Why Us

The key to privacy-preserving computing lies in its power to enable data sharing and analysis among different entities without exposing data to theft.
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Novo Vivo platform enables privacy-preserving computing with a fusion of protected computing techniques. These techniques are well tested in the context of genomics and health data, in a number of research programs, partly led by the NOVOVIVO team members. By utilizing privacy-preserving computation, sensitive data can be protected and controlled during the entire data trading phases that were previously impossible. Such a computing paradigm will prompt data availability and usability, as well as, change the way of data sharing among all industries.

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Scalable and efficient solutions to handle large scale data analysis from multiple sources.

Privacy-preserving computation to enable trustworthy collaboration and data sharing.

Federated learning framework to enable privacy-preserving model sharing, but without sharing patient level data.