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?
Get in touch
Trusted by our customers and partners
Solutions for industries
Pharma
Collaborate with partners on data and AI to innovate on new medicines, diagnostics and evolve the practice of life sciences.
Learn more
Learn more
Healthcare
Make healthcare data accessible and usable, without any risk of privacy breach, to help discover new treatments and cure disease.
Learn more
Learn more
Manufacturing
Collaborate across organizational boundaries, while keeping IP protected and leverage distributed datasets to increase efficiency along the manufacturing value chain.
Learn more
Learn more
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.
Learn more
Learn more
AI in medical imaging
AI-enabled imaging, diagnostics and workflow support previously thought impossible.
Learn more
Learn more
Conversational AI
Power your conversational AI models with unique access to sensitive customer data.
Learn more
Learn more
Risk management & modelling
Leverage datasets from multiple organizations or subsidiaries to determine risk patterns, reduce market frictions, or calculate more accurate prices.
Learn more
Learn more
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.
Get in touch
Get in touch
We're creating globally impactful solutions, together.
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
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.
Guide
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.