Deepgram

“By leveraging Deepgram through AWS Marketplace, we avoided the need for direct licensing and self-provisioning, which helped us sidestep operational inefficiencies like upfront server costs and additional operating expenses from multiple vendors,”

“Voice AI has advanced rapidly, but production deployment has remained challenging due to telecom complexity, latency, and limited control during live conversations. Voximplant removes these barriers by handling the real telephony and media infrastructure, while exposing Deepgram’s full Voice Agent stack for low-latency voice AI conversations”

“Out of all of the Text-to-Speech options we expose on Vida’s Business AI Agent OS, Deepgram’s Aura-2 TTS engine provides the highest quality at the lowest price. We recommend it over alternatives to our customers.”

““STT and TTS alignment is increasingly important as voice agents rely on consistent entity handling across both inbound and outbound directions. Deepgram’s multilingual STT combined with Aura-2 TTS ensures consistent behavior across languages, improves latency, and simplifies operations. This was a significant factor in our decision.””

“NICE supports some of the world's most complex contact center environments, where voice AI quality has to hold up across long, unpredictable customer interactions. Deepgram Flux TTS gives us a text-to-speech model designed for nuance, with the ability to carry context and consistency across a multi-turn conversation.”

“At Cloudflare, we understand what it takes to deliver real-time experiences at global scale. Flux represents the next evolution, purpose-built conversational speech recognition that eliminates the complexity and latency bottlenecks of traditional pipelines.”

“Twilio’s flexible orchestration capabilities and global communications infrastructure combined with speech recognition powered by Deepgram APIs deliver seamless, low-latency, and human-like AI agent experiences that are powering today’s Voice AI renaissance.”

“They don’t just chase generic benchmarks; they tailor their models to deliver on the metrics that really matter to us.”

“Our voice capabilities powered by Deepgram APIs deliver the accuracy, low latency, and quality our customers need to build reliable, real-time voice agents.”

“We were really impressed by the service, responsiveness, and general rapport of the Deepgram team complemented with superlative results of the speech recognition testing; it put them over the top.”

““When we began acting on interim transcripts and combined that with word timestamps, the agent could trigger API calls and follow-ups mid-utterance,” said Pratik Mundra, co-founder of SigmaMind AI. “That shift unlocked much richer, multi-step voice workflows.””

“The trained model feature was especially a game changer for our customers, as they could generate even more accurate transcriptions based on the type of data or keywords that mattered most to them.”

“When we compared the result to our previous solution, the difference was night and day,”

“We believe that a better agent experience leads to a better customer experience, and that starts with providing agents with the tools and resources they need in one place,”

““IT teams love Deepgram’s speed and accuracy, while technology teams appreciate how the platform doesn’t use the same open-source space that other vendors do, which helps with the total cost of ownership,” said Ellis. “Compliance users are laser-focused on ensuring that their customer-facing users adhere to compliance rules, which Deepgram’s high-quality transcripts enable them to do. And on the contact center side, the platform allows them to examine customer experiences both from a sales and an inbound service perspective, which helps them with training and coaching.””

““We pride ourselves on how fast we can capture audio and deliver it to any best of breed analytics application, and Deepgram had a similar mentality when it came to the speed and high-quality of its transcriptions,” said Ellis. “Especially during the COVID-19 pandemic, we’ve seen great growth in our healthcare customer segment, and customizable transcriptions are especially critical for those organizations.””

““An urgent need for improved scale and performance drove us to find a new ASR solution,” said Pete Ellis, Chief Product Officer at Red Box. “We could see that the requirements for our more high-end users, who employ 30 to 40 thousand call center agents, needed a more elegant and performant architecture in their software solutions.””

“Deepgram is a core part of our offering, and it will remain so. We have found more than a STT solution but a partner in Deepgram to help us innovate and improve upon our offering.”

““The accuracy of Deepgram’s transcriptions has been invaluable,” says Leah Tillyer. “It’s helped us create market leading analytics that also ensure compliance. Our customers can trust the insights they derive from their call data.””

““Deepgram is the most accurate speech vendor we evaluated,” notes Matthew Yates. “Their technology has significantly improved our transcription accuracy, enabling us to deliver better insights and enhance our service offerings.””

“"Just gave it a whirl, pretty neat. Worked much better than my previous experience with the AI voice models."”

“"Over the course of about a week after introducing Deepgram’s Nova‑3 model, the quality of the voice experience improved noticeably. Now, when it returns a high‑confidence score, we know we can trust the transcript without question."”

“Deepgram's real-time transcription accuracy enables improved call resolution and higher self-service containment rates without the need for a live agent, resulting in substantial cost savings for our customers.”

“In a call center context, we don’t see ourselves as benchmarking with other technologies but rather with the experience offered by a great human operator. That is the level of sophistication we want to deliver and the benchmark against which we compare ourselves. We’ve got to provide a great caller experience, every time.”

“Our competitors have come out of the call center space, and really they’ve built on top of rudimentary products to try and get to something that can interact naturally. We’ve come at it the other way. Elerian AI is striving to achieve genuine open-domain conversation capability, which is the ability to talk to technology about any topic. We have built AI that develops human models to understand people individually and support their decision-making”