Voice Agents That Prioritize Data Security and Run Where Your Data Lives

Deepgram's Voice Agent API, in collaboration with NVIDIA Nemotron, offers a robust solution for deploying voice agents that prioritize data security by running within customer environments such as private clouds, on-premises, or virtual private clouds (VPCs). This integration is particularly beneficial for industries with stringent data privacy needs, such as healthcare and finance, which have historically struggled to adopt voice AI technologies due to data residency constraints. The API streamlines the deployment process by consolidating the necessary components—speech-to-text (STT), large language models (LLM), and text-to-speech (TTS)—into a single pipeline that can be efficiently managed, reducing latency to under 700 ms end-to-end. The Deepgram stack supports various models, including NVIDIA's Nemotron, which is optimized for NVIDIA GPUs, enhancing performance and scalability in diverse deployment scenarios. The platform enables rapid implementation, offering a developer playground and a clear deployment path for AWS environments with plans for future expansion into customer-managed infrastructure. Deepgram's approach aims to deliver high-performance voice agents with minimal latency while maintaining the accuracy and reliability essential for production environments.