML workflows that seamlessly integrate with various components of the ML stack. This enables teams to accelerate their time to market by bridging the gap between data scientists and engineers.

Harold Gimenez

SVP R&D at HashiCorp

ZenML allows orchestrating ML pipelines independent of any infrastructure or tooling choices. ML teams can free their minds of tooling FOMO from the fast-moving MLOps space, with the simple and extensible ZenML interface.

Richard Socher

Former Chief Scientist Salesforce and Founder of You.com

ZenML allowed us a fast transition between dev to prod. It's no longer the big fish eating the small fish – it's the fast fish eating the slow fish.

François Serra

ML Engineer / ML Ops / ML Solution architect at ADEO Services

Many teams still struggle with managing models, datasets, code, and monitoring as they deploy ML models into production. ZenML provides a solid toolkit for making that easy in the Python ML world.

Chris Manning

Professor of Linguistics and CS at Stanford

Thanks to ZenML we've set up a pipeline where before we had only Jupyter notebooks. It helped us tremendously with data and model versioning.

Francesco Pudda

Machine Learning Engineer at WiseTech Global

ZenML allows you to quickly and responsibly go from POC to production ML systems while enabling reproducibility, flexibility, and above all, sanity.

Goku Mohandas

Founder of MadeWithML