Deepgram, a leading enterprise voice AI platform, has announced the general availability of its Voice Agent API—a unified voice-to-voice interface that enables developers to create intelligent, responsive, and context-aware conversational agents.
The platform integrates speech-to-text (STT), text-to-speech (TTS), and large language model (LLM) orchestration into one architecture, streamlining development while preserving full control over deployment and model behavior. Enterprises can choose to build with Deepgram’s full-stack offerings like Nova-3 STT and Aura-2 TTS, or integrate their own LLM and TTS systems.
With early adopters such as Aircall, Jack in the Box, StreamIt, and OpenPhone already using the API, Deepgram is addressing a major industry pain point: the complexity and fragmentation of building voice agents. Developers often juggle multiple APIs to manage streaming audio, session states, turn-taking, and interruptions.
Deepgram’s Voice Agent API eliminates these hurdles by delivering an all-in-one solution that handles real-time coordination, offering both simplicity and precision. This allows teams to build and launch sophisticated voice agents much faster.
Built on Deepgram’s Enterprise Runtime, the Voice Agent API enables high levels of customization and flexibility. Organizations can deploy the platform across cloud, VPC, or on-prem environments, and make dynamic adjustments mid-session through real-time orchestration.
The API supports advanced features like prompt updates, barge-in handling, and domain-specific behavior tuning. According to benchmark data using the Voice Agent Quality Index (VAQI), Deepgram outperformed competitors including OpenAI and ElevenLabs in latency, interruption rate, and input accuracy.
Cost-effectiveness is another major advantage of Deepgram’s unified architecture. When used entirely on Deepgram’s stack, the API is priced at a predictable flat rate of $4.50 per hour, making it affordable for enterprise-scale deployments. Organizations bringing their own models can benefit from discounted rates, reducing the total cost of ownership without compromising performance. Deepgram’s tightly integrated runtime also ensures compute efficiency, minimizing infrastructure costs.
Deepgram has also rolled out extensive documentation, SDKs, and an interactive playground to help developers quickly get started. New users receive $200 in free credits—enough for more than 40 hours of real-time voice agent usage. With its blend of technical excellence, customization, and affordability, Deepgram’s Voice Agent API is positioning itself as a cornerstone for the next generation of intelligent, voice-first customer engagement.