Deepgram

The wait is finally over, and we're thrilled to present Aura — the first text-to-speech model built for responsive, conversational AI agents and apps. 🗣️ Read the full announcement: https://lnkd.in/g4ra5vMq Over the last year, we've heard our customers' heartache about the current crop of text-to-speech products, citing roadblocks related to speed, cost, reliability, and conversational quality. “Deepgram and Groq share the belief that speed and efficiency are the missing ingredients in unlocking natural AI for daily use by everyone, as evidenced by the recent viral reception to ultra-fast LLMs when made available for the first time. Their voice AI models are prime examples of what can be achieved with the Groq API.” –Jonathan Ross, CEO & Founder of Groq That's where Aura comes in. Designed to handle real-time conversations at scale, developers can create realistic AI agents to support seamless interactions across various cases, from voice ordering systems to customer support. Aura checks all of the boxes: ✅ Lightning-fast speed with less than 250 ms latency ✅ High-quality voices with natural-sounding tone, rhythm, and emotion ✅ Cost-efficient for high-throughput applications Check out our open-source interactive demo: https://lnkd.in/gMJTDWE8 We're eager to see how Aura will fuel the next wave of AI innovation, and can't wait to see what you build!

Winning the UnitedHealthcare and Optum Global Innovation Challenge is no small feat! Huge congrats to our customer, Humach for this incredible recognition of their mAI Pilot platform. We're honored to support their groundbreaking work in transforming customer interactions with voice AI. 🚀

Traditional medical documentation methods are often time-consuming, prone to errors, and can detract from quality patient care. Our latest article explores how speech-to-text technology addresses these issues head-on, streaming workflows and improving healthcare delivery. Dive in: https://lnkd.in/gVAbTySZ #medicaltranscription #AI #healthtech

Some of our AI workflows are crazy gnarly... 🫣😬 A ton of people have been asking me about it. Where do you start? How do you build them? What is the best use cases? We've built literally hundreds of AI workflows with experts in the loop. Here's how we think about it... 📥 Inputs - Unique information and knowledge that go into a flow. 🛠️ Input Processors - Enhancing or modifying inputs to make them better or different. 🔢 Variables - Constants or inputs used across multiple elements like company description, voice/tone, or examples. 📝 Planners - For complex tasks, this helps layout the plan to execute, like an article outline. 🔨 Doers - The workhorse that actually completes the task at hand. 🧐 Critics - Evaluates if the output meets the set standards and suggests improvements. 🎨 Adapters - Adjusts or formats the output to better fit needs (voice, tone, format, linking). 🔄 Post Processors - Performs additional passes as needed that are better done at the end. 👆 Anything I missed? PS. I'm doing a webinar with live demos and showcase of a bunch of the workflows we've built that are delivering tons of value. Link in comments... PPS. I have some cool prompts I'm starting to collect. If you're interested, happy to send it over. Just comment below 🦾

These results are WILD!!! 🤯 So... earlier this year Deepgram 30x their traffic with a unique blend of AI workflows + experts in the loop. Since then, several other startups have seen similar success with this approach (check it out below!) Now we're starting to apply this same approach to every GTM function, from sales to customer success and beyond. Many people have been asking me about it so I'm doing a live session to explain the approach and demo tons of cool workflows that we've built like... → AI personalized automated outbound → Auto company and buyer researcher → Call to case study generator → Product documentation writer → New customer onboarding health → Support ticket classifier → Article outline generator I'll post the link to register in comments. Any questions you want me to answer during the webinar?

The journey of creating AirOps was driven by a desire to leverage low-code tools and AI models. CEO & co-founder Matt Hammel shared with us how he and the team sought to empower individuals to make a big impact by providing the right resources & tooling. 

Our latest AI Minds Podcast features Benjamin Gleitzman, CTO & Co-founder of Replicant, a conversational AI platform revolutionizing customer service interactions. From DJing for LCD Soundsystem and founding an art gallery dedicated to computer code, to AI entrepreneur, Benjamin’s journey is as unique as it is inspiring. Give it a listen👇 https://lnkd.in/g4RgGxVQ #AIMindsPodcast #AIMinds #ConversationalAI

We're thrilled to be working with conversational AI pioneers like our partner Five9 to help companies build high performing voice bots at scale! Our Nova-2 speech-to-text model is now generally available within Five9 IVA Studio 7, making it easy for Five9 customers to power their voice bots with best-in-class transcription. This integration provides even greater accuracy on alphanumeric inputs, commonly encountered in self-service interactions. Together, our solutions are unlocking groundbreaking conversational AI solutions to enable next-generation customer experiences. 🚀 Read more about the partnership here: https://lnkd.in/ghGhVCFX

Our friends over at Simli put a face to our Aura voices to bring our AI Agent to life using their Audio-to-Video API. Looking good! 😎

Catch the latest AI Minds Podcast episode featuring Nathan Jr Eno, Founder & CTO at Islington Robotica. Hear how Nathan built a fleet of robotic companions to tackle loneliness and educate children through voice. Listen here👇 https://lnkd.in/eDzUDhZx Catch up on all of the episodes here: https://lnkd.in/gxscqfCW