---
title: "Alaya Lab | Persistent Interactive World Models"
canonical: "https://world-models.io/en/labs/alaya-lab/"
description: "Alaya Lab develops AlayaWorld and the persistent EVOKE world model. Review Alaya Lab: evidence, scope, limitations, and primary sources."
author: "Bernard Grenat"
generated: "2026-10-23"
---

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

The Knowledge Hub for AI World Models

# Alaya Lab

Alaya Lab develops persistent interactive world models, including AlayaWorld and EVOKE.

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 Alaya

Main editorial body preserved directly in static HTML.

Alaya Lab develops persistent interactive world models, including AlayaWorld and EVOKE.

Alaya Lab is a industry organization based in China / International 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 | Alaya Lab |
| Short Name | Alaya |
| Type | industry |
| Region | China / International |
| Related Models | 2 |
| Description | Alaya Lab develops persistent interactive world models, including AlayaWorld and EVOKE. |

## Focus Areas

Focus areas surfaced directly from the lab record.

persistent-world-models

interactive-video

world-state-memory

## Related Models

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

| Model | Category | Year | Index v1.1 |
| --- | --- | --- | --- |
| [AlayaWorld](https://world-models.io/en/models/alaya-world/) | Generative World Model | 2026 | N/A |
| [Alaya-EVOKE](https://world-models.io/en/models/alaya-evoke/) | Generative World Model | 2026 | N/A |

## Quick Answer

Short extractable summary preserved directly in static HTML.

- Alaya Lab is a industry organization based in China / International with a visible footprint in AI world models.
- On world-models.io, it is associated with 2 world models 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.

- [Alaya Lab official website](https://evoke-world.github.io/Evoke/) Primary organizational source
- [AlayaWorld paper](https://arxiv.org/abs/2608.13492) Alaya Lab primary research source
- [AlayaWorld official page](https://github.com/AlayaLab/AlayaWorld) Alaya Lab official page
- [AlayaWorld cited source](https://arxiv.org/abs/2512.14614) Ying et al., 2026. WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.