Trademark Overview
On Friday, June 6, 2025, a trademark application was filed for BILGE AI with the United States Patent and Trademark Office. The USPTO has given the BILGE AI trademark a serial number of 99222733. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Friday, June 6, 2025. The BILGE AI trademark is filed in the Computer & Software Services & Scientific Services and Computer & Software Products & Electrical & Scientific Products categories with the following description:
Downloadable software and integrated hardware systems powered by artificial intelligence (AI), designed to optimize urban infrastructure operations, including real-time parking space detection and management; analysis and monitoring of driver behavior; automatic detection of traffic violations such as illegal parking, speeding, and unauthorized lane usage; and coordination of citywide smart sensor networks. The system enables automated communication between vehicles, street-level devices, and municipal control hubs for data-driven decision-making. It includes modules for dynamic traffic flow management, energy-efficient control of public resources, and the deployment of IoT-connected enforcement technologies. All components are built to function within a unified AI ecosystem intended for smart city development and scalable municipal automation.
Providing temporary use of non-downloadable software as a service (SaaS) powered by artificial intelligence for managing and optimizing urban infrastructure systems, including but not limited to real-time vehicle tracking, automated traffic rule enforcement, smart parking management, environmental monitoring, noise detection, and municipal automation; platform as a service (PaaS) featuring AI-driven data models for use in smart city applications such as predictive crowd flow management, energy distribution optimization, emergency response coordination, and infrastructure diagnostics; development, deployment, and integration of AI-based computer vision algorithms and intelligent sensor networks for large-scale urban control systems; cloud-based dashboards and APIs for city officials to manage, visualize, and act upon real-time urban data streams and event triggers.
