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
apheris AI: Verteilte Daten analysieren und dabei den Datenschutz wahren
Find out more about our work and how we help customers to securely analyze data across organizations while keeping proprietary information private.