Workorb AI utilizes Graph Large Language Models (LLMs) to navigate and decipher intricate relationships within enterprise structures. Its primary objective is to mitigate the hurdles encountered by customer-facing teams by automating repetitive tasks and enhancing outcomes in sales, upselling, and service.
By analyzing both internal and external communications, such as emails, chat messages, files, and calls, the tool furnishes a comprehensive grasp of multi-year, multi-party B2B customer relationships. Acting as a virtual employee, it meticulously tracks and logs every interaction, furnishing factual details and streamlining complex customer-related tasks. Through harnessing the capabilities of Graph LLMs, Workorb AI adeptly connects data points and tracks conversation flows across diverse platforms like email and Slack, discerning patterns and relationships.
This functionality empowers the tool to streamline intricate tasks and offer valuable insights into enduring relationships. Founded by Nilesh Bansal and Nick Koudas, distinguished figures in machine learning and text mining, with a collective portfolio boasting over 200 research publications and patents, Workorb AI is the culmination of their expertise. Their previous successful ventures, including Sysomos and Aislelabs, have catered to major enterprises with social media analytics powered by advanced machine learning.
By squarely addressing the challenges inherent in selling to and managing enterprise customers, Workorb AI equips customer-facing teams with the tools needed to gain a comprehensive understanding of their relationships and drive efficiency improvements.
