Secure Federated Learning
Our technology enables you to connect data silos or edge devices into secure, managed ML federations.
Unlock private, distributed data
A key challenge in machine learning is access to training data. In the Enterprise, the most valuable data can often not be pooled in a central cloud for regulatory or practical reasons. By leveraging data distributed in many data silos, or over large numbers of devices, better predictions can be achieved. Scaleout's software platform builds on federated learning and lets you develop AI solutions without the security risk of centralising data and predictions.
Remove regulatory barriers in ML
Enable collaboration between organisations and subsidiaries by removing regulatory barriers to data access (GDPR, sensitive data).
Reduce latency and cost in EdgeAI
Train models and make predictions directly on edge nodes and devices. Avoid costly data transfers to a central cloud (IoT, connected vehicles).
Improve data privacy and security
Scaleout platform reduces risks in AI projects by removing the need for copying and moving datasets for model training.