Deepgram, a leader in enterprise voice AI, has launched Aura-2, an advanced text-to-speech (TTS) engine engineered specifically for real-time, high-performance business applications. Built for clarity, speed, and low-latency interactions, Aura-2 is designed to revolutionize how businesses deploy scalable, natural-sounding voice experiences across customer service, AI assistants, and virtual agents.
Engineered for Enterprise Precision
Unlike entertainment-based TTS engines, which prioritize dramatization and emotion, Aura-2 focuses on professional-grade clarity and contextual accuracy. Its domain-specific pronunciation engine is capable of handling complex technical jargon, industry terminology, and numerical values without manual tagging or customization. This makes it ideal for sectors like healthcare, finance, and retail, where precise communication is critical.
Authentic Voice Personalization
With over 40 distinct voices featuring U.S. English and regional accents, Aura-2 offers brands the flexibility to match tone and persona—from charismatic to calm—to their unique customer engagement strategies. The consistent voice experience helps maintain brand identity across all touchpoints, whether it’s customer support or automated AI-driven conversations.
Intelligent, Context-Aware Speech Delivery
Aura-2 dynamically adjusts speech pacing, tone, and pauses based on context. Whether navigating a support ticket or delivering a transaction summary, the system ensures a natural, coherent flow of speech with uniform volume and crisp articulation. This context-aware delivery sets Aura-2 apart in delivering highly engaging and user-preferred voice experiences.
Built for Real-Time Scale
Optimized for production workloads, Aura-2 achieves sub-200 millisecond time-to-first-byte (TTFB), supporting thousands of concurrent requests while maintaining high fidelity. For organizations with stringent security or latency requirements, the platform supports flexible deployment across cloud, virtual private cloud (VPC), and on-premises environments.
Cost-Effective and Transparent Pricing
With a flat rate of $0.030 per 1,000 characters, Deepgram offers a highly competitive alternative to providers like ElevenLabs and Cartesia. All 40+ voices are included under a single pricing tier, eliminating hidden fees and simplifying budgeting for high-volume deployments. The cost-efficiency combined with performance makes Aura-2 a compelling choice for scale-focused businesses.
Powered by Deepgram Enterprise Runtime
Aura-2 runs on Deepgram Enterprise Runtime (DER), the same infrastructure that powers their industry-leading speech-to-text models. DER enables capabilities like model hot-swapping, real-time personalization, and extreme compression—allowing enterprises to iterate quickly while maintaining production uptime and performance.
Unified Voice AI Architecture
By sharing infrastructure with Deepgram’s STT models such as Nova-3, Aura-2 benefits from cross-model learning and consistent pronunciation across systems. This integration reduces the need for multiple vendors and simplifies development pipelines, enhancing speed and accuracy across the voice AI stack.
Driving Real-World Impact
Businesses like Stack AI, Vapi, and LockedIn AI are already leveraging Aura-2 to develop conversational agents that sound more human while maintaining enterprise-grade reliability. As one executive noted, the ability to deploy both STT and TTS under a unified system greatly streamlines integration and improves response times.
Explore Aura-2 in Action
Developers can test Aura-2 through an interactive playground and receive $200 in free credits—sufficient for generating over 13 million characters of audio. This hands-on access helps teams evaluate the platform’s capabilities in real-world scenarios before committing to full deployment.
Raising the Bar for Enterprise Voice AI
With Aura-2, Deepgram isn’t just offering another TTS engine—it’s setting a new standard in voice AI for business. From unmatched clarity to real-time performance and cost-efficiency, Aura-2 empowers organizations to craft voice experiences that are natural, responsive, and enterprise-ready.
Looking to explore even more advancements in enterprise cloud AI infrastructure? Discover how Crayon is partnering with Alibaba Cloud to transform global multi-cloud strategies.
