Trademark Overview
On Tuesday, May 26, 2026, a trademark application was filed for AIMBIENT with the United States Patent and Trademark Office. The USPTO has given the AIMBIENT trademark a serial number of 99845187. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Tuesday, May 26, 2026. This trademark is owned by Surgical Safety Technologies, Inc.. The AIMBIENT trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Software as a service (SAAS) services featuring software using artificial intelligence (AI) for receiving, recording, synchronization, electronic file generation, and analysis of multiple inputs, namely, audio, video, numeric data, and patient physiology data from surgical devices and environmental factors in surgical operating theatres, in real-time and during post-surgical procedures; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for managing, applying, analyzing, scheduling, and training in connection with hospital management systems and hospital staff, namely, for recording errors, adverse events, human performance assessment, technology performance assessment, generation of human and technology performance recommendations, and analysis of efficiency levels
Downloadable computer software using artificial intelligence (AI) for receiving, recording, synchronizing, generating electronic files from, and analyzing multiple data inputs, namely, audio, video, numeric data, patient physiology data, device data, workflow data, staffing data, scheduling data, and environmental data from healthcare facilities, surgical operating rooms, procedural areas, perioperative environments, and hospital operations, in real time and after clinical procedures; Downloadable computer software using artificial intelligence (AI) for analyzing, managing, optimizing, forecasting, scheduling, training, and improving hospital operations, clinical workflows, staff coordination, human performance, technology performance, patient throughput, resource utilization, operational efficiency, quality improvement, adverse event identification, error detection, performance assessment, and generation of human, technology, workflow, and operational recommendations
