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In entertainment fields such as film and games, 3D character animation production requires specialized technical personnel and lengthy work, leading to increased content production costs and barriers to entry for creation. In addition, it is difficult to apply a motion once created to other styles or characters, and the time it takes to realize an idea on screen is long, so the speed of creation cannot keep up with creativity. As a result, small-scale producers have had to give up high-quality motion or rely on outsourcing.

Neuroid Playmaker is based on a sophisticated LAM (Large Action Model) that has learned over 100 million real human motion data, and generates precise 3D character motions instantly with just text/voice commands. The generated motions can be easily found and applied with the world's first semantic-based motion search engine, and can be intuitively modified at the joint level, supporting expert-level detailed editing.

You can add various production styles to the generated motions through the intelligent style transfer function, and fine-tune the animation by immediately reflecting user feedback through dynamic prompt-based fine-tuning. By providing these functions in one interface, the process from idea -> motion generation -> style application -> immediate output is completed without time delay, which significantly shortens the content production lead time. In the end, it allows non-experts to realize their imagination directly on the screen, and provides experts with improved efficiency through process automation.

Animation studios, game developers, and VFX companies can adopt this platform as a tool (B2B software form), as well as individual creators, YouTubers, and NFT artistsIndividual creators (B2C)can also use it in subscription form.Educational institutions (video/animation departments)can also introduce it for student education and be introduced into the creator ecosystem in the future.

In addition, general users who create metaverse content can easily create avatar motions, so B2B2C supply through partnerships with metaverse platforms is also possible. The revenue model is expected to be a combination of a paid SaaS for professionals and a freemium model with basic features free + advanced features paid.

The scope of use is wide, extending to entertainment in general, including movies, TV, games, VR, and advertising. Nation A has already expanded the application field of technology by winning awards in three categories at this CES: content/mobile/XR, and it is easy to expand globally by providing services to the global creator community.

As a cloud-based service, it can flexibly respond to the scale of users, and the more user data is accumulated, the more sophisticated the motion generation performance becomes, creating a virtuous cycle of service quality improvement and market expansion. In other industries, it can advance into new areas such as immersive media art and interactive performances, and it can also be applied and expanded to future industries such as AI character development and automatic motion generation for digital humans. Overall, it can be said to be a general-purpose creation tool that is not tied to a specific environment.

Neuroid Playmaker is a CES 2026 Best of Innovation Award winner in the Content & Entertainment category,and has been praised for "making every creator a potential animator".Domestic and foreign media have noted that a Korean startup has revolutionized the way animation is made, and it has attracted the attention of the content industry by winning an award in the cooperation category of a sponsoring organization of the world's three major film festivals (Cannes Next).

The level of technical completeness has already been verified in actual projects (such as Roblox), and the quality of the generated motion is so high that even professional animators are surprised. Market expectations are also quite high as a tool that is essential in the era of exploding metaverse and video content. Some are wary of overestimation, but there are many opinions that it is not an exaggeration because it is a sophisticated model based on actual usage data, and that it could have an even greater ripple effect if aggressive market penetration is achieved.