Deepgram

Building better voice AI should also mean giving developers more choices.

Today at #DeepgramSpeak, @trydaily, the company behind the open source @pipecat_AI framework, is joining Deepgram. We're thrilled to welcome @kwindla, our new Head of Open Source, and his team to Deepgram.

We’ve also co-developed the Real-Time Context Standard with @pipecat_AI, developed to help voice AI systems carry the context that makes conversations work.

More on the vision we’re working toward together: deepgram.com/blog/daily-pip…

More choice, less searching.

Deepgram Marketplace is now in early access: one place to find the tech behind your voice agents without starting a new vendor hunt each time.

dpgr.am/mty402fu

Last week, we launched two LLMs at #DeepgramSpeak:

→ Think-Live LLM, which manages the conversation in real time and decides when to listen, wait, or respond

→ Think-Fast LLM, which does the work behind the conversation: following your rules, making tool calls, and writing replies built to be spoken

Add them to STT, TTS, and our Real-time Context Standard (RCS) for richer context, and you've got yourself a multisensory, real-time voice agent that understands every um, er, pause, & interruption. See how in this demo from Daniel Mishler, Head of Deepgram Labs. And learn more from our Chief Product Officer, @edanuff, on the blog: deepgram.com/blog/voice-age…

Same Deepgram. Only louder.

Speaking is the most natural way to communicate. But for years, technology has asked us to meet it halfway.
Type this. Pick from a menu. Say it again, slower.

Deepgram has spent years closing that gap. Now our brand shows it.

Voice AI needed a brand worth talking about. Well, we’re here.

Let’s talk.

Building a real-time voice agent that holds a natural conversation requires a lot of orchestration under the hood.

Join our VP of Engineering Kris Efland and @pvergadia on Nov. 5 for a live look at the architecture behind production-ready voice AI.

Register: maven.com/p/eaefbf/build…