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Existing methods for creating 3D animations or character motions for games require specialized motion capture equipment, studios, and skilled animators, resulting in significant time and cost. Individual creators and indie developers have difficulty obtaining high-quality motions without expensive equipment, raising the barrier to creation and ultimately slowing down content production and limiting its scope. Furthermore, modifying existing motions requires complex tools and repetitive tasks, making it virtually inaccessible to non-experts.

Neuroid Motion is based on a **Large Action Model (LAM)** trained on massive behavioral data (1 billion motion capture data points), instantly generating natural 3D motions like humans with just text/voice commands. Fast processing is achieved through the cloud AI engine in a dedicated mobile app, and motion compression and streaming technology allows smooth previewing and editing even on mobile devices.

Users can generate motions in real-time using only a smartphone camera/sensor without a professional motion capture suit, and the results can befinely edited for each joint or transformed into various styles. This mobile-first approach provides freedom to create without location constraints, and the integrated workflow from motion generation to editing to exporting is a key strength that dramatically increases production speed compared to existing methods. In summary,it implements a **"motion studio in your pocket."**

The main users are individual content creators such as game developers, animators, and AR/VR content creators (B2C subscription model possible), and small indie game studios or mobile app developers can also use it as a team. Large game companies or film VFX companies can also adopt it for prototyping or simple motion production, so a license model for enterprises (B2B) is also being considered.

In particular, it is useful for individual creators who create content primarily on mobile devices, so global sales to individual users through app stores are expected to account for a large portion. In addition, B2B2C distribution is also possible, such as students using it for learning purposes in educational institutions (game schools, etc.).

This platform can generate motion data regardless of language/content genre, so it can directly target the global market. It is provided in the form of a cloud SaaS, so there are no regional restrictions, and it is already user-friendly for overseas users as it has been trained with data from 1 million+ users in over 150 countries.

There are no special barriers in terms of regulations, and only motion IP or copyright issues need to be taken care of. In the future, it can be linked to social media and metaverse platforms or expanded as a game engine plugin to broaden the scope to other industries (e.g., virtual education, digital humans). Also, the same Nation A'sother motion product lines (Neuroid MotionSpace, etc.)has high synergy potential to expand solutions into the XR and robotics fields.

In the CES Innovation Awards judging,it was praised as "democratization of motion creation,"and the fact that even non-experts can immediately produce professional-level animations was highly evaluated. In the content industry, it is attracting expectations as a solution that will dramatically reduce production costs and time, and together with its sister product (Neuroid Playmaker), which received Best of Innovation, it has become a hot topic as an unusual triple crown winner as a Korean startup.

The technical completeness is already evaluated as quite high, refined by feedback from 1 million real users, and the market is dominated by positive prospects that demand will be high, riding on the game and metaverse boom. However, whether differentiation from competing technologies (e.g., other generative motion AI) will continue and quality concerns from some professional animators need to be monitored in the future, but currently, expectations are greater than underestimated factors.