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Nvidia joins $1b round for spatial tech startup World Labs

World Labs has secured US$1 billion in new funding, according to a recent announcement.

The company, which focuses on spatial intelligence and building world models, counts investors such as AMD, Autodesk, Emerson Collective, Fidelity, Nvidia, and Sea.

The funding aims to support the development of its products, including Marble, a tool for creating high-fidelity 3D worlds from images, videos, or text.

This funding marks a significant investment in the company’s efforts to enhance storytelling, robotics, and scientific research through spatial technology.

🔗 Source: WorldLabs

🧠 Food for thought

Implications, context, and why it matters.

The $1 billion funding includes a strategic Autodesk partnership aimed at commercialization

  • Autodesk, a leader in 3D design software, contributed $200 million to the round 1.
  • The deal gives Autodesk an advisory role and sets up joint work on research plus model development 1.
  • The partnership will test how World Labs’ “world models” (AI systems that model and simulate aspects of the real world) can pair with Autodesk tools, starting with entertainment projects 2.
  • Autodesk’s chief scientist said customers could begin with a world-model sketch in World Labs, then refine design details using Autodesk software 2.

Spatial intelligence aims to bring AI beyond text and 2D images into 3D understanding

  • World Labs describes “spatial intelligence” as AI that can reason about how the 3D world works, instead of leaning on 2D inputs like images or text 1.
  • The company is building systems that can perceive, generate, and interact with 3D environments 1.
  • World Labs has released the World API (an application programming interface), a public interface for adding Marble-generated explorable 3D worlds to apps and workflows across architecture/design plus robotics/simulation 3.
  • The funding fits an industry shift toward AI that can understand and generate 3D settings, alongside work by Google DeepMind and others on “world models” 1.

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