Yellow.ai has unveiled VoiceX, bringing AI conversations closer to human-like interactions. Powered by large language models (LLM) and optimized for faster response times, VoiceX-enabled AI agents manage large volumes of customer inquiries while offering natural, contextually accurate responses.
“We developed VoiceX by rethinking our technology stack and implementing massive parallelization of services for optimal orchestration. For example, VoiceX is deeply integrated with our YellowG ecosystem, providing enterprises with access to our suite of LLMs. These LLMs power various functions of customer service automation, dynamically invoked based on the nature of the query and the required action,” said Rashid Khan, CPO and co-founder of Yellow.ai.
Unlike traditional voice bots, which struggle with limited conversational depth and usually sound mechanical, VoiceX offers a significant upgrade with human-like conversations. Older systems are hindered by rigid menu structures, slow response rates, and poor understanding of real-time context, which negatively impact user experience.
VoiceX overcomes these challenges by delivering a more intelligent and lifelike conversational and user experience. Its algorithm ensures latency as low as 1.3 seconds, resulting in AI agents that can significantly improve customer satisfaction by up to 40%, cut operational costs by 60%, and increase customer engagement by 60%.
Elsewhere, Yellow.ai has introduced Analyze to enhance bot interactions by providing comprehensive conversational insights and advanced self-learning features.
