Agora, Inc., a global leader in real-time engagement and conversational AI, announced the integration of Murf AI’s text-to-speech (TTS) technology into the Agora Conversational AI Engine, expanding its ecosystem of AI providers and empowering developers and enterprises to build more natural, responsive, and production-ready voice agents at global scale.
As conversational AI adoption accelerates across customer service, outbound engagement, AI assistants, and voice-first applications, the industry is reaching a new inflection point. Delivering intelligent responses is no longer enough – enterprises must ensure that conversations sound natural, respond instantly, and remain reliable across global networks and real-world environments. Many existing architectures are not optimized for real-time AI interaction, creating latency, orchestration, and deployment challenges that make it difficult to move from prototype to production at scale.
Expanding the Voice Layer of Real-Time Conversational AI
Agora’s Conversational AI Engine provides a unified orchestration layer that connects Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Text-to-Speech (TTS) providers on top of Agora’s globally distributed Software-Defined Real-Time Network (SDRTN®). This architecture allows developers to combine best-in-class AI models while maintaining the ultra-low-latency performance required for real-time conversations.
With the integration of Murf AI, developers get access to expressive, production-grade voice generation built for latency-sensitive workloads. The API delivers 130ms time-to-first-audio, broad multilingual coverage, and data residency across 11 global geographies, making it a practical fit for contact center automation, real-time virtual assistants, and conversational AI at scale. Developers can now access expressive, customizable, and multilingual text-to-speech voices directly within the Conversational AI Engine. Murf’s voice generation technology supports more natural dialogue, improved personalization, and consistent audio quality across real-time customer interactions, enterprise contact center automation, virtual assistants, and large-scale conversational AI deployments.
Unlike traditional playback-based speech systems, voice generated through the Conversational AI Engine can be streamed, interrupted, resumed, and adapted dynamically – allowing AI agents to follow the flow of real conversation rather than static audio output.
An Open Ecosystem for Production-Ready Voice Agents
The integration reflects Agora’s open ecosystem approach to conversational AI, where enterprises can choose the best providers for speech recognition, language intelligence, and voice generation without being locked into a single model or vendor. By adding Murf AI as a supported TTS provider, Agora continues to expand the flexibility of its platform while ensuring that voice interactions can be delivered globally with carrier-grade reliability and sub-second latency.
“Real-time conversational AI requires more than intelligent models – it requires infrastructure that can deliver voice instantly, reliably, and at global scale,” said Mr. Tony Wang, Co-Founder and Chief Revenue Officer at Agora. “By integrating Murf AI into the Conversational AI Engine, we are expanding our ecosystem and giving developers more control over how voice agents sound while ensuring they can be deployed in production environments without compromising latency or quality.”
For Murf AI, the integration brings its expressive speech generation technology into real-time conversational environments, powering voice experiences that go beyond offline audio generation.
“Voice plays a critical role in making AI interactions feel natural and engaging,” said Mr. Ankur Edkie, Co-Founder and CEO of Murf AI. “Partnering with Agora allows our text-to-speech technology to operate in real-time conversational systems, helping enterprises create voice agents that are more human-like, customizable, and ready for global scale.”
Enabling the Next Generation of Voice-First Applications
Together, Agora and Murf AI allow developers to build conversational AI applications that combine real-time communication, advanced language models, and high-quality voice synthesis in a single production-ready stack. The integration supports enterprise use cases including customer support automation, sales outreach, virtual assistants, training systems, and multilingual engagement across web, mobile, contact center, and AI-native devices.
By expanding its conversational AI ecosystem, Agora continues to simplify the path from prototype to real-world deployment – allowing organizations to build voice agents that remain natural, responsive, and reliable across global networks, high-volume interactions, and production environments.
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