Deepgram Launches Flux TTS

Deepgram, an infrastructure company underpinning the voice artificial intelligence economy, today released Flux TTS, a conversation-native text-to-speech (TTS) model for enterprise voice agents.

Flux TTS joins Flux speech-to-text (STT) within Deepgram's broader voice AI platform and is backed by the same runtime and deployment flexibility organizations already use to process speech with Deepgram at scale. Through Deepgram's Voice Agent API, enterprises can orchestrate speech recognition, agent reasoning, and speech generation through a single API.

Flux TTS builds on Deepgram's existing TTS capabilities with more expressive, conversation-native speech generation specifically for live interactions.

"The market has spoken, literally, and voice is becoming the preferred interface for AI. But the next phase of this market will not be won by the model that sounds best in a demo. It will be won by systems enterprises can trust to complete business-critical work when conversations become unpredictable. Flux TTS was built for that standard: it begins responding in as low as 80 milliseconds while maintaining context and adapting to interruptions, moving text-to-speech from an audio feature to business-critical infrastructure," said Scott Stephenson, CEO and co-founder of Deepgram, in a statement.

Flux TTS brings the following three core system behaviors to the speaking layer:

• Stays consistent from one turn to the next: Rather than treating each response as a stand-alone line of speech, Flux TTS carries the conversation forward, bringing context along for the entire conversation. Prior turns inform how the next response is spoken, helping the voice maintain consistent tone, pacing, and emotional register throughout the exchange.
• Keeps pace with a live conversation: Flux TTS begins responding in as low as 80 milliseconds, even under production load. Persistent state, native interruption handling, and an explicit turn lifecycle allow the agent to adapt when someone interrupts or changes direction.
• Holds up under enterprise conditions: Flux TTS communicates consequential information, such as drug names, account numbers, and alphanumerics. Deployment options in a customer's cloud or on premises also support scale, security, compliance, and data-residency requirements.

Preliminary use cases for Flux TTS include interactions like account management, where an agent needs to accurately communicate alphanumeric codes; sales and scheduling, where calls might be interrupted by new requests; restaurant ordering, where changes happen midway through the interaction; and technical assistance, where losing context or accuracy can force a customer to start over, abandon the task, or escalate to a human.