Enable natural conversations with ultra-low latency and smarter turn-taking. Speakers:

• Nick Kaimakis, Senior Product Manager, Deepgram
• Jack Kearney, Staff Research Scientist, Deepgram

Building real-time voice agents, assistants, or conversational AI is hard. Traditional ASR pipelines juggle multiple systems to guess at turn boundaries, leading to latency, interruptions, and robotic timing.

Flux changes that. It’s the world’s first conversational speech recognition model built for dialogue, not dictation. By integrating turn detection directly into recognition, Flux enables:

• Sub-300 ms response latency
• Cleaner, event-driven outputs
• Developer-friendly APIs for seamless integration

You’ll get an inside look at how Flux works, why it represents a paradigm shift for real-time conversational AI, and how to start building with it today.

• Eliminate interruptions and false cutoffs with smarter turn detection
• Simplify voice agent development using event-driven outputs
• Explore next-gen speech recognition with ultra-low latency turn taking
• See a live demo and learn how to configure thresholds for your use case

• Developers building real-time voice AI apps
• Product managers and engineers exploring next-gen speech technology
• Anyone interested in conversational AI and low-latency speech recognition

Watch now and discover why Flux is a paradigm shift for conversational AI.