Agora Partners with MiniMax on Voice AI
Agora, a provider of real-time engagement infrastructure and conversational artificial intelligence solutions, deepened ts partnership with MiniMax, bringing together MiniMax's text-to-speech (TTS) and multimodal foundation models with Agora's Conversational AI Engine and global, ultra-low-latency real-time delivery network.
MiniMax's TTS models are designed for expressive, controllable, and emotionally rich voice generation capable of supporting diverse languages, tones, and speaking styles. Agora complements this by turning AI output into real-time experience.
By integrating MiniMax TTS models with Agora's Conversational AI Engine and real-time audio pipeline, AI voices can be streamed, interrupted, resumed, and adapted dynamically, matching human conversation patterns rather than static playback.
The joint solution is already enabling production in the following use cases across:
- AI companions and smart devices requiring instant voice feedback.
- Real-time conversational agents for customer service and enterprise workflows.
- Interactive education and content platforms demanding natural speech and global reach.
- Multimodal AI applications where voice must synchronize with vision, emotion, and action.
Rather than forcing developers to stitch together models, playback engines, and networking layers, Agora and MiniMax offer a cohesive, end-to-end conversational AI foundation from text generation to real-time speech delivery.
"Conversational AI becomes truly powerful only when intelligence meets immediacy," said Tony Wang, chief revenue officer and co-founder of Agora, in a statement. "MiniMax brings world-class voice generation. Agora ensures that voice arrives instantly, naturally, and reliably anywhere in the world. Together, we're helping developers move from demos to real, scalable products."
"MiniMax has always focused on building AI that people want to interact with," said Linda Sheng, global business vice president at MiniMax, in a statement."Partnering with Agora allows our models to perform at their best in real-time environments, unlocking global use cases that demand both expressive AI and uncompromising delivery."