Trade Mark Journal No.2026/010 6 March 2026
UK00004340539 13 February 2026 (9,42)
VUER
International priority date claimed: 19 September 2025
(United States of America)
(99401756)
- 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.
FortyFive Labs Incorporated
Representative: Haseltine Lake Kempner LLP