Trademark Overview
On Friday, March 7, 2025, a trademark application was filed for AII with the United States Patent and Trademark Office. The USPTO has given the AII trademark a serial number of 99073438. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Friday, March 7, 2025. This trademark is owned by Wethos, Inc.. The AII trademark is filed in the Advertising, Business and Retail Services and Computer & Software Services & Scientific Services categories with the following description:
Business Data processing services, namely inputting data pertaining to individual traits, professionality biases, and cognitive biases into a software data platform, to perform data analytics and machine learning of the data at both a consumer and enterprise level; Bioinformatics services, namely business data processing services in the nature of gathering data on a user and inputting into a software data exchange platform to provide both a consumer and enterprise insight into the individual and/or team; Analytics services, namely inputting characteristic data into a software data exchange platform, to perform data analytics and machine learning of the data at both an individual and enterprise levels
Computer services, namely, developing mobile or web-based applications and development kits that quantify traits, professionality biases, and cognitive biases, of individuals and teams, to provide insights that help improve performance; SAAS and AI as a service (AIAAS) featuring software for quantifying traits, professionality biases, and cognitive biases, of individuals and teams; Providing temporary use of on-line non-downloadable software, cloud-computing software, or on-line non-downloadable software development tools for use in performing data analytics, applying neural networks, or using neural networks, language models, AI and/or machine learning for providing insights that quantify traits, professionality biases, and cognitive biases, of individuals and teams and help improve performance of individuals, teams, and companies, by using information about individuals and/or teams as data inputs, including demographics, traits, professionality biases, and/or cognitive biases
