Privacy + Secure Machine Learning
Break the Data Barrier
“The world’s most valuable resource is no longer oil, but data.”
– The Economist
Every organization inevitably runs into the Data Barrier, the point at which valuable data is inaccessible due to risk of exposing sensitive information, risk of intellectual property loss, or regulatory constraints.
CryptoNumerics breaks the Data Barrier to generate better insights. This is achieved using a combination of Private Set Intersection, Differential Privacy, Optimal k-Anonymity, and federated or decentralized concurrent Secure Machine Learning.
Breaking through the Data Barrier
Investors work with data scientists to gain the ability to understand and attribute the performance and risk characteristics of their entire portfolio including their holdings in hedge funds.
Researchers and data scientists increase the statistical significance and precision of their findings, ultimately advancing the development of new and improved therapies for cancer patients.
Policy makers work with data scientists to develop better policies through increased understanding of issues in low-income areas for improved health outcomes and allocation of resources.
We are a team of engineers and visionaries with previous experience in C-Level roles at Fortune 500 companies, in R&D roles at global organizations, and as founding teams of successful venture-backed start-ups.