Production-level pipeline for your data science

Harness the power of algorithms with a frictionless deployment process

Data exploration at your fingertips

  • Explore

    Instant exploration through our notebook built on Apache Zeppelin with pre-loaded packages

  • Integrate

    Simple integration with components for exporting paragraphs as custom ETL actions

  • Scale

    Scale up or down without redeployment or waiting time for your notebook


of data science projects never get fully deployed


of data scientists report dirty data as their main challenge


of a data scientist’s time actually spent on refining algorithms

Model management engineered for deployment

  • Deployment-ready

    Models can be pushed as independent APIs linked to the DataPlant’s access rights

  • Open

    Leverage existing work via multiple integrations or use industry-standard frameworks

  • Comprehensive

    Serve the whole value chain from training and feature engineering to scoring

Our ML killer features


Open and integrated with frameworks and ML-standard best practices


Deploy immediately on a flexible and scalable infrastructure

One environment

Manage training and scoring from a user-friendly interface for technical and newbies

Ready to get started?

Join now