The problem
Data collaborations are extremely valuable. But collaborating with other organizations is hard. Analyzing third-party data is full of cumbersome processes that stifle innovation.

What if you could perform trusted analytics on private datasets gaining valuable insights without any friction?

Imagine how privacy-preserving analytics could fundamentally change many aspects of precision medicine, healthcare, the life sciences, or any data-based fields.

The solution
Decentriq's avato platform combines cutting-edge cryptography with Trusted Execution Environments, so-called enclaves , to enable multi-party confidential computing.

The easy-to-use avato platform enables privacy-preserving data collaborations on sensitive datasets across one or multiple organizations.

The technology
The avato platform is built on Intel SGX , protecting data in-use. Avato cryptographically proves the privacy of the data from any other party, including decentriq.

The avato platform enables complete confidentiality for computations , even in the public cloud.

Avato can run almost any computation developed by the users or by decentriq. The first enabled use-case is Private Set-Intersection on sensitive datasets.