Laiye, a global company dedicated to helping organisations achieve their full potential with Intelligent Automation solutions, announced its position as a “Major Contender” in the Everest Group Conversational AI Technology Vendors PEAK Matrix® 2021.
Laiye’s chatbot models are deployed through an easy-to-use visual interface, and integrate with multiple conversational user interfaces such as official websites, mobile apps, instant messaging platforms and Internet of Things (IoT) devices. These models are continuously improved by real data, and Laiye’s accumulated knowledge base and project experience in multiple industries enables high accuracy levels of over 95%.
Everest Group is one of the top international research firms focused on IT, Business Operations, and Engineering Services, helping clients gain insight into how they can solve their toughest procurement and digital transformation challenges. For the first time, the PEAK Matrix® report is focusing on conversational AI products, assessing 20 leading conversational AI technology vendors based on their vision, capability and market impact in different global service markets. The vendors are classified into three categories: Leaders, Major Contenders, and Aspirants.
Laiye’s conversational AI solution offers advanced capabilities, such as pre-built intents and ontologies for multiple industries and use-cases, support for voice capabilities, and tracking of customer behavior through analytics. Further, its investments in areas such as machine reaching comprehension technologies and a strong ecosystem of resellers allows it to address a huge demand for conversational AI support.
According to Everest, Laiye has made continuous commitments to improve its existing products, technology, and service while increasingly investing in Machine Reading Comprehension. It also has pre-built ontologies and intents for several industries such as retail, healthcare and insurance. Meanwhile, Laiye stands out from the competition due to its powerful partner ecosystem and distribution system that are better able to support the growing demand for conversational AI.
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