August 20th 2020
Apheris earns seed funding from top-tier investors to enable enterprises to collaborate and analyse data securely without compromising privacy.
July 2020StartupSecure research grant from the German Federal Ministry of Education and Research for €750,000. Goal of the project is to do research in the field of federated and privacy-preserving machine learning for healthcare data.
We are a Digital Start-up of the Year 2020 award winner by the Federal Ministry for Economic Affairs and Energy.
Find our press material here or directly contact us.
We write articles on privacy-preserving computations and our technologies. Enjoy some reading time if you like! ☕
Why Differential Privacy?
The Prospects and Limitations of Synthetic Data
A Privacy-Preserving Way to find the Intersection of two Datasets
What is PyVertical?
The Democratization of Innovation: Funding our mission to enable data collaboration without compromising privacy
Find out more about our work and how we help customers to securely and privately collaborate to unlock value from distributed datasets.