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Yellow.ai Debuts in Everest Group’s Conversational AI PEAK Matrix

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A world’s leading customer experience (CX) automation platform – Yellow.ai –  announced it has been debuted as a Major Contender in the Everest Group’s Conversational AI Products PEAK Matrix® Assessment 2021. The company has experienced 470% growth in recurring revenue in just over a year while securing hundreds of new customers.

Raghu Ravinutala, CEO and Cofounder, Yellow.ai, said, “We are thrilled to have made such an auspicious debut–beating out hundreds of other providers–in Everest Group’s PEAK Matrix for Conversational AI, a space we have been redefining with ongoing enterprise-grade chat and voice bot innovations that weave in the best of AI and human intelligence for highly differentiated and elevated customer experiences. Such immediate recognition of our industry leadership shows just how uniquely positioned we are to deliver on the growing and ever-sophisticated needs for Conversational AI products that can support a rapidly expanding set of use cases and custom needs for today’s forward-looking organizations.”

PEAK Matrix measures Conversational AI products based on market impact (their adoption and value delivery through portfolio mix), vision and capability (their implementation and support through technology capabilities, execution and monitoring, and breadth of services), and marketing impact. As a major competitor in Conversational AI platforms, Yellow.ai’s AI-powered voice and chatbots automate functions such as Customer Support, Customer Engagement, Conversational Commerce, and Employee Experience.

With artificially intelligent voice bots, the company’s system can understand sentiments, intent, behavior, and can also customize pitch, tone, excitement, and other aspects, so that it surpasses expectations. As a result, Yellow.ai can reduce handoffs between humans and AI within a matter of days, achieving 60% automation within the first 30 days, using all human responses.

The Conversational AI solutions from Yellow.ai combine natural language processing and natural language understanding, multi-factor intent recognition, and deep learning-based insights to deliver a comprehensive customer experience.

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