Apheris leverages AI and analytics to enable organizations to collaborate on decentralized data sets in compliance with privacy regulations such as the GDPR. It allows secure multi-party computation that allows organizations to securely access and collaborate on data of multiple parties using privacy-enhancing technologies such as federated machine learning, differential privacy, and synthetic data. It allows collaboration on data and AI without having to move, share, or centralize data. The platform allows parties to have complete control over data sovereignty by ensuring that their data never moves from the original owner’s secure networking environment. The company’s security and privacy team of experts proactively hunt for sophisticated threats and new attack vectors across an organization to eradicate risks.
Apheris’ secure Federated Data platform allows users to build, deploy, and operationalize data applications and AI, access and share insights while securing proprietary information, and ensure regulatory compliance. The platform is designed for data processing and supports cloud, multi-cloud, and hybrid environments.
The platform isolates secure nodes in confidential environments to protect sensitive data and allows data science computations within it. The company’s Privacy Guard tool enforces specific privacy requirements and allows data providers to create representative test data to allow third-parties to use the data in a privacy-preserving manner. It also enables data providers to create asset policies such as access permissions while retaining full control of their data.
Key customers and partnerships
Apheris serves customers in the healthcare, pharmaceutical, and manufacturing industries. Notable customers include the BMW Group, BASF, Johnson and Johnson Innovation Labs, Federal Ministry of Education and Research, and BCG.
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