World Labs Technologies Inc.

Based in the US, World Labs Technologies is a spatial intelligence company building AI models that perceive, generate, and reason about 3D worlds, enabling creators and enterprises to design, simulate, and interact with immersive environments. Founded in 2023 by CEO Fei-Fei Li, Justin Johnson, Christoph Lassner, and Ben Mildenhall, and based in California, US, World Labs Technologies is a spatial intelligence company developing artificial intelligence-driven three-dimensional world models and interactions. In September 2026, AMD agreed to acquire World Labs Technologies Inc. from Emerson Collective, Autodesk, SeaCo Ltd.

, Fidelity Investments, Databricks Ventures, Nventures, AMD Ventures, Intel Capital, Adobe Ventures, New Enterprise Associates, Radical Ventures, and Andreessen Horowitz for USD 8. 2 billion in an all-stock deal. The transaction is subject to customary closing conditions, including regulatory approvals, and is expected to be completed by the end of 2026. World Labs focuses on developing spatial intelligence through Large World Models (LWMs) that allow artificial intelligence to perceive, generate, and interact with the 3D world.

These models are designed to enhance AI's understanding of both virtual and real environments by analyzing images and other data modalities. The firm helps bridge the gap between research and practical applications, creating tools that work alongside people and enhance human capabilities. World Labs generates revenue by commercializing its spatial intelligence technology through products like Marble and the World API, offering paid access to AI‑generated 3D world creation, editing, and simulation capabilities. The company monetizes via enterprise licensing, developer and API usage fees, and partnerships with design, entertainment, and industrial software providers integrating world‑generation models into professional workflows.

The September 2026 acquisition enables AMD to combine World Labs' expertise in AI and world models with its computing capabilities to support future AI applications, improve product design for emerging AI use cases, and strengthen its competitive position in physical AI.