South Wales, March 16 -- United Kingdom Intellectual Property Office (UKIPO) has registered trademark "VUER" on Feb. 13. The details about the trademark application no. UK00004340539 published in the journal no. 2026/010 (March 6).
With Haseltine Lake Kempner LLP as representative, FortyFive Labs Incorporated filed the trademark application for the below mentioned good(s)/service(s).
Class 9 : Downloadable software for simulation, visualization, and interaction with physics-enabled 3D environments; downloadable tools for robotics, artificial intelligence, and machine learning model development; downloadable virtual environments for use in training and testing control algorithms; downloadable software for managing datasets and annotations related to 3D scenes and synthetic data; software for generating, manipulating, and labeling photorealistic simulated data; downloadable software featuring generative world models for creating dynamic, procedural 3D environments and scenarios; downloadable APIs and SDKs for real-time 3D simulation and rendering; downloadable generative models for synthesizing realistic physics simulations, object interactions, and environmental conditions; all for use in scientific research, software development, robotics engineering, and virtual testing.
Class 42 : Providing temporary use of non-downloadable software for simulating and visualizing interactive 3D environments; platform as a service (PaaS) featuring tools for training and evaluating robotics and machine learning models in synthetic scenes; cloud-based generative world model services for creating, modifying, and deploying procedural simulation environments; providing an online platform for dataset creation, labeling, and automated data pipelines; design and development of software tools for photorealistic rendering, simulation scripting, and procedural generation of assets; hosting and deployment of generative AI models for world simulation, scene generation, and predictive physics modeling; software hosting services for collaborative experiment tracking, visualization, and version control in robotics and AI applications; providing online non-downloadable software utilizing generative models to create diverse training scenarios and edge cases for robot learning.
The original document can be viewed at: http://www.ipo.gov.uk/cgi-bin/redirect.cgi?type=tmj&link=6¶m1=UK00004340539
Disclaimer: Curated by HT Syndication.
