World Labs Raises $1 Billion to Scale Spatial AI

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In a significant leap for the future of artificial intelligence, World Labs has announced that it has successfully raised $1 billion in funding aimed at enhancing and scaling its groundbreaking spatial AI technology. Founded by pioneering AI expert Fei-Fei Li, this company is on a mission to redefine how machines perceive and interact with the world around them.

The announcement, made in a blog post by World Labs on February 18, 2026, highlights the company’s focus on creating large world models (LWMs) designed to revolutionize various industries, including healthcare, robotics, and manufacturing. By transforming the conventional 2D computational framework into a rich 3D spatial intelligence model, they aim to empower machines with capabilities to understand and navigate complex environments.

World Labs’ inaugural product, Marble, harnesses the power of AI to enable users to generate three-dimensional worlds based on images, videos, or text inputs. This innovative approach not only provides users with an intuitive platform for creation but also symbolizes a pivotal shift in the artificial intelligence landscape, where the focus is moving from traditional models based on language and images to those capable of interacting with and reasoning about three-dimensional environments.

The launch of Marble, which occurred in November 2025, represented a significant transition for World Labs—from research and development to commercialization. The product is available in both freemium and paid versions and offers diverse export options, including Gaussian splats, traditional meshes, and video files. This flexibility enables businesses to incorporate Marble into existing workflows, facilitating seamless integration with creative engines, simulation technologies, and real-time rendering tools.

Fei-Fei Li has articulated the foundational vision of World Labs: to elevate AI from mere analysis to execution. She emphasizes that the hurdles faced by current AI systems are increasingly shifting from linguistic comprehension to the understanding and interaction with the physical world. Li notes that “the ability to understand, reason, interact with, and navigate real 3D and 4D physical environments is essential to advancing AI capabilities.”

Spatial AI, the core technology underpinning Marble, enables machines to effectively grasp 3D contexts—an area of growing interest in the tech industry. This technology is expected to create waves across several sectors: in architecture, smart robotics, entertainment, and more. Indeed, as the industry matures, organizations are recognizing the immense potential that spatial AI holds, transforming it into a valuable asset capable of driving efficiency, creativity, and competitive advantage.

Moreover, the trajectory of World Labs has been remarkable thus far. Recognized as a unicorn just four months post-launch, the company has built an impressive reputation and garnered attention for its vision and rapid growth. After securing an initial $230 million funding injection in September 2024, World Labs has demonstrated significant momentum, illustrating strong investor confidence in its mission to innovate and lead in spatial intelligence.

The implications of this funding round stretch beyond financial support; they signal a broad commitment to advancing the frontiers of technology and a realization of the potential within spatial AI. As industries across varied sectors begin to adopt this transformative technology, World Labs is poised not just to lead in technology development but also to redefine industry standards for creativity, productivity, and innovation.

As we look to the future, it will be fascinating to see how World Labs utilizes this new investment to enhance Marble and expand its suite of offerings in spatial AI. The combination of Fei-Fei Li’s leadership, a robust investment influx, and the growing need for sophisticated AI solutions positions World Labs to not only shape its own future but also usher in a new era of intelligent and capable machines.

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