Inpher

Inpher was a software company that specialized in privacy-enhancing technologies (PETs) for secure data analysis and machine learning. Founded in 2015 by Dr. Jordan Brandt and Professor Dr. Dimitar Jetchev, the company developed a cryptographic computing platform designed to protect data while it is being processed. This allowed organizations to collaborate on and analyze sensitive datasets across different departments, companies, or jurisdictions without physically moving or exposing the confidential information.

The company's core technology portfolio included advanced cryptographic methods such as secure Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), and Federated Learning (FL). Inpher's primary product was the XOR Secret Computing Engine, a SaaS platform that enabled data scientists to train machine learning models and derive insights from encrypted data. This addressed critical data privacy and compliance regulations like GDPR, CCPA, and HIPAA. Their SecurAI platform specifically provided privacy and compliance controls for organizations adopting generative AI tools.

Inpher was headquartered in New York, with additional offices in San Francisco and Lausanne, Switzerland. Over its lifetime, the company raised over $25 million from investors including JPMorgan Chase, Swisscom Ventures, Amazon Alexa Fund, and Crosslink Capital. Notable customers included BNY Mellon and CPP Investments. In November 2024, after nearly a decade of operation, Inpher's core technology and team were acquired by Arcium, a decentralized confidential computing network. The acquisition was aimed at accelerating the development of secure computing and privacy-preserving AI by integrating Inpher's advanced MPC solutions into Arcium's platform.

Keywords: secret computing, privacy-enhancing technologies, PETs, secure multiparty computation, MPC, fully homomorphic encryption, FHE, federated learning, encrypted data analysis, privacy-preserving machine learning, data privacy, cryptographic security, confidential computing, data collaboration, secure AI, data encryption, information security, distributed computation, compliance technology, fintech security, healthcare data privacy, secure analytics, data sovereignty, generative AI privacy