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