Deepgram Takes Real-Time Voice AI to the Edge

Deepgram is bringing enterprise-grade speech recognition directly onto PCs powered by Snapdragon processors. Developers and device manufacturers can now utilize Deepgram’s Nova-3 speech-to-text model on the Qualcomm Hexagon NPU in the Snapdragon X Series platform to deliver real-time voice experiences without relying on a cloud connection, thereby opening the door to further integration of voice into a new generation of intelligent applications across automotive, mobile, industrial edge, IoT, and wearable devices.

Many voice AI solutions have historically relied on a cloud-based architecture, explained Deepgram executives. Before a voice response could be delivered, each interaction required audio to leave the device, travel to the cloud, be processed somewhere else, and then return. This approach could lead to delays and privacy concerns, limiting where voice AI can realistically be deployed.

Deepgram is fundamentally changing that model, enabling speech recognition to happen directly on the device itself. The result is an entirely new world of applications and user experiences that feel like a natural conversation, whether it is running in a vehicle, on an AI PC, inside an XR headset, or at the edge of a network where connectivity cannot be guaranteed, said the company.

“We recognize that voice AI technologies serve different needs. That’s why we value our work with Deepgram – because accuracy, latency, reliability, and scalability matter for developers building automotive systems, healthcare applications, industrial solutions, and other mission-critical experiences,” said Upendra Kulkarni, Vice President Product Management, Qualcomm Technologies. “The on-device AI capabilities of Snapdragon processors combined with Deepgram’s enterprise-class voice AI uniquely bring those requirements together in a way that opens new possibilities for real-time voice experiences across the device ecosystem.”

“The future of voice-first interaction is about meeting users wherever they are — in a vehicle, on a factory floor, inside an XR headset — without compromising on accuracy or responsiveness,” said Abe Pursell, Vice President, Business Development and Partnerships, Deepgram. “To make that possible, you need enterprise-grade speech recognition that can deliver within the constraints of a device. We’re bringing Deepgram Nova-3 directly to the ecosystem of PCs with Snapdragon, providing a foundation to build voice into products that work wherever people happen to be, regardless of network conditions.”