Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, and Fortanix announced a partnership that will enable enterprises to run voice AI in their own environment on their own terms while ensuring their most sensitive data is securely protected. Under the terms of the agreement, Deepgram can leverage Fortanix Confidential AI and NVIDIA Confidential Computing to add a 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. With this announcement, Deepgram and Fortanix continue to raise the bar for model-in-use protection in the most security-sensitive on-prem environments, enabling increased voice AI adoption in highly regulated industries.

For enterprises, especially those in highly regulated industries, security requirements continue to tighten. Organisations 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. This level of protection enables organisations to build highly secure real-time voice applications without sacrificing performance.

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 — a capability traditional infrastructure cannot provide. By bringing together best-in-class voice AI models, hardware-rooted isolation, and a jointly engineered, pre-integrated stack, the partnership delivers a level of in-use data protection that, until now, has not been practical to deploy at enterprise scale.

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 an organisation's secure perimeter. For regulated enterprises, this turns voice into a production-ready interface without sacrificing the real-time performance the experience demands.