Inpher has pioneered cryptographic Secret Computing® technology for secure, privacy-preserving analytics and machine learning. As data-driven companies and pervasive AI consume more information, it is increasingly difficult to access valuable data sources due to expanding organizational and sovereign data privacy, security, and compliance requirements. Inpher’s Secret Computing® products enable data scientists to compliantly, securely, and privately compute on distributed data without ever exposing or moving it. With Secret Computing®, data scientists can unlock sensitive data to improve their machine learning and analytical models while meeting organizational and sovereign data requirements. Finally, data scientists don’t have to choose between data privacy and data usability — they really can have both.
