---
title: "Decart | OASIS Neural Game Engine | world-models.io"
canonical: "https://world-models.io/en/labs/decart/"
description: "Decart builds real-time neural game engines, including OASIS which simulates open worlds at 20+ FPS. Review Decart: evidence, scope, limitations."
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

# Decart

Decart is an AI company building real-time neural game engines, including OASIS which simulates Minecraft-like open worlds at 20+ FPS using latent diffusion models.

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 Decart

Main editorial body preserved directly in static HTML.

Decart is an AI startup focused on real-time interactive world models. Their OASIS project demonstrated that a neural network can function as a complete game engine, generating playable Minecraft-like environments at 20+ FPS in real-time. Decart's work pushes the boundary of what world models can do in terms of interactive, real-time generation.

Decart is a industry organization based in Israel / 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 | Decart |
| Short Name | Decart |
| Type | industry |
| Region | Israel / United States |
| Related Models | 1 |
| Description | Decart is an AI startup focused on real-time interactive world models. Their OASIS project demonstrated that a neural network can function as a complete game engine, generating playable Minecraft-like environments at 20+ FPS in real-time. Decart's work pushes the boundary of what world models can do in terms of interactive, real-time generation. |

## Focus Areas

Focus areas surfaced directly from the lab record.

real-time-world-models

interactive-generation

neural-game-engines

## Related Models

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

| Model | Category | Year | Index v1.1 |
| --- | --- | --- | --- |
| [OASIS](https://world-models.io/en/models/oasis/) | Generative World Model | 2024 | 66/100 |

## Frequently Asked Questions

FAQ answers rendered directly into static HTML for extractable responses.

### What is OASIS?

OASIS is Decart's open-source real-time neural game engine that can simulate Minecraft-like open worlds at 20+ FPS using a spatial autoencoder and latent diffusion model.

## Quick Answer

Short extractable summary preserved directly in static HTML.

- Decart is a industry organization based in Israel / 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.

- [Decart official website](https://www.decart.ai) Primary organizational source
- [OASIS paper](https://oasis-model.github.io/) Decart / Etched primary research source