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Agora and WIZ.AI launch multilingual AI agents

Newsflash Asia

- June 26, 2025

Agora, a US-based real-time engagement technology provider, has announced a strategic partnership with Singapore’s WIZ.AI to introduce AI-powered customer engagement solutions. This collaboration, unveiled today, seeks to address the rising demand for scalable automation in customer service, enabling enterprises to manage interactions across multiple languages and regions efficiently.

The partnership combines Agora’s ultra-low-latency communication infrastructure with WIZ.AI’s scenario-driven voice AI technology. This integrated platform is designed to automate large volumes of customer interactions, supporting real-time, natural conversations in various local languages and dialects. WIZ.AI’s solutions are already utilised by major banks, insurers, and telecom companies across Southeast Asia.

According to Gartner, by 2029, agentic AI is expected to autonomously resolve 80% of customer service issues, potentially reducing operational costs by 30%. This highlights the market’s shift towards AI-driven customer engagement, a trend Agora and WIZ.AI aim to capitalise on with their new solution.

Tony Zhao, CEO and Co-founder of Agora, emphasised the partnership’s potential to enhance service levels whilst managing costs. “Our collaboration is about delivering AI agents that are reliable, multilingual, and capable of real-time communication even under challenging network conditions,” Zhao stated.

Jennifer Zhang, President and Co-founder of WIZ.AI, added that their combined technologies enable AI agents to understand context and adapt mid-conversation, providing consistent service across regions. The solution targets sectors such as financial services, telecommunications, and retail, where efficient management of large-scale customer interactions is crucial.

This partnership marks a significant step in the evolution of customer service automation, promising to reshape how global companies engage with their customers.
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This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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