'Apla', which develops a generative AI solution that quickly and economically generates high-quality 3D motion data using only software, announced on the 17th that it has attracted investment from Seoul National University Technology Holdings . With this investment, it plans to increase accessibility to the robot and 3D content industries and accelerate innovation and growth across the industry.
Apla, a developer of 3D motion data generation AI solutions, announced that it has received seed investment from Seoul National University Technology Holdings. Through this investment, the company plans to accelerate technological innovation in the robot and 3D content industries and focus on market expansion.
Aipla has developed AI technology that generates 3D motion data based on video data, drastically reducing the high costs and long production times of the past. It can extract desired motion data without separate professional filming, allowing for economical and efficient use.
In particular, it has AI-based 3D motion capture technology that precisely recognizes the user's movements in real time using a general smartphone camera or webcam without LiDAR or a separate depth sensor. The technology is optimized for real-time operation even in an on-device environment, providing smooth performance even on low-spec devices. It is currently providing an optimized solution that enables real-time operation in PC (desktop/laptop) and smartphone (iOS, Android) environments.
Apla is currently expanding its use in the V-Tuber and Virtual Human markets. It provides ‘Apla Studio’, a desktop-based avatar creation and broadcasting solution, and ‘Apla Mobile’, a mobile short-form content creation tool, and is collaborating with MCNs and individual creators. It is currently developing the world’s first mobile full-tracking live function, and plans to expand into a viewer participation service in the future.
The robot industry is also proposing new solutions that utilize AI-based 3D motion data. In existing robot research labs, it was common for people to wear specialized equipment and acquire data through remote operation, but this requires high costs and a long data construction time.
Aipla is developing a technology that extracts 3D motion data from general videos and automatically converts it into robot learning data, which can be applied to various fields such as humanoids, collaborative robots, and service robots. It is currently building a labeled 3D motion dataset of over 10 million, and plans to use it to further improve robot movement learning.
CEO Lee Yong-soo said, “We will increase accessibility to the robot and content industries through 3D motion data solutions utilizing AI technology and lead market growth and innovation.”
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