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.
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 surfaced directly from the lab record.
Models currently associated with this lab in the local knowledge base.
| Model | Category | Year | Index v1.1 |
|---|---|---|---|
| Marble | Foundation World Model | 2026 | 77/100 |
FAQ answers rendered directly into static HTML for extractable responses.
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.
Short extractable summary preserved directly in static HTML.
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: 2026-06-21.
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.
Primary lab and model sources embedded in static HTML.