Understanding my world doesn’t require
breaching my privacy
Minimize data replication and leakage by separating
algorithms and results from raw data
The unnecessary replication of data across environments is wasteful at best and a liability at worst. Confidential computing techniques like federated learning, zero-knowledge proofs, homomorphic encryption, multi-party computing and more enable analysis of sensitive data sets without breaching governance or compliance.
Weavechain acts as the trusted interface between data consumers and the raw data itself. By acting as a gateway, Weavechain can enforce payments for computation, ensure that no data is being leaked, and offer a variety of confidential computing tools to be used as easily as any other API call.
CASE STUDY
GenoBank
“GenoBank.io is the first anonymous DNA Test kit with blockchain. Their patent-pending DNA Saliva Kit will allow our users to participate and take advantage of the Genomic Revolution maximizing privacy by using Blockchain Networks to keep track of all the data sets and Genomic Reports (insights) without exposing their personal data!”
GenoBank is implementing a marketplace using Weavechain that will allow end users to pick out studies that they want to run their personal genetic data through. The calculations are done using confidential computing, to ensure that not even GenoBank will be aware of the results of end user studies.