Use data to gain insights while protecting people’s privacy

Create an anonymized data set that is compliant with privacy regulations

Data privacy and Privacy regulations limit how much data a company can access for analysis

HIPAA, GDPR and Data Residency requirements restrict your ability to conduct data science. CryptoNumerics removes these restrictions.

CryptoNumerics enables you to create privacy protected datasets with quantifiable privacy risk. In addition, you can build statistical and machine learning models that protect people’s privacy.

HIPAA, GDPR and Data Residency requirements restrict your ability to conduct data science. CryptoNumerics removes these restrictions.

CryptoNumerics enables you to create privacy protected datasets with quantifiable privacy risk. In addition, you can build statistical and machine learning models that protect people’s privacy.

Use Cases

Financial Services

Investors would like to measure their exposures to risk factors and attribute returns across their portfolios to understand their total risk and performance.  They would like to include their hedge fund holdings as well. However, hedge funds do not disclose their holdings, as it is considered proprietary information.

CryptoNumerics solves this problem with CN-Insight to securely compute the necessary linear algebraic calculations and regressions used in risk decomposition and return attribution without relocating the data and without exposing the raw data.

Life Sciences

Medical researchers would like to combine clinical data with genomic data on the same patients to advance cancer treatment. Both datasets contain private information and cannot be relocated.

CryptoNumerics solves this problem in three steps:

  • Patients are matched across the two datasets using CN-Insight without relocating the data.
  • Each dataset is privacy protected with CN-Protect to satisfy HIPAA and additional privacy requirements.
  • Data scientists generate insights by building models with these datasets using CN-Insight without relocating the data.

CryptoNumerics Team

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.

Monica Holboke

Co-Founder & CEO/CSO

Ash Munshi

Co-Founder & Executive Chairman

Charles Marker

CTO

David Jensen

Head of Research

Peter Scholl

Cryptography Expert

Jimmy Fan

Co-Founder, Engineering

Roberto Cervantes

Co-Founder, Marketing

Hassan Bhatti

Co-Founder, Commercial