An AI motion engine that serves as a motion intelligence platform exclusively for XR (Extended Reality) environments, instantly converting text, voice, and video prompts into 3D motion data, enabling natural interactions in AR/VR/robotics, etc.

Nation A
An AI motion engine that serves as a motion intelligence platform exclusively for XR (Extended Reality) environments, instantly converting text, voice, and video prompts into 3D motion data, enabling natural interactions in AR/VR/robotics, etc.
In spatial computing fields such as AR/VR/Metaverse, realistic 3D motion is essential, but developers have faced the difficulty of having to create animations manually. Additionally, converting user voice or text input into real-time motion has been challenging, limiting the implementation of immersive interactions. The movements of robots or XR avatars have also been limited to pre-programmed actions, resulting in a lack of natural responses.
In short, the cost and speed issues of XR content creation and the lack of real-time interaction have been bottlenecks in existing methods.
Neuroid MotionSpace is an AI motion platform specialized for XR and spatial computing, instantly generating sophisticated 3D motions through a model trained on 1 billion motion data points from users in over 150 countries worldwide. It features the world's first semantic motion search engine, allowing developers to find or create desired motions in natural language. It also enables joint-level control of avatars and robots, providing precise motion customization.
Furthermore, it has a motion style transfer function that can intelligently change the style of the same movement to suit the situation. Prompt-based modification allows real-time fine-tuning of animations according to the user's language/context. All these features are integrated end-to-end across workflows in games, simulations, robotics, Metaverse, etc., significantly lowering the barrier to XR content creation and making it the best-in-class solution for implementing real-time interactions.
AR/VR content creators, Metaverse platform companies, and simulator developers are key customers (B2B). For example, VR game studios can use this engine to dynamically create character reactions, and industrial training simulator companies can use it to analyze and provide feedback on worker movements in real-time.
Additionally, humanoid robot manufacturers can adopt it for generating robot movements, and XR experience providers such as theme parks/exhibitions can also apply it. Since adoption will mainly be by companies/institutions rather than individual developers or creators, it will be provided as a B2B SaaS or license model. In the future, customers in specialized fields such as smart city monitoring or national defense training simulations (B2G) will also be considered.
Scalability is very high across the XR & Spatial Computing fields. It has already proven its technological versatility by winning CES Innovation Awards in three sectors: Content & Entertainment, Mobile, and XR, and can be applied in various industries such as gaming, robotics, and Metaverse.
The platform structure is in the form of modularized API/SDK, making it easy to link with other systems and facilitating technology transfer to robotics control, smart IoT, etc. However, since the XR market itself is still in the growth stage, it is necessary to keep pace with the growth of the industry in the early stages.Global Software as a Service (SaaS)As a global Software as a Service (SaaS), infrastructure constraints are minimal, and the more multilingual/multicultural context data is accumulated, the more the intelligence to respond to unstructured behaviors improves, resulting in a structure that becomes more competitive over time.
Neuroid MotionSpace won the Innovation Award in the XR/Spatial Computing category,being evaluated as having "redefined the use of 3D motion from games to industry."Industry experts see it as a pioneering example of applying motion generation AI specifically to XR and expect it to play a key role in the convergence trend of Metaverse and robotics.
In terms of technical completeness, it gained trust by demonstrating accurate responses to various prompts in the released demo. Market expectations are increasing in line with the growth of the XR market, but on the other hand, there is also a realistic view that strategic adoption will come before explosive demand, as it depends on the maturity of the XR industry. Overall, innovation is highly rated, and media attention has increased thanks to the consecutive awards as a domestic startup.
⚠️ Impressive technology but market uncertainty – It is an essential technology for future industries such as XR and robotics, but the growth rate of these industries is a variable, so short-term commercial performance is unclear, but long-term potential is high.
The award list data is based on the official CES 2026 website, and detailed analysis content is produced by USLab.ai. For content modification requests or inquiries, please contact contact@uslab.ai. Free to use with source attribution (USLab.ai) (CC BY)