I use speech-to-text often in the mornings when I think of something during my morning walks. However, text-to-speech isn’t useful for me—but it could have many enterprise use cases. I first heard of Deepgram in January this year. This news makes one-per-month since. They’ve been busy. I haven’t used it, but it sounds useful.
From the company’s press release—Aura-2 Beats ElevenLabs, Cartesia, and OpenAI in Preference Testing for Conversational Enterprise Use Cases, Delivering Natural, Context-Aware Speech Synthesis with Unmatched Clarity, Speed, and Cost-Efficiency for Real-Time Enterprise Interactions
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.
Enterprise applications require more than natural-sounding voices—they demand domain-specific pronunciation, a professional tone, consistent contextual handling, and the ability to perform reliably, cost-effectively, and securely—often in environments that require full deployment control.
Aura-2 delivers high-quality, context-aware speech designed for the scale, precision, and resilience that business-critical environments demand. Unlike entertainment-focused systems optimized for creative expression, Aura-2 reflects the priorities of enterprise voice AI, delivering benefits across key dimensions:
- Domain-Specific Pronunciation Excellence – Aura-2 ensures precise handling of industry terminology, accurately pronouncing healthcare terms, financial jargon, product names, and complex numerals without special tagging. This built-in accuracy eliminates the need for extensive pronunciation dictionaries or manual intervention, ensuring clear communication in specialized fields where precision matters most.
- Professional Voice Quality & Naturalness – With 40+ distinct voices spanning U.S. English and localized accents, Aura-2 delivers authentic, business-appropriate speech that avoids the overly theatrical tones common in entertainment-focused TTS. Organizations can select consistent voice personas—from “empathetic and charismatic” to “calm and professional”—that align with their brand identity across all customer touchpoints. Support for additional languages is already in development to further expand global reach.
- Context-Aware Delivery – Aura-2 intelligently adjusts pacing, pauses, tone, and expression based on context—whether delivering a phone number, handling a support escalation, or navigating a transactional interaction. The result is smooth, coherent speech with uniform volume and crisp articulation throughout.
Explore the blog for an in-depth breakdown of Aura-2’s capabilities: https://deepgram.com/learn/introducing-aura-2-enterprise-text-to-speech
Watch a fun demo of Deepgram’s voice agent API
