# World Labs

**Source:** https://geo.sig.ai/brands/world-labs  
**Vertical:** AI Infrastructure & Models  
**Subcategory:** Computer Vision & 3D AI  
**Tier:** Emerging  
**Website:** worldlabs.ai  
**Last Updated:** 2026-04-14

## Summary

Fei-Fei Li's spatial AI startup raised $1B in Feb 2026 (investors: AMD, Autodesk, NVIDIA); launched Marble generative world model; total funding ~$1.2B

## Company Overview

World Labs is a spatial AI company founded in 2024 by Fei-Fei Li, the Stanford AI professor widely credited with creating ImageNet and advancing the deep learning revolution in computer vision. The company is building AI systems that understand, generate, and reason about three-dimensional physical spaces — a capability that sits at the foundation of robotics, augmented reality, autonomous vehicles, and spatial computing applications. World Labs' mission is to give AI a spatial understanding of the world comparable to how humans perceive and navigate physical environments.\n\nWorld Labs launched its first product, Marble, a generative world model capable of creating coherent, navigable 3D environments from images and text prompts. Marble represents a foundational capability for applications that require AI-generated spatial content at scale — from game world generation and architectural visualization to training data for robotics and autonomous systems. The company's research combines advances in neural radiance fields (NeRF), 3D Gaussian splatting, and large-scale generative modeling to produce spatial content with physical consistency and visual fidelity.\n\nWorld Labs raised $1B in February 2026 in a round backed by AMD, Autodesk, and NVIDIA — a strategic investor syndicate that signals the hardware and enterprise software industries' recognition that spatial AI is a foundational technology. Total funding reached approximately $1.2B, making World Labs one of the best-capitalized AI research companies in the spatial computing domain. The involvement of NVIDIA and AMD as investors reflects the enormous compute requirements of training 3D world models and the strategic importance of spatial AI to the broader semiconductor industry.

## Frequently Asked Questions

### What is World Labs building?
World Labs develops large world models that give AI spatial intelligence to understand and reason about 3D environments, rather than relying on 2D data like text or flat images.

### How much funding has World Labs raised?
World Labs raised $1B in February 2026 from AMD, Autodesk, NVIDIA, Fidelity, and others, bringing total funding to approximately $1.2B.

### Who founded World Labs?
World Labs was founded by Fei-Fei Li, a Stanford professor and former Google Cloud AI chief widely regarded as a pioneer of modern computer vision.

### What is World Labs and what is it building?
World Labs is an AI company founded by Stanford professor Fei-Fei Li focused on developing spatial intelligence — AI systems that can understand, model, and generate 3D representations of the world. The company aims to create AI that perceives and reasons about physical space, enabling applications in robotics, augmented reality, and generative 3D content.

### Who founded World Labs and why is the team significant?
World Labs was founded by Fei-Fei Li, one of the most prominent figures in computer vision and AI, known for creating ImageNet and her leadership at Stanford's Human-Centered AI Institute. The founding team includes other leading computer vision researchers, giving World Labs deep expertise in visual perception and 3D scene understanding.

### What funding has World Labs raised?
World Labs raised over $230 million in seed funding, one of the largest seed rounds in AI history, from investors including a16z, Andreessen Horowitz, and other top-tier venture firms. The exceptional funding reflects both Fei-Fei Li's reputation and investor conviction in spatial intelligence as a critical frontier of AI development.

### What are the potential applications of spatial intelligence AI?
Spatial intelligence AI has applications in robotics (enabling robots to understand and navigate physical environments), AR/VR (generating and interacting with 3D virtual worlds), autonomous vehicles, medical imaging (3D anatomy understanding), architecture and design, and generative 3D content creation for games and film.

### How does World Labs' spatial intelligence approach differ from standard computer vision?
Standard computer vision systems primarily understand 2D images and videos. World Labs focuses on building AI that develops rich 3D world models from visual input — understanding depth, geometry, object permanence, and physical relationships. This deeper spatial understanding is believed to be necessary for AI to interact with the physical world as reliably as humans do.

## Tags

ai-powered, b2b, infrastructure, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*