Deepgram, the world’s most realistic and real-time Voice AI platform, today announced from VapiCon 2025 the launch of Flux, the world’s first conversational speech recognition (CSR) model designed specifically for real-time voice agents. Unlike traditional automatic speech recognition (ASR), which was built for passive transcription use cases like captions or meeting notes, Flux is trained to understand the nuances of dialogue. It doesn’t just capture what was said. It knows when a speaker has finished, when to respond, and how to keep the flow of conversation natural and engaging.
The global voice AI agents market is projected to reach nearly $47.5 billion by 2034, growing at a compound annual rate of about 34.8%. This growth is primarily due to the enterprise shift toward automated customer self-service, smarter agent assist tools, and embedded conversational experiences across industries. But traditional STT systems weren’t designed to participate in live dialogue. To recreate conversational flow, developers have been forced to piece together transcription, voice activity detection, and turn-taking logic — a patchwork that leads to latency, errors, and frustrating user experiences.
Flux eliminates these problems by embedding turn-taking directly into recognition. It transforms speech recognition from a passive recorder into an active conversational partner. This provides developers with the tools to build responsive, human-like voice agents without the complexity of workaround code or endless threshold tuning.
What Flux Delivers:
- Embedded turn-taking intelligence – Conversation-aware recognition that handles timing inside the model itself, with context-aware turn detection and native barge-in handling for fluid exchanges.
- Lightning-fast performance – Ultra-low latency where it matters most with ~260ms end-of-turn detection, plus distinct events to support eager response generation before a turn is complete.
- Simpler development – Turn-complete transcripts and structured conversational cues replace fragile client-side logic, so teams can ship production-ready agents in weeks, not months.
- Enterprise-ready scalability – Nova-3 level accuracy, GPU-efficient concurrency with 100+ streams per GPU, and predictable costs that avoid the hidden overhead of bolted-on systems.
Who It’s For:
- Voice AI builders – Developers, engineering leads, and AI teams creating real-time agents.
- Enterprise innovators – Leaders modernizing customer experience with agent assist and conversational AI platforms.
- Ecosystem partners – Platform providers, consultancies, and cloud architects looking to integrate CSR into larger AI stacks.
Flux is generally available (GA) today. Developers can start building with CSR immediately.
To celebrate the launch, Deepgram is announcing OktoberTalk – making Flux FREE to use for the entire month of October. Developers can use Flux to build and test real-time voice agents at no cost, with support for up to 50 concurrent connections. The goal: remove every barrier to experimentation so teams can experience how conversational speech recognition changes what’s possible in voice AI.
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This entry was posted on October 2, 2025 at 2:31 pm and is filed under Commentary with tags Deepgram. You can follow any responses to this entry through the RSS 2.0 feed.
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Deepgram Launches Flux – The World’s First Conversational Speech Recognition Model
Deepgram, the world’s most realistic and real-time Voice AI platform, today announced from VapiCon 2025 the launch of Flux, the world’s first conversational speech recognition (CSR) model designed specifically for real-time voice agents. Unlike traditional automatic speech recognition (ASR), which was built for passive transcription use cases like captions or meeting notes, Flux is trained to understand the nuances of dialogue. It doesn’t just capture what was said. It knows when a speaker has finished, when to respond, and how to keep the flow of conversation natural and engaging.
The global voice AI agents market is projected to reach nearly $47.5 billion by 2034, growing at a compound annual rate of about 34.8%. This growth is primarily due to the enterprise shift toward automated customer self-service, smarter agent assist tools, and embedded conversational experiences across industries. But traditional STT systems weren’t designed to participate in live dialogue. To recreate conversational flow, developers have been forced to piece together transcription, voice activity detection, and turn-taking logic — a patchwork that leads to latency, errors, and frustrating user experiences.
Flux eliminates these problems by embedding turn-taking directly into recognition. It transforms speech recognition from a passive recorder into an active conversational partner. This provides developers with the tools to build responsive, human-like voice agents without the complexity of workaround code or endless threshold tuning.
What Flux Delivers:
Who It’s For:
Flux is generally available (GA) today. Developers can start building with CSR immediately.
To celebrate the launch, Deepgram is announcing OktoberTalk – making Flux FREE to use for the entire month of October. Developers can use Flux to build and test real-time voice agents at no cost, with support for up to 50 concurrent connections. The goal: remove every barrier to experimentation so teams can experience how conversational speech recognition changes what’s possible in voice AI.
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This entry was posted on October 2, 2025 at 2:31 pm and is filed under Commentary with tags Deepgram. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.