Apheris provides governance, security, and privacy for federated machine learning, allowing sensitive data to be used for ML without sharing and ensuring compliance.

Key Features:

• Seamlessly deploy in any cloud and on-prem
• Scale from 1 dataset to data ecosystems
• Trace all aspects of computations

Use Cases:

• Internal data collaboration
• Data partnerships
• Multi-party collaboration

Benefits:

• Reduce costs and increase speed of providing data and ML-powered products to customers
• Remain compliant while enabling computational access to sensitive data
• Innovate and scale by building new data and ML-powered products