Trademark Overview
On Monday, March 17, 2025, a trademark application was filed for DATOLOGY with the United States Patent and Trademark Office. The USPTO has given the DATOLOGY trademark a serial number of 99087747. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Monday, March 17, 2025. This trademark is owned by Datology AI, Inc.. The DATOLOGY trademark is filed in the Advertising, Business and Retail Services, Computer & Software Products & Electrical & Scientific Products, and Computer & Software Services & Scientific Services categories with the following description:
Downloadable computer software for data science and data management, namely, downloadable computer software used to analyze, curate, filter, and improve the quality of data for training artificial intelligence, machine learning, and business implementation systems; Downloadable computer software for analyzing machine learning datasets
Business consulting services in the field of data analytics, namely, analyzing, curating, filtering, and improving the quality of data for training artificial intelligence, machine learning, and business implementation systems; Business research and data analysis services in the field of data analytics, namely, analyzing, curating, filtering, and improving the quality of data for training artificial intelligence, machine learning, and business implementation systems; Providing business advice and information in the field of data collection, management, and use
Computer software consulting; Software development consulting in the field of data science and data management; Software development and product development consulting in the field of data science and data management; Consulting services in the field of design, selection, implementation and use of computer hardware and software systems for others; Providing on-line non-downloadable software for data science and data management, namely, providing online, non-downloadable software used to analyze, curate, filter, and improve the quality of data for training artificial intelligence, machine learning, and business implementation systems