Insider Brief
- World Labs raised $1 billion in new funding from investors including AMD, Autodesk, Emerson Collective, Fidelity, NVIDIA and Sea to expand development of its spatial intelligence “world models.”
- The company’s first product, Marble, generates and edits persistent 3D environments from text, images, video or 3D layouts and is available in free and paid tiers with export options including meshes and video.
- Founded by Fei-Fei Li, World Labs had previously raised $230 million and is positioning Marble for use cases in gaming, visual effects, virtual reality and robotics as it advances AI systems focused on spatial understanding.
World Labs announced it has raised $1 billion in new funding from investors including AMD, Autodesk, Emerson Collective, Fidelity, NVIDIA and Sea to accelerate development of its spatial intelligence “world models.” The company’s first product, Marble, allows users to generate persistent, high-fidelity 3D environments from images, video or text for applications spanning storytelling, robotics and scientific research.
“We are focused on accelerating our mission to advance spatial intelligence by building world models that revolutionize storytelling, creativity, robotics, scientific discovery, and beyond,” the company noted in a post on its website.
World Labs, founded by Fei-Fei Li, launched Marble, its first commercial generative world model, in November after a limited beta release. The platform allows users to create and edit persistent 3D environments from text, images, video or 3D layouts, with export options including meshes and video, and is offered through free and paid tiers.
Backed by $230 million prior to its latest funding, the company is positioning Marble as a more durable alternative to rival systems by emphasizing editable, persistent worlds and hybrid AI-native tools such as its Chisel 3D editor. World Labs is targeting early use cases in gaming, visual effects, virtual reality and robotics as it advances its broader focus on spatially intelligent AI systems.
