Munich-based ZenML secures $3.7M in seed funding. This extension is led by the leading European VC, Point Nine with follow-on from our existing investor Crane.
Joining the investment round are noteworthy figures such as D.Sculley, CEO of Kaggle, Harold Giménez, SVP R&D at Hashicorp, and Luke de Oliveira, ex-Director of Machine Learning at Twilio. This isn’t just a win for us; it’s a win for everyone who believes in making MLOps simpler, more flexible, and 100% more robust.
Machine learning is fantastic, but implementing and maintaining it in production can be tough, to say the least. Whether it’s vendor lock-in, high costs, or tools that don’t play nicely together, the list of obstacles can get long. That’s where ZenML comes in.
We’re in this game to streamline your MLOps life, giving you more time to focus on what really matters: creating and providing the foundation for you to create and deploy valuable and useful machine learning models.
Securing this latest funding round, led by Point Nine, is like strapping a rocket to ZenML. It’s fuel for the exciting journey ahead. What’s on the horizon, you ask? Well, we’re rolling out ZenML Cloud.
It’s our managed service designed to meet the nuanced, and sometimes gnarly, needs of ML teams like yours. We’ve got some industry greats joining us on this adventure, and that means more expertise in our corner.
ZenML is an open-source, extending MLOps framework. It is designed to enable collaboration between data scientists, ML engineers, and MLOps developers as they work towards production.
ZenML is cloud- and tool-agnostic, has a simple, flexible syntax, and includes interfaces and abstractions that are tailored to ML workflows. In order to customise your workflow to meet your needs, ZenML combines all of your favourite tools together in one location.