Trademark Overview
On Friday, February 13, 2026, a trademark application was filed for PERGAMON with the United States Patent and Trademark Office. The USPTO has given the PERGAMON trademark a serial number of 99651208. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Friday, February 13, 2026. This trademark is owned by MGNM. The PERGAMON trademark is filed in the Computer & Software Products & Electrical & Scientific Products, Advertising, Business and Retail Services, and Computer & Software Services & Scientific Services categories with the following description:
Business consultancy services; Management and compilation of computerised databases; Advice and information concerning commercial business management; Providing business information; Business research; Market research and business analyses; Employment recruiting consultation; Employment recruiting services; Personnel placement and recruitment; Human resources consultancy; Human resources management
Software as a service (SAAS) services featuring software for training, benchmarking, testing, validating, and evaluating artificial intelligence models, machine learning systems, and reinforcement learning systems; Providing temporary use of a non-downloadable web application for operating digital simulation environments, artificial intelligence testing platforms, and model evaluation frameworks; Design and development of computer software applications; Scientific and technological services, namely, research and design in the field of artificial intelligence, machine learning systems, reinforcement learning environments, and digital simulation platforms
Downloadable computer software for creating, operating, and using digital simulation environments for training, benchmarking, and validating artificial intelligence and machine learning models; Downloadable computer software for reinforcement learning environments and artificial intelligence performance evaluation, including reinforcement learning from human feedback (RLHF); Data sets in the field of training, validating, and benchmarking artificial intelligence and machine learning models recorded on computer media
