Leverage siloed, business sensitive and regulated data in your machine learning pipelines.
Our vendor agnostic platform lets you develop regulatory compliant solutions for computer vision, predictive maintenance, anomaly detection and more, without sharing and moving data.
Clients & Collaborations
Data in the Enterprise is increasingly distributed over multiple locations or devices. Pooling this data for machine learning is often not possible for regulatory or practical reasons.
Scaleout's software platform equips your team with a flexible and secure federated learning stack that integrates seamlessly with modern MLOps toolchains.
At Scaleout our mission is is to greatly reduce security risks in industrial machine learning by making the most promising privacy preserving technologies accessible as production-grade cloud native services.
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 using highly scalable federated learning.
Improve security in machine learning
Scaleout platform reduces risks in AI projects by removing the need for copying and moving datasets for model training. We also provide access control for model endpoints.
How does Federated Learning with Scaleout work?
Get started developing FL solutions today using our open source framework FEDn. Develop solutions for computer vision, NLP, fraud detection and more, with world-leading scalability and resilience.
The Scaleout community is focused on decentralized AI and federated learning.
Our focus is on solving decentralized AI problems using the open source project FEDn, but other related projects and subjects are also discussed.
