Trademark Overview
On Monday, March 23, 2026, a trademark application was filed for HELIXE with the United States Patent and Trademark Office. The USPTO has given the HELIXE trademark a serial number of 99719709. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Monday, March 23, 2026. The HELIXE trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Downloadable software for autonomous unmanned aerial vehicle navigation using artificial intelligence world models for real-time environment perception and prediction; downloadable software featuring trained world models for deployment on edge computing devices onboard unmanned aerial vehicles for autonomous perception, navigation, and decision-making; downloadable software for Global Positioning System (GPS)-denied navigation of unmanned aerial vehicles using predictive world models, onboard sensor data, and learned environment representations; downloadable software for encoding regulatory compliance data, hazard information, and operational intelligence into learned environment representations used by artificial intelligence world models for unmanned aerial vehicle navigation; downloadable software for synchronizing and updating edge-deployed world models across fleets of unmanned aerial vehicles
Software as a service (SAAS) services featuring software for training, deploying, and managing artificial intelligence world models for unmanned aerial vehicle perception, navigation, and autonomous decision-making; providing machine learning-based environment prediction and representation services for drone mission planning, flight route optimization, and airspace regulatory compliance; providing software for deploying trained world models to edge computing devices onboard unmanned aerial vehicles for real-time autonomous perception and navigation; providing cloud-based software services for updating, synchronizing, and distributing learned environment representations across fleets of unmanned aerial vehicles operating edge-deployed predictive world models