Inpher is a privacy-enhancing computation software company that enables organizations to securely unlock and analyze sensitive data for AI and machine learning applications. Inpher specializes in privacy-preserving machine learning, allowing businesses to collaborate on and extract value from confidential data across teams, organizations, and geographies—without physically moving or exposing the data itself.
Inpher’s core technology portfolio includes secure Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), Federated Learning (FL), and other advanced privacy-enhancing technologies (PETs). Their solutions are designed to ensure that sensitive information remains protected and compliant with data privacy regulations, even when leveraging advanced AI tools and generative AI models like ChatGPT. The Inpher SecurAI platform, for example, provides privacy and compliance controls for organizations seeking to adopt generative AI without compromising data confidentiality.
How was Inpher started?
Inpher was founded by a team of cryptographers and software engineers recognized for their expertise in secure computation and privacy technology. The founding team includes Dr. Jordan Brandt (CEO and Cofounder), Marcella Arthur (Chief Revenue Officer), Alexander Petric (VP Solutions), Dr. Mariya Georgieva (VP of Cryptography), and other leaders with backgrounds in cryptography, machine learning, and engineering. Their collective mission is to bridge the gap between privacy, security, and advanced analytics for enterprise organizations. You can read more about their story and team on their About page.
Who uses Inpher?
Inpher’s solutions are used by organizations that operate with highly sensitive data and require strong privacy guarantees—often in regulated industries such as finance and technology. Notable customers include:
- CPP Investments
- DataCo Technologies
- BNY Mellon
These companies leverage Inpher to enable secure data collaboration and privacy-preserving AI initiatives that would otherwise be impossible under traditional data sharing models.
What makes Inpher different?
Inpher stands out for its deep expertise in combining multiple privacy-enhancing technologies, offering enterprise-ready solutions that do not require data to be moved or decrypted. Their technology enables real-world applications of privacy-preserving machine learning, supporting compliance and trust while advancing the use of AI across borders and organizational silos.
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