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Enable safe computational data access for ML

Data and insights across boundaries to build globally impactful solutions.

Trusted by our customers and partners

Pharma

Collaborate with partners on data and AI to innovate on new medicines, diagnostics and evolve the practice of life sciences.

Healthcare RWD

Build trust and compliance in real-world data utilization to advance RWE with private and secure algorithmic access to sensitive patient data.

Manufacturing

Collaborate across organizational boundaries, while keeping IP protected Leverage distributed datasets to reduce maintenance costs and increase efficiency along the manufacturing value chain.

Use cases

Data-as-a-Service

Enable governed, private, secure computational access to data for ML. Make data accessible while remaining compliant. Learn more

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

Medical imaging AI

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

MedTech

Leverage field data without moving or centralizing data. Keep data custodians in control of their data. Continuously improve algorithms, create new features, and deliver them to customers faster than ever. Learn more

Conversational AI

Power your conversational AI models with unique access to sensitive customer data. 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

Equipment Operations

Solving the data scarcity dilemma with algorithmic access to federated machine data in the field. Identify crucial patterns, enabling organizations to optimize their operations including predictive maintenance, surveillance, and efficiency optimization. Learn more.

Anti-Money Laundering

Securely make financial transaction data available to improve anti-money laundering and fraud detection models. Algorithmic access to federated data generated by financial institutions to identify crucial data patterns, enabling you to optimize your models for fraud detection, anti-money laundering, risk predictions and much more. Learn more.

Private, secure, governed ML

Don't see your use case here? Get in touch to find out how Apheris can help you safely productize sensitive data or implement federated learning and analytics in your organization.

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

Enabling federated research for life sciences

A leading data aggregator in healthcare research partnered with Apheris to provide life sciences customers with granular access to patient data while ensuring GDPR compliance. Apheris enabled fully federated machine learning, optimizing the model training process and enhancing customer satisfaction by addressing long-standing GDPR issues. This partnership illustrates Apheris's potential to unlock data assets securely and efficiently.
White Paper

Privacy and Security Whitepaper

Privacy and security considerations are an important part of adopting a federated infrastructure for machine learning and analytics. This whitepaper outlines the various security techniques and privacy controls used by Apheris to safely collaborate and build data applications and AI across organizational and geographical boundaries.

In this whitepaper you will learn about:

checkmark The privacy and security landscape, and how Apheris operates within it
checkmark Defining attack vectors and threat models as the basis for a privacy and security strategy
checkmark Using the 5 Safes as a framework for privacy and security in federated ML and analytics
checkmark Practical advice for making the move to a federated data infrastructure
Article

Navigating the EU AI Act: compliance foundations for a new era

The EU AI Act marks a crucial step in regulating AI, addressing inherent risks and fostering innovation. Applicable to entities within and outside the EU, this article delves into the EU AI Act's structure, the urgency of preparation, and offers insights into achieving compliance.
Case Study

Enabling federated research for life sciences

A leading data aggregator in healthcare research partnered with Apheris to provide life sciences customers with granular access to patient data while ensuring GDPR compliance. Apheris enabled fully federated machine learning, optimizing the model training process and enhancing customer satisfaction by addressing long-standing GDPR issues. This partnership illustrates Apheris's potential to unlock data assets securely and efficiently.