Pioneering Privacy-Preserving Machine Learning Across the Globe

Presented by

Inpher, Inc.

About this talk

Inpher is a New York-based Secret Computing© company that powers privacy-preserving machine learning and analytics to unlock the value of sensitive, siloed data and enable secure collaboration across teams and organizations. Data scientists leverage Inpher’s XOR SaaS Platform to train and run ML models on deeper and more diverse data while it is encrypted to improve model performance with mathematically guaranteed data privacy and residency preservation. Available on AWS and GCP marketplaces, global enterprises use Inpher’s XOR within applications across finance, healthcare and IoT. Inpher’s team of recognized leaders in the fields of Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), and Federated Learning (FL) continue to deliver the fastest, high-precision privacy-preserving capabilities.

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