Leverage distributed data for machine learning without the cost and risk of pooling data. Scaleout brings federated learning to MLOps. Our software platform lets you develop privacy-preserving solutions for computer vision, natural language processing, anomaly detection and more. Scaleout Studio is a cloud native platform for federated machine learning operations with two main goals: To 1) reduce the technical complexity of secure federated learning for the data scientist, and 2) to scale federated machine learning in production. Your team collaborates in Studio-projects to define the federated model and are then able to add and manage clients and devices in the federation. Studio is highly customisable, just add the components you need as Helm charts. We collect the leading open source tools for model development, collaboration and model serving, and provide them out of the box with project-level multi-tenancy and object level permissions. Studio runs on any standard Kubernetes cluster, and can be deployed in any public or private cloud and on on-premise hardware.