Scaleout Systems Raises $1.5M in Seed Round to Revolutionize Federated Machine Learning Operations

We are excited to announce that Scaleout Systems has successfully raised $1.5 million in funding to further propel our mission of revolutionizing federated learning in machine learning operations (MLOps). With an innovative approach to leveraging distributed data, our company aims to eliminate the cost and risk traditionally associated with data pooling, making privacy-preserving machine learning readily accessible across industries. The newly secured capital will be pivotal in enhancing our flagship product, Scaleout Studio, a cloud-native platform designed to simplify the complexities of secure federated learning for data scientists while simultaneously scaling production capabilities. Scaleout Studio enables teams to collaborate on federated machine learning projects by conveniently defining models and managing client devices within a user-friendly interface. The platform’s customizable nature allows users to seamlessly integrate essential components as Helm charts and utilizes advanced open-source tools for model development and serving. With project-level multi-tenancy and granular object-level permissions, Scaleout Studio offers unrivaled flexibility to adapt to various organizational needs. Additionally, our solution is compatible across all standard Kubernetes clusters, whether deployed in public, private, or on-premise environments. This funding will assist us in further refining our technology and expanding our outreach to help organizations harness the power of distributed data responsibly and efficiently. For more information about our initiatives and offerings, please visit us at www.scaleoutsystems.com.