Governed, private and secure federation.
Enterprise-ready.
The Apheris Compute Gateway is a lightweight software agent that is installed next to where valuable data resides.
Securely connect to data that is distributed over boundaries. Data never moves.
Safely build models ranging from statistical queries to deep learning. All through a unified programmatic interface native with standard OSS tooling.
Govern, control and trace at the computational level.
Securely connect to data that is distributed over boundaries. Data never moves.
Safely build models ranging from statistical queries to deep learning. All through a unified programmatic interface native with standard OSS tooling.
Govern, control and trace at the computational level.
How it works
Using federation to safely connect data for analytics and ML
Computational governance
Data never moves
Control who can do what with which data, at the computational level
Full audit trail and logging capability
Control who can do what with which data, at the computational level
Full audit trail and logging capability
Seamless data science experience
Native integration of Open Source federation engines and standard ML tooling
Catalogue of pre-canned federated models from stats to deep learning + flexibility to define your own models via a programmatic interface
Connect any data type. Run any model.
Catalogue of pre-canned federated models from stats to deep learning + flexibility to define your own models via a programmatic interface
Connect any data type. Run any model.
Secure and enterprise grade
Low footprint and trusted deployment
Security and privacy baked in, end-to-end
Automated resource provisioning and deployment
Security and privacy baked in, end-to-end
Automated resource provisioning and deployment
A computational handshake
The Compute Gateway enables a straight-forward workflow fostering secure, private and governed collaboration with anyone.
Secure and private by design
Secure-by-design architecture
Logging & Monitoring
Network Security
Role-based access control
Homomorphic Encryption
Differential Privacy
Rounded & bounded privacy
Confidential computing
Embedded in the tech ecosystem
"Safeguarding sensitive hospital data is critical to ensure patient privacy and data security. Integrating NVIDIA FLARE with Apheris 3.0’s governance, security and privacy capabilities unlocks new possibilities to make a difference in healthcare and beyond.”
Holger Roth, Principal Federated Learning Scientist
NVIDIA
NVIDIA
Want to collaborate on distributed data?
Learn how to foster collaboration in a secure, private and compliant way. Talk to us about governed data access for analytics and ML.