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Explore the Apheris Platform
Build, deploy, and operationalize data applications and AI across organizational boundaries with our secure and scalable Federated Data Platform.
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Privacy
Access and share insights while keeping proprietary information private. Data never leaves your secure environment and all computations are executed locally.
Security
Leverage our federated architecture and highest security standards, proven capable of protecting enterprise-grade datasets belonging to the world's largest organizations.
Compliant & Traceable
Use our streamlined frameworks and processes to accelerate time-to-market and ensure regulatory compliance. We'll provide traceability of all statistics and ML operations to ensure trusted collaboration.
Scalable
Designed for enterprise data processing with the ability to support cloud, multi-cloud, and hybrid environments, we are equipped to meet your needs now and in the future.
Governable
Designed to fulfill clear requirements on data sovereignty and data ownership for all participants of the ecosystem.
How It Works
Innovate on powerful, collaborative insights while keeping sensitive data safe and secure.
Data provider creates nodes in their environment
Secure nodes are isolated in confidential environments where data always stays protected. Sensitive data never leaves its secure environment and all data science computations happen exclusively within it.
Data provider registers data
Select a set of files to add to a workspace and describe data to understand the scope and origin. Add or generate representative test data to enable third-parties to explore your data in a privacy-preserving manner.
Data provider creates asset policies
Data providers are in full control of their data. Create asset policies, including access permissions, to define who has access for what purpose.
Data consumer explores available data
Use metadata, representative test data, and privacy-preserving statistics computations to explore data characteristics and build computations to test locally.
Data consumer begins to conduct data science experiments
Computations are orchestrated across selected datasets while data stays protected in its node and our proprietary Privacy Guard enforces specific privacy requirements. Node results are then aggregated and returned to the data consumer.
Data consumer unlocks insights
Retrieve the results from the computation and analyze to generate powerful business insights.
Trusted by our customers & partners
See the powerful potential of collaborative data ecosystems for your organization
We're creating globally impactful solutions, together.
Pharma
“Convincing data providers to share their data with us was extremely difficult, if not impossible. Now, within the secure federated architecture of Apheris, data never moves, and we only had to make minimal adjustments to our established data science workflows and infrastructure. We are now developing use cases that were deemed impossible before.”
Director Global Innovations Top-10 Pharma Company
Resources
Guide
Buyer's Guide to Secure Data Collaboration
Secure data collaborations with multiple parties are the next source of getting a competitive edge. However, only a few data leaders know what to look for to get projects going. This buyer's guide will help you evaluate platforms and highlight considerations for AI and analytics across organizational boundaries.
Article
7 Value Drivers of Complementary Data - Your Path to Unlocking the Benefits of Federated Data
There is only value in data if it can be used, and if there is appropriate access to that data when it is needed. Learn how you can turn decentralized, federated data into a complementary strategic data asset.
Article
The Five Qualities of Collaborative Data Ecosystems
Over the past decade, organizations have focused heavily on implementing the culture, tools, and processes to create value from data with data science and machine learning within the enterprise. But this transformation doesn't intend to stop at corporate boundaries. Read the article to find out more