World Labs, the AI startup founded by Fei-Fei Li, has closed a $1 billion funding round, marking one of the notable capital raises in the AI sector. The round included participation from AMD, Autodesk, Emerson Collective, Fidelity Management & Research Company, NVIDIA, and Sea, reflecting broad investor interest in foundational AI technologies beyond text-based systems.
Betting on Spatial Intelligence
World Labs is focused on spatial intelligence, an area of AI aimed at helping machines understand three-dimensional environments, object relationships, and persistent scenes. According to the company’s stated mission, this work is intended to transform storytelling, expand creative workflows, and accelerate progress in robotics and scientific discovery.
The concept is closely tied to the development of advanced world models, which are designed to represent how environments behave and evolve. Such capabilities are increasingly viewed as critical for AI systems that need to interact with the physical world or generate more coherent virtual spaces.
Marble Debuts as the First Product
World Labs’ first product, Marble, is built to let users create spatially coherent, high-fidelity, and persistent 3D worlds from images, videos, or text. The product points to a practical application of the company’s research, aiming to make 3D world creation more accessible to creators and developers.
If the technology matures as intended, it could support a range of use cases, including immersive content creation, robotics training, simulation, and scientific modeling.
Funding to Support Further AI Development
The newly raised capital will be used to advance World Labs’ mission of building more capable world models and driving further innovation in AI. So far, the disclosed details center on the funding size, investor lineup, and product vision, while no additional commercial or financial metrics have been provided.
As competition in generative AI continues to broaden, World Labs’ latest raise suggests that investor attention is increasingly shifting toward deeper infrastructure layers of AI, with spatial intelligence emerging as a closely watched frontier.