Articles from Deepgram

Deepgram, the world’s most realistic and real-time Voice AI platform, today announced that TMC, a global, integrated media company, has named its Deepgram Aura-2, the world’s most professional, cost-effective, and enterprise-grade text-to-speech (TTS) model, a 2025 Customer Experience Innovation Award winner, presented by TMC’s CUSTOMER magazine.

VapiCon 2025 – Deepgram, the world’s most realistic and real-time Voice AI platform, today announced from VapiCon 2025 the launch of Flux, the world’s first conversational speech recognition (CSR) model designed specifically for real-time voice agents. Unlike traditional automatic speech recognition (ASR), which was built for transcription use cases like captions or meeting notes, Flux is trained to understand the nuances of dialogue. It doesn’t just capture what was said. It knows when a speaker has finished, when to respond, and how to keep the flow of conversation natural and engaging.

Deepgram, the leading voice AI platform for enterprise use cases, today announced that Abby Connect, a premier virtual receptionist service, has successfully launched its new AI Receptionist product line built on Deepgram’s real-time speech-to-text technology. By choosing Deepgram, Abby Connect is scaling its high-touch customer experience while meeting the demanding needs of industries such as law, healthcare, and home services.

Deepgram, the world’s most realistic and real-time Voice AI platform, today announced it has achieved the Amazon Web Services (AWS) Generative AI Competency. This specialization recognizes Deepgram as an AWS Partner that helps customers and the AWS Partner Network (APN) drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies.

Deepgram, the world’s most realistic and real-time Voice AI platform, today announced it has been named to Fast Company’s seventh annual Best Workplaces for Innovators list, recognizing businesses that foster a culture of innovation across all levels.

Deepgram, the leading voice AI platform for enterprise use cases, today announced that TMC has named its Aura-2, the world’s most professional, cost-effective, and enterprise-grade text-to-speech (TTS) model, a winner of the 2025 Communications Solutions Product of the Year Awards.

Deepgram, the leading voice AI platform for enterprise use cases, today announced that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS). The multi-year agreement deepens Deepgram’s relationship with AWS and reflects a shared commitment to accelerating the development and adoption of generative voice AI. As part of the collaboration, Deepgram will expand co-selling and go-to-market efforts, integrate more deeply with AWS services, and empower enterprises to build scalable, high-accuracy voice applications across a wide range of use cases.

Deepgram, the leading voice AI platform for business use cases, today announced that TMC, a global, integrated media company, has named its Aura-2, the world’s most professional, cost-effective, and enterprise-grade text-to-speech model, a 2025 Contact Center Technology Award winner, presented by CUSTOMER magazine.

Deepgram, the leading voice AI platform for enterprise use cases, today announced that TMC, a global, integrated media company, has named its Nova-3 model a 2025 CUSTOMER magazine Voice AI Technology Excellence Award winner for setting a new standard for AI-driven speech-to-text.

Deepgram, the leading voice AI platform for enterprise use cases, today announced the launch of Deepgram Saga, a Voice Operating System (OS) designed specifically for developers. Saga is a universal voice interface that embeds directly into developer workflows, allowing users to control their tech stack through natural speech. Unlike traditional voice assistants that pull developers out of their flow, Saga sits on top of existing tools, transforming rough ideas into precise AI coding prompts, executing multi-step workflows across platforms via Model Context Protocol (MCP), and eliminating the constant context switching that fragments modern development.

Deepgram, the leading voice AI platform for enterprise use cases, today announced the launch of The Scott Stephenson AI Show, a new podcast hosted by Scott Stephenson, CEO and Co-Founder of Deepgram. In each episode, Stephenson explores the fast-changing world of artificial intelligence (AI), cutting through the hype and digging into what’s actually happening under the hood of today’s most powerful AI technologies. Stephenson brings his signature candor, industry insight, and curiosity to every topic, offering unfiltered perspectives on what’s working, what’s hype, and what’s next.

Deepgram, the leading voice AI platform for enterprise use cases, today announced the general availability (GA) of its Voice Agent API, a single, unified voice-to-voice interface that gives developers full control to build context-aware voice agents that power natural, responsive conversations. Combining speech-to-text, text-to-speech, and large language model (LLM) orchestration with contextualized conversational logic into a unified architecture, the Voice Agent API gives developers the choice of using Deepgram’s fully integrated stack (leveraging industry-leading Nova-3 STT and Aura-2 TTS models) or bringing their own LLM and TTS models. It delivers the simplicity developers love and the controllability enterprises need to deploy real-time, intelligent voice agents at scale. Today, companies like Aircall, Jack in the Box, StreamIt, and OpenPhone are building voice agents with Deepgram to save costs, reduce wait times, and increase customer loyalty.

Deepgram, the leading voice AI platform for enterprise use cases, today announced Chief Marketing Officer (CMO), Praveen Rangnath, will present, “Why Foundational AI is Crucial for Enterprise Conversational AI” during Kore.ai’s re:imagine 2025 conference, being held next week April 29 – May 2 in Orlando, Florida.

Deepgram, the leading voice AI platform for enterprise use cases, today announced Aura-2, its next-generation text-to-speech (TTS) model purpose-built for real-time voice applications in mission-critical business environments. Engineered for clarity, consistency, and low-latency performance, and deployable via cloud or on-premises APIs, Aura-2 enables developers to build scalable, human-like voice experiences for automated interactions across the enterprise, including customer support, virtual agents, and AI-powered assistants. Aura-2 is built on Deepgram Enterprise Runtime—the same infrastructure that powers the company’s industry-leading speech-to-text (STT) and speech-to-speech (STS) capabilities—providing enterprises with the control, adaptability, and performance required to deploy and scale production-grade voice AI. With Aura-2, Deepgram extends its leadership in enterprise speech technology to TTS, enabling businesses to deliver natural, responsive, and contextually accurate conversations at scale. Today, more than 200,000 developers and 1,200 companies, including Fortune 500 enterprises and voice AI startups like Jack in the Box, Vapi, and OneReach.ai, build on Deepgram.

HIMSS Conference Las Vegas – Deepgram, the leading voice AI platform for enterprise use cases, today announced the launch of Nova‑3 Medical, its next‑generation AI-powered speech‑to‑text (STT) model specifically engineered for the healthcare industry. Designed to meet the rigorous demands of clinical environments, Nova‑3 Medical enables developers to build highly accurate, customizable, and secure voice AI products and solutions tailored for healthcare settings. It seamlessly integrates with Deepgram’s enterprise runtime platform—including advanced text-to-speech (TTS) and speech-to-speech (STS) capabilities—providing a comprehensive suite of AI-driven tools that deliver enterprise-grade performance, adaptability, and cost efficiency. From streamlining clinical documentation to revolutionizing therapeutic scribing, Deepgram powers transformative medical transcription applications for industry leaders, driving exceptional outcomes across the healthcare spectrum.

Deepgram, the leader in enterprise-grade speech AI, today announced a significant technical achievement in speech-to-speech (STS) technology for enterprise use cases. The company has successfully developed a speech-to-speech model that operates without relying on text conversion at any stage, marking a pivotal step toward the development of contextualized end-to-end speech AI systems. This milestone will enable fully natural and responsive voice interactions that preserve nuances, intonation, and emotional tone throughout real-time communication. When fully operationalized, this architecture will be delivered to customers via a simple upgrade from our existing industry-leading architecture. By adopting this technology alongside Deepgram’s full-featured voice AI platform, companies will gain a strategic advantage, positioning themselves to deliver cutting-edge, scalable voice AI solutions that evolve with the market and outpace competitors.

Deepgram, the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) offerings, today announced record business growth and technical milestones achieved in the past year. Today, over 200,000 developers build with Deepgram’s voice-native foundational models, choosing Deepgram due to its unmatched accuracy, low latency, and pricing, as well as the flexibility for all voice-native AI models to be accessed through cloud APIs or self-hosted / on-premises APIs. Organizations that build on Deepgram’s infrastructure for STT, TTS, and AI Voice Agents include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases.

Deepgram, the leading voice AI platform for enterprise use cases, today announced the launch of Nova-3, its most advanced speech-to-text (STT) model to date. Nova-3 pushes the boundaries of AI-driven transcription, offering unmatched accuracy in challenging audio environments while offering flexible, self-service customization to tailor results for industry-specific needs. Trusted by industry leaders like Twilio, Jack in the Box, and Kore.ai, Deepgram’s infrastructure also includes powerful text-to-speech (TTS) and full speech-to-speech (STS) capabilities, offering a comprehensive suite of cloud or self-hosted APIs for seamless voice AI integration. Its full-featured platform and high-performance runtime include powerful automation and data capabilities—such as synthetic data generation and model curation—along with model hot-swapping and robust integrations, empowering developers to efficiently build and scale voice-enabled applications. With over 450 enterprise customers, Deepgram is powering the fast-growing enterprise voice AI market.

Deepgram, the leading provider of speech recognition, natural language processing, and generative AI solutions, today announced the public release of Aura, a text-to-speech (TTS) API that delivers human-like quality conversation that is faster and more efficient compute-wise than all voice AI alternatives. Aura is designed for developers who want to build real-time, conversational voice AI agents that can interact with customers, employees, and other users in a natural and engaging way.