Today we released our Voice Agent API, the world’s only enterprise-ready, real-time, and cost-effective Conversational AI API. If you're building voice agents and you’re tired of the demo day stitching: . STT → LLM → Orchestration → TTS → Hoping it works. We killed it

Tired of "Press 1 for. "? Your customers are too. Explore how conversational voice AI agents enable seamless customer interactions that understand context, not just keywords. 📅 Live webinar on July 16th with @cognigy. Sign up:

RT @rheejust: Here's our full case study:

RT @rheejust: @TomaAuto is achieving 75%+ call resolution rates for auto dealerships nationwide by hosting @DeepgramAI's Nova 3 model throu….

AI is making its way into the world of healthcare. In this article, medical professionals can learn how to accurately transcribe doctor-patient conversations using a specialized Speech-to-Text model (Nova-3 Medical). Then, you can discover how to use powerful LLMs (OpenAI’s

To build a real-time transcription application, you need two main components: a beautifully intuitive frontend UI and a backend server which hosts the speech-to-text (STT) AI models. And if you want to build one yourself with React and Deepgram, check out this article!. Link:

At Deepgram, we've been exploring how voice interfaces can transform the developer's experience into something even more natural and powerful. Recently, our dev team tried replacing typing with talking. and it's working! In fact, it works so well that we wrote an article on it.

Built on Deepgram’s voice AI stack for builders who want:. - fewer clicks. - more speed. - better flow. Try it now and share your feedback >

This isn’t an AI sidebar. Saga is a voice-native layer for your stack, built to keep you in flow so simply speaking can:.- Generate Cursor prompts.- Rewrite PRs and tickets.- Pull CSS from Figma.- Query teammates, code and docs.

Powered by MCP, Saga listens to chained commands like:. “Find the ticket about integrations, mark it as in progress, and send a slack update.”. …and actually executes in one go across tools like Cursor, PagerDuty, Slack, Jira, and Google Docs.

Introducing Deepgram Saga: The Voice OS for Developers. Saga lets you control your workflow with natural speech. No more alt-tabbing. No more click-chains. Just say it and watch us work.

That fragmentation is really mentally expensive. It kills flow and slows down builds. Time to fix it!.

Developers lose up to 40% of their day to context switching. Tabs. Clicks. Shortcuts. The modern stack is powerful but fragmented, and we’re all paying the productivity “quiet tax” every day.

RT @bevenky: 🔥 Our @plivo Bangalore team member just built a voice AI agent that handles package deliveries using our brand new AI platform….

RT @davitb: 7/ @DeepgramAI launches enterprise-ready, real-time voice agent API. New APIs are lowering the barrier to enterprise voice AI—e….

Building voice agents used to mean duct-taping models and orchestration together. Then crossing your fingers in prod. 🤞 . We built something better, ready for production, not demo day: .–Unified speech-to-speech runtime (STT + LLM + TTS all built-in) .–Real-time streaming.

Balanced performance across the full stack beats optimizing individual metrics in isolation. With VAQI we’ve proven that the feel of a conversation can be captured, scored, and tracked over time-turning casual opinions into hard data. Dive deeper into VAQI:.

VAQI uses real-world audio (i.e. drive-thru ordering) with background noise, natural pauses, etc. Our testing revealed why sub-300ms STT means nothing if your LLM stalls for 4 seconds. See the side-by-side demos of Deepgram, OpenAI, & ElevenLabs.

We built the Voice Agent Quality Index (VAQI) to replace gut-feel with hard metrics. It's a 0-100 composite score that weights:.–Interruptions (40%).–Missed responses (40%).–Latency (20%).

Voice agents fail when conversations feel broken: interruptions mid-sentence, awkward silences, missed response cues. The problem isn't transcription–it's timing. Teams fall back on "That demo sounded pretty good" because measuring conversation flow is hard. Until now. 🧵👇.

This is the real time runtime layer for production-grade, scalable voice agents. We’re excited to see what you build. Learn more: Sign up to start building: