South Wales, Sept. 25 -- United Kingdom Intellectual Property Office (UKIPO) has registered trademark "ARCHER INTELLIGENCE" on July 21. The details about the trademark application no. UK00004419129 published in the journal no. 2026/039 (Sept. 25).
With Finnegan Europe LLP as representative, Archer Aviation Inc. filed the trademark application for the below mentioned good(s)/service(s).
Class 9 : Downloadable computer programs using artificial intelligence (AI) for use in aviation safety, autonomous aircraft operation, assisting pilots in aircraft navigation, and air traffic control (ATC); downloadable computer programs using artificial intelligence (AI) for use in flight training, aeronautical decision-making (ADM) related to the operation of aircraft, simulation software for modeling and analyzing weather; downloadable computer programs using artificial intelligence (AI) for use in the operation, navigation, control and autonomous flight of drones and unmanned aerial vehicles (UAVs); downloadable computer programs for drone fleet management; downloadable computer programs for mission planning and route optimisation for drones and unmanned aerial vehicles (UAVs); downloadable computer programs for monitoring, controlling and tracking drones and unmanned aerial vehicles (UAVs); downloadable computer programs for processing, analysing and transmitting data collected by drones and unmanned aerial vehicles (UAVs); downloadable computer programs for detect and avoid systems for drones and unmanned aerial vehicles (UAVs); downloadable computer programs using artificial intelligence (AI) for machine learning for use in robots and robotics applications; downloadable computer programs using artificial intelligence (AI) for machine learning for use in the field of military, defense, security, and military aviation autonomy, and planning, conducting, and simulating flight missions; none of the foregoing for use in the fields of risk and compliance management or to design, define, automate, monitor, enforce, and track business processes.
Class 42 : Software as a Service (SaaS) services featuring software using artificial intelligence (AI) for use in flight training, aeronautical decision-making (ADM) related to the operation of aircraft, simulation software for modeling weather, analyzing weather; Software as a Service (SaaS) services featuring software for the operation, navigation, control and autonomous flight of drones and unmanned aerial vehicles (UAVs); Software as a Service (SaaS) services featuring software for drone fleet management; Software as a Service (SaaS) services featuring software for mission planning and route optimisation for drones and unmanned aerial vehicles (UAVs); Software as a Service (SaaS) services featuring software for monitoring, controlling and tracking drones and unmanned aerial vehicles (UAVs); Software as a Service (SaaS) services featuring software for processing, analysing and transmitting data collected by drones and unmanned aerial vehicles (UAVs); Software as a Service (SaaS) services featuring software for detect and avoid systems for drones and unmanned aerial vehicles (UAVs); Software as a Service (SaaS) services featuring software using artificial intelligence (AI) for machine learning for use in robots and robotics applications; Software as a Service (SaaS) services featuring software using artificial intelligence (AI) for machine learning for use in the field of military, defense, security, and military aviation autonomy, and planning, conducting, and simulating flight missions; Research and development of software using artificial intelligence (AI) in the fields of military, defense, security, and military aviation; Design and development of computer software for use in the field of artificial intelligence (AI) and autonomy in the field of military, defense, security, military aviation, and drones and unmanned aerial vehicles (UAVs); none of the foregoing for use in the fields of risk and compliance management or to design, define, automate, monitor, enforce, and track business processes.
The original document can be viewed at: http://www.ipo.gov.uk/cgi-bin/redirect.cgi?type=tmj&link=6¶m1=UK00004419129
Disclaimer: Curated by HT Syndication.
