Working with industry to build better solutions with a federated data infrastructure

Securely access data and insights across organizations, industries, and geographical borders to build globally impactful solutions.

Trusted by our customers and partners

Solutions for industries


Collaborate with partners on data and AI to innovate on new medicines, diagnostics and evolve the practice of life sciences.
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Make healthcare data accessible and usable, without any risk of privacy breach, to help discover new treatments and cure disease.
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Collaborate across organizational boundaries, while keeping IP protected and leverage distributed datasets to increase efficiency along the manufacturing value chain.
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Use cases

AI for drug discovery

Enable your researchers with more accurate and generalizable predictive models. Increase efficiencies across every step of pharmaceutical research and development.
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AI in medical imaging

AI-enabled imaging, diagnostics and workflow support previously thought impossible.
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Conversational AI

Power your conversational AI models with unique access to sensitive customer data.
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Risk management & modelling

Leverage datasets from multiple organizations or subsidiaries to determine risk patterns, reduce market frictions, or calculate more accurate prices.
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Federated ML & Analytics

Don't see your use case here? Get in touch to find out how you can power your data infrastructure with federated ML and analytics.
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We're creating globally impactful solutions, together.


"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

Any data, any size, anywhere

Are you ready to see how Apheris can help you build data applications and AI across boundaries without sacrificing data privacy or intellectual property?
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Case Study

Case Study: Manufacturing

Learn how multiple companies across a manufacturing value chain have securely collaborated on data while protecting the IP of any party, data, or model.

White Paper

Privacy-preserving Data Ecosystems in Support of Drug Discovery

In recent years, Deep Learning has gained considerable traction in many fields, but none more so than in the realm of drug discovery. Applications range from generating de novo hit-like molecules, predicting drug-disease associations and activity, toxicology estimation, to the analysis of medical images.


E-book - Federated Data Ecosystems in Pharma & Healthcare

Breakthroughs in healthcare are faster and more reliable with federated data ecosystems. By processing patient data without risking its integrity, data collaboration is safer and more effective than data sharing. This e-book highlights real-world examples and explains how to implement a federated data ecosystem in pharma and healthcare.