Tripo AI Secures $150M for 3D Foundation Model Development
Tripo AI has closed a $150 million Series A3 funding round to advance its 3D foundation models and spatial simulation capabilities, attracting investment from diverse technology and automotive sectors.
Tripo AI, a developer of 3D foundation models, has successfully concluded a $150 million Series A3 funding round. The investment saw participation from a range of companies across the automotive, gaming, internet, and technology industries. Notable backers included automotive investor Geely Capital, gaming firms 4399 Network, Tanwan, and Giant Network, as well as strategic investors Fosun Capital and Orinno Capital. Financial investors such as CoStone Capital, Addor Capital, T-Capital, and Muhua Tech Ventures also joined, with existing shareholders INCE Capital and Genesis Capital increasing their investments.
In the past six months, Tripo AI has launched two significant 3D foundation models, Tripo H3.1 and Tripo P1.0, alongside feature enhancements like 8K Texture Generation and Segmentation V2. The company reports that these offerings have achieved top rankings in independent evaluations and community polls during this period. Tripo AI also previewed "Project Eden," a world model research initiative that separates state simulation from visual rendering, aiming to establish a novel architecture for world model development.
The newly acquired capital will be allocated towards enhancing core algorithms, bolstering data infrastructure, and expanding the research team. A significant portion will also support international commercialization efforts. Key application areas for Tripo AI include intelligent manufacturing, interactive entertainment, and embodied intelligence.
This funding round signifies an expansion of Tripo AI's strategic direction, moving beyond static 3D asset generation towards systems capable of simulating and interacting within spatial environments. This trajectory builds upon the company's $50 million raise in March 2026, which introduced Tripo H3.1 and Tripo P1.0, alongside an early-stage world model initiative then known as Tripo W1.0. At that time, the company highlighted its architectural choice to represent spatial data in a shared feature field, rather than sequential prediction, to achieve more coherent topology.
This substantial funding for Tripo AI underscores the growing importance of advanced 3D AI for simulating and interacting with spatial environments. Such capabilities are crucial for next-generation intelligent manufacturing, digital twins, and potentially for complex tasks in fields like robotics and autonomous systems, which have implications for aerospace and in-situ resource utilization on other planets.
Edited by the news editor with AI from the original report — please refer to the original source.