en.Wedoany.com Reported - Tripo AI (officially named Holymolly Ltd.), a developer of three-dimensional artificial intelligence models, announced the completion of a $150 million Series A3 funding round. The funds will be used to expand its platform in smart manufacturing, entertainment, and robotics. The investor lineup includes multiple industrial capital sources, such as Geely Capital, which focuses on the automotive industry, as well as video game developers 4399 Network, Tanwan, and Giant Network. Additionally, Fosun Capital, Orinno Capital, CoStone Capital, Addor Capital, T-Capital, and Muhua Tech Ventures also participated in this round.
Tripo AI is dedicated to developing 3D AI models that help game developers and media creators generate interactive content. In the fields of video games, manufacturing, and film production, creating high-quality 3D assets has traditionally required hundreds of hours of manual work by digital artists, consuming significant resources. With Tripo AI's technology, users can generate high-fidelity 3D objects through natural language descriptions, thereby automating the process. Over the past six months, the company has launched its flagship 3D foundation models, Tripo H3.1 and Tripo P1.0, achieving algorithmic advancements in areas such as 8K resolution texture generation and object segmentation. These updates address the long-standing issue of low-resolution textures in generative 3D environments, making simulations more realistic and meeting the quality standards of modern video games and media content.
Tripo AI is also a developer of world models, which can generate AI 3D environments that accurately reflect real-world physics. Its latest achievement, "Project Eden," is a research preview of a world model that adopts a native architecture, decoupling underlying state simulation from visual rendering. This new approach provides a technical pathway for embodied AI applications such as robot training.
Following the completion of this funding round, Tripo AI stated that its goal extends beyond cutting-edge research to building a global commercial ecosystem. The company plans to invest in three key areas: core algorithm development to enhance the performance, speed, and accuracy of 3D generation capabilities; building data infrastructure to train larger and more complex models; and recruiting top AI researchers and engineers to maintain its competitiveness in the world model field.
