Scaleout's cloud native platform, called Scaleout Studio, simplifies secure federated learning for data scientists and facilitates the scaling of federated machine learning in production. With Studio, teams can collaborate on defining federated models and manage clients and devices within the federation. The platform is highly customizable and supports leading open source tools for model development and serving. It can be deployed on any standard Kubernetes cluster, in public or private clouds, or on-premise hardware. Scaleout's solutions address data access challenges by allowing distributed data to be leveraged for machine learning without the need for pooling or sharing the data. The company originated as a spinoff from Uppsala University in Sweden and focuses on helping customers develop machine learning solutions when data is distributed across multiple locations or devices.