Inpher.io

Inpher, Inc. is a New York-based company specializing in privacy-enhanced computation. The company's flagship product, the XOR Privacy-Preserving Machine Learning Platform, enables data scientists to build machine learning and artificial intelligence models by analyzing distributed data sources with cryptographic security guarantees. Inpher's technology allows organizations to extract value from sensitive data across teams, organizations, and geographies without moving the data itself. The XOR Platform employs privacy-enhancing technologies (PETs) such as secure Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), and Federated Learning (FL) to ensure data privacy and security during analysis.

In September 2023, Inpher made its XOR Platform available on the Oracle Cloud Marketplace, integrating with Oracle Cloud Infrastructure (OCI). This integration allows enterprise customers to quickly provision, deploy, and initiate data collaboration and AI projects using the XOR Platform. The technology is designed to address the challenges of privacy and data sovereignty initiatives, particularly in scenarios where data sets are distributed across borders, organizations, and various governance and policy mandates. Inpher's solution is particularly relevant in the context of increasing regulatory requirements for sustainability reporting, offering organizations a way to provide transparency to stakeholders and regulators while protecting sensitive data.

Key customers and partnerships

In September 2023, Inpher announced a partnership with Oracle, making its XOR Platform available on the Oracle Cloud Marketplace. This collaboration allows Oracle Cloud Infrastructure users to access Inpher's privacy-preserving computation capabilities, facilitating secure data collaboration and AI initiatives. The partnership also extends to Oracle Cloud Enterprise Performance Management (EPM), where Inpher's XOR Platform complements Oracle's ESG reporting solutions by providing cryptographic security for federated analysis of sensitive data.