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SAN FRANCISCO (June 1, 2026) —Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, and Fortanix, today 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 terms of the agreement, Deepgram can leverage Fortanix Confidential AI andNVIDIA 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. 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. 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. This level of protection enables organizations to build highly-secure real-time voice applications without sacrificing on 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 organization's secure perimeter. For regulated enterprises, this turns voice into a production-ready interface without sacrificing the real-time performance the experience demands.
Deepgram's voice AI models deliver the real-time voice understanding and generation with the accuracy, consistency, and low latency that enterprise use demands. Designed for any environment including those with the highest confidentiality and regulatory needs, Deepgram’s models bring voice AI to enterprise organizations across virtually every industry vertical, including those with sensitive, regulated use cases that have historically been out of reach.
“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, Deepgram. "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.”
Fortanix Confidential AI protects data and AI model weights while they’re actively running. It builds on NVIDIA GPUs with Confidential Computing to create Trusted Execution Environments (TEEs) that isolate the AI workload from the underlying infrastructure and OS. Data and AI models run safely inside Confidential Computing, encrypted in memory, and inaccessible to the host operating system or even privileged administrators. As a result, regulated organizations can unlock AI innovation with trust, security, and sovereignty at the core, while meeting HIPAA, GDPR, and national-data residency requirements.
"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, Fortanix. "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, Enterprise AI Platforms, NVIDIA. “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.”
To learn more, please reach out to Deepgram at: partners@deepgram.com.
About Deepgram
Deepgram is the real-time AI infrastructure company underpinning the Voice AI economy. Today, more than 200,000 developers and 1,400 organizations are Powered by Deepgram. Its voice AI platform offers speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities, all powered by its enterprise-grade runtime. Deepgram’s voice-native foundation models, accessed through cloud APIs or as self-hosted/on-premises APIs, deliver unmatched accuracy, low latency, and competitive pricing. Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram. To learn more, please visit www.deepgram.com, read its developer docs, or follow @DeepgramAI on X and LinkedIn.
About Fortanix
Fortanix is the global leader in data and AI security and a pioneer of Confidential Computing, delivering a unified platform to protect sensitive data, AI models, and applications across on-premises and multi-cloud environments—at rest, in transit, and in use. Built on hardware-enforced security, Fortanix enables workloads to run in tamper-proof, isolated enclaves, protecting against data leakage, model extraction, and unauthorized access, even from privileged insiders.
As enterprises scale modern AI factories, Fortanix provides a Confidential AI foundation built on attestation-based trust, secure key release, and zero-trust enforcement. This ensures AI systems remain verifiable, auditable, and trustworthy—while enabling crypto agility and long-term resilience through post-quantum cryptography (PQC).
Trusted by leading enterprises and sovereign entities in highly regulated industries and powered by an industry-standard approach to Confidential Computing supported by leading technology providers, including Intel and Microsoft, Fortanix enables organizations to safely use sensitive data and drive AI adoption with confidence.
