---
title: "World Labs | Marble World Model | world-models.io"
canonical: "https://world-models.io/en/labs/world-labs/"
description: "World Labs develops Marble, a multimodal world model for generating spatially consistent persistent 3D environments."
author: "Bernard Grenat"
generated: "2026-10-30"
---

New: the Timeline is live. Track world model releases, papers, and benchmark updates in real time.

The Knowledge Hub for AI World Models

# World Labs

World Labs is a frontier AI company focused on building systems that understand and interact with the world. Its Marble platform emphasizes persistent, spatially consistent 3D world generation from multimodal inputs, pushing world models toward practical creator and simulation workflows.

robotics

model-based-rl

simulation

embodied-ai

## What is a world model?

A world model is an AI system that learns a predictive representation of how an environment changes over time. It can use observations, actions, or language to estimate future states and possible outcomes before an agent acts. World models support planning in model-based reinforcement learning, robotics, embodied AI, autonomous driving, and interactive simulation. This site catalogs these systems with model records, research papers, benchmark context, and source links. Start with the [world models database](https://world-models.io/en/world-models-database/), compare systems on the [leaderboard](https://world-models.io/en/leaderboard/), or read the [Performance Index methodology](https://world-models.io/en/methodology/performance-index/).

## About World Labs

Main editorial body preserved directly in static HTML.

World Labs is a frontier AI company focused on building systems that understand and interact with the world. Its Marble platform emphasizes persistent, spatially consistent 3D world generation from multimodal inputs, pushing world models toward practical creator and simulation workflows.

World Labs is a industry organization based in United States with a visible footprint in AI world models.

## Lab Snapshot

Static summary of the lab profile for crawlers and no-JS readers.

| Attribute | Value |
| --- | --- |
| Lab | World Labs |
| Short Name | World Labs |
| Type | industry |
| Region | United States |
| Related Models | 1 |
| Description | World Labs is a frontier AI company focused on building systems that understand and interact with the world. Its Marble platform emphasizes persistent, spatially consistent 3D world generation from multimodal inputs, pushing world models toward practical creator and simulation workflows. |

## Focus Areas

Focus areas surfaced directly from the lab record.

3d-generation

multimodal-world-models

persistent-worlds

spatial-reasoning

## Related Models

Models currently associated with this lab in the local knowledge base.

| Model | Category | Year | Index v1.1 |
| --- | --- | --- | --- |
| [Marble](https://world-models.io/en/models/marble/) | Foundation World Model | 2026 | 77/100 |

## Frequently Asked Questions

FAQ answers rendered directly into static HTML for extractable responses.

### What is World Labs building?

World Labs is building generative AI systems that understand and interact with the world, with Marble positioned as a persistent 3D world model for multimodal world-building.

## Quick Answer

Short extractable summary preserved directly in static HTML.

- World Labs is a industry organization based in United States with a visible footprint in AI world models.
- On world-models.io, it is associated with 1 world model across editorially linked pages.
- Use this page to review the organization profile, connected models, related comparisons, and official sources.

## Editorial Trust Signals

Editorial provenance and refresh policy preserved directly in static HTML.

**Published by** world-models.io editorial board.

**Lead editor** Bernard Grenat.

This lab page distinguishes official organization sources from world-models.io editorial synthesis and related model coverage.

Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-09-27.

Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve.

Each page links back to relevant primary sources and keeps a stable canonical URL so readers can verify claims, trace context, and reference the most up-to-date version. [See the editorial policy.](https://world-models.io/en/editorial-policy/)

Primary sources only

Last reviewed date visible

Methodology documented

Source links included

Correction channel published

Review date visible

## Official Sources

Primary lab and model sources embedded in static HTML.

- [World Labs official website](https://www.worldlabs.ai/) Primary organizational source