ZenML, a Munich, Germany-based creator of an extensible open source Machine Learning Operationalization (MLOps) framework for data scientists, raised $2.7m in seed funding.
The round was led by Crane Venture Partners with participation from Richard Socher, Pieter Abbeel, Jim Keller, Dirk Hoke, Nicolas Dessaigne, Carsten Thoma, and others.
The company will use this funding to build out the tooling suite in the open and expand its team of the world’s leading ML technologists.
Co-founded by Adam Probst and Hamza Tahir, ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a flexible syntax, is cloud and tooling agnostic, and has interfaces/abstractions that are catered towards ML workflows.
The framework is available as a lightweight Python library that lets data scientists express their ML workflows as pipelines.