Deepgram Partners with Fortanix and NVIDIA

Deepgram, providers of the infrastructure underpinning voice artificial intelligence, has partnered with Fortanix and NVIDIA to enable companies to run voice AI in their own environments on their own terms while ensuring their most sensitive data is securely protected.

Under terms of the agreement, Deepgram can leverage Fortanix Confidential AI and NVIDIA Confidential Computing to add an additional layer of advanced security to self-hosted environments to ensure that its proprietary model weights, built on business-critical intellectual property, can be deployed while protecting against model theft or inappropriate use. This is important, as organizations handling patient conversations, financial transactions, or classified information increasingly require that sensitive audio and AI model weights remain protected not only at rest and in transit, but also during active processing in their own environments.

The on-premises solution runs Deepgram's voice AI models with Fortanix Confidential AI on NVIDIA Confidential Computing-enabled GPUs, creating a hardware-isolated environment where both audio data and model weights remain encrypted and protected throughout active use. NVIDIA GPUs with Confidential Computing enable AI workloads to process sensitive data inside a trusted execution environment. By bringing together voice AI models, hardware-rooted isolation, and a jointly engineered, pre-integrated stack, the partnership delivers in-use data protection.

The Deepgram, Fortanix, and NVIDIA solution opens the door to a variety of on-prem security-demanding voice AI applications: private, on-prem voice agents handling sensitive customer and patient interactions; enterprise-wide transcription layers that capture every call, meeting, and internal conversation for analytics, compliance, and search; and voice-enabled IT, operations, and service desk applications running entirely inside secure perimeters.

Deepgram's voice AI models deliver real-time voice understanding and generation.

"Voice often contains the enterprise's most sensitive data: patient conversations, financial transactions, classified briefings. As real-time voice becomes the primary interface of the enterprise, organizations will need to deploy voice AI in the environments that their security, confidentiality, and regulatory requirements demand," said Scott Stephenson, CEO and co-founder of Deepgram, in a statement. "Together with Fortanix and NVIDIA, we're making it possible to run voice AI without compromise. Your data will stay protected, your models will stay protected, and you still get real-time performance."

"AI labs and model owners face enormous pressure to commercialize and distribute their AI models widely, but doing so can create security risks that threaten the very intellectual property they invested huge amounts of time and money to create," said Anand Kashyap, CEO and co-founder of Fortanix, in a statement. "Fortanix Confidential AI changes that by providing model owners a secure, proven path to unlock new markets and enterprise customers without exposing their most valuable IP."

"Real-time voice AI helps industries scale efficiency and safety, empowering healthcare providers to update records more quickly, letting technicians repair equipment without putting tools down to check manuals, but sensitive data needs to be secure throughout processing," said Justin Boitano, vice president of enterprise AI platforms at NVIDIA, in a statement. "NVIDIA Confidential Computing, combined with Fortanix and Deepgram, provides a powerful platform for regulated industries to deploy production-grade voice AI applications with sovereignty and trust."