Governance, security, and privacy for federated ML

Make sensitive data available for ML without sharing. Ensure compliance. Commercialize data across boundaries. Enable federated learning.

Trusted by our customers & partners

Governance, Security & Privacy for ML in one package

Seamlessly deploy in any cloud 
and on-prem

Scale from 1 dataset 
to data ecosystems

Trace all aspects of computations

Work with any ML library and existing code

A gateway to data collaboration.

Deploy the Apheris Compute Gateway alongside your data. Bring ML and analytics computations to your data. Data never moves. Data is never directly accessible. Data value is always retained.

Security ensured. Privacy preserved.

360 degree protection for your data. Enterprise-grade authentication and authorization. Encryption in transit for secure communications and at rest. Detailed audit logs for traceability, governance and compliance. Human-in-the-loop algorithmic approval to minimize risk of reverse engineering of data.

Share results not data.

Apply computational governance on every data point. Define precisely who can execute which computation on your data. Comply with any regulation today and easily adapt tomorrow.

Unleash federated data potential

Across boundaries

Deploy the Apheris Compute Gateway alongside your data. Bring ML and analytics computations to your data. Data never moves. Data is never directly accessible. Data value is always retained.

Reduce costs

Reduce costs and increase speed of providing data and ML-powered products to customers

Remain compliant

Reduce risk and remain compliant while enabling computational access to sensitive data

Innovate and scale

Innovate and scale by building new data and ML-powered products

Integration ready

Integrate Apheris into your tech stack, including with popular ML frameworks. Use your proprietary data together with a foundation model to build new and improved ML-enabled products.

Use internally or to orchestrate data ecosystems

Internal data collaboration

Data partnerships

Multi-party collaboration

Build your own data ecosystem

Connect and scale

Connect to multiple gateways to federate learning over data that crosses organizational boundaries. Run on any cloud and on prem. Allow ML engineers to connect and scale workloads via a few lines of code.

How we fit in your stack

Apheris slots into your workflow and works well with the data sources, frameworks, libraries, and tools you already work with. Our Compute Gateway is your solution for governed, private, secure ML.

Securely working across organizational boundaries

Manufacturing

«With Apheris, we found the perfect partner for exploring privacy preserving data analytics and optimization along the value chain with our customers.»

Christian Winkler Director Global Infinergy Operations BASF

Want to productize your data assets?

Learn how you can commercialize your data and build new ML-powered products. Talk to us about governed, private, secure data access for ML.