ACCRA, Ghana; San Francisco, CA – October 8, 2019 – Rancard, a leader in AI-powered conversational discovery has announced today the issue of U. S. Patent No. 10,440,143 for a Contextual Trust-Based Recommendations Graph. The patent describes different types of social molecular formations that yield relevant and serendipitous recommendations for users.
Rancard’s Rendezvous platform is built on the Neo4j graph database and delivers the experience via its R2 AI platform in Facebook Messenger and other conversational channels.
Commenting on the issue of the patent, Co-founder and Executive Vice-Chairman Kofi Dadzie stated: “years of investment in R&D and a focus on our mission to connect the world’s leading brands to relevant audiences has culminated today in the realization of this very significant IP, which highlights the next wave of innovation in AI-enabled engagement.”
The Rendezvous conversational AI experience is also available for direct integration by online brands via eCommerce and customer service platforms such as Shopify and Zendesk.
Rancard enables global brands to connect with relevant audiences via AI-powered conversational product and service discovery.
The company’s patented Rendezvous graph technology and R2 AI platform enable over 450,000 users in more than 80 languages with conversational AI engagement with brands Jumia, Amazon, Macy’s, Walmart, Best Buy, Apple iTunes, with merchants on Shopify, Zendesk and on mobile carriers such as MTN, Vodafone.
Rancard historically revolutionized mobile value-added services with a carrier-grade cloud-based service delivery platform, connecting Google, MTV, BBC, ESPN, VOA and other major brands to mobile carriers across 3 continents and 25 countries.
Backed by investment firms Intel Capital, Adlevo and Peninsula Capital, Rancard has operations in Accra, San Francisco, Lagos and Port Louis.