Voice AI platform for enterprise use cases, Deepgram, is making its Voice Agent API, a single, unified voice-to-voice interface, generally available.
Voice-first AI agents: why Deepgram thinks the future lies in speech-to-text solutions
The interface enables developers to have complete control over building context-aware voice agents to power natural, responsive conversations.
The Voice Agent API combines speech-to-text, text-to-speech, and large language model (LLM) orchestration with contextualized conversational logic into a unified architecture. This allows developers the choice of using Deepgram’s fully integrated stack or bringing their own LLM and TTS models.
“The future of customer engagement is voice-first,” said Scott Stephenson, CEO of Deepgram. “But most voice systems today are rigid, fragmented, or too slow. With our Voice Agent API, we’re giving developers a powerful yet simple interface to build conversational agents that feel natural, respond instantly, and scale across use cases without compromise.”
Deepgram’s Voice Agent API offers a unified API that streamlines development without compromising control, enabling developers to build while enterprises maintain complete control over orchestration, deployment, and model behavior.
Further, the API removes the burden of fragmented services that add complexity and time delays to production. Instead, the solution integrates speech-to-text, LLM reasoning, and text-to-speech capabilities with built-in support for real-time conversational dynamics into a single, unified API. It offers model-driven features such as barge-in handling and turn-taking prediction, which are managed natively within the platform.
APIs and additional integrations available through partners and the Deepgram platform
Additionally, organizations seeking broader integrations can leverage Deepgram’s partner ecosystem to access conversational AI solutions and services powered by Deepgram’s APIs.
“We believe the future of customer communication is intelligent, seamless, and deeply human– and that’s the vision behind Aircall’s AI Voice Agent,” said Scott Chancellor, CEO of Aircall. “To bring it to life, we needed a partner who could match our ambition, and Deepgram delivered. Their advanced Voice Agent API enabled us to build fast without compromising accuracy or reliability. From managing mid-sentence interruptions to enabling natural, human-like conversations, their service performed with precision. Just as importantly, their collaborative approach helped us iterate quickly and push the boundaries of what voice intelligence can deliver in modern business communications.”
Some of the key features of the solution include:
- Flexible deployment: Users can run the complete voice stack in cloud, VPC, or on-prem environments to meet enterprise requirements for security, compliance, and performance.
- Runtime-level orchestration: Deepgram’s runtime supports mid-session control, real-time prompt updates, model switching, and event-driven signaling for adapting agent behavior.
- Bring-Your-Own models: Users can integrate their own LLMs or TTS systems while retaining Deepgram’s orchestration, streamlining pipeline, and real-time responsiveness.
API-based threats are a growing concern for organizations within the channel. Read more about how Cequence is boosting API and agent security through new partnerships.