Marble AI - Generate Persistent 3D Worlds in Minutes

Marble AI turns a single image or text prompt into a persistent 3D world you can freely explore. Marble AI stitches large-scale geometry with consistent lighting, streams every scene directly in the browser, and keeps creative teams in control. Marble AI exports ready-to-use assets for Spark and Three.js so ideas move from preview to production fast.

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What is Marble AI?

Marble AI is the spatial intelligence model. The preview lets teams generate persistent, navigable 3D worlds from a single reference image or a text description while keeping scale, lighting, and mood consistent across every angle.

Persistent spatial memory

Marble keeps every surface and pathway coherent so explorers can walk, fly, or orbit through the same world without resets or artefacts.

Prompt to playground pipeline

Provide Marble with a photo moodboard or a short text brief and it assembles large scale 3D spaces with a single generation run.

Research core

Marble AI inherits the Spark rendering stack and exports Gaussian point clouds ready for Three.js and custom engines.

Benefits

Why Teams Choose Marble AI

Marble AI delivers massive, navigable environments that stay consistent across sessions so teams can move from ideation to shareable spaces while keeping budgets and timelines on track.

Bigger worlds, cleaner geometry

Marble AI scales spaces beyond room size while producing tidy topology that holds up under free camera review.

Consistent look and feel

Marble AI respects art direction so lighting, palette, and mood stay aligned when scenes are stitched together.

Ready for deployment

Marble AI exports point clouds and captures that drop into Spark, Three.js, VR headsets, and web canvases without rework.

Who Builds with Marble AI

Preview users span creators, virtual event teams, and product organisations that need immersive spaces without manual modelling.

1

3D creators and studios

Marble AI lets artists prototype explorable sets in minutes, then refine assets inside the DCC tools they already trust.

2

Virtual events and marketing teams

Marble AI gives campaign teams persistent venues for launches, community meetups, and interactive demos without venue build costs.

3

Product and design teams

Marble AI helps product designers test spatial flows, retail layouts, and training simulations before committing to production assets.

Core Marble AI Capabilities

Marble AI blends promptable generation with exportable tooling so every world ships with a production-ready workflow.

Image and text prompt engine

Marble AI accepts hero images or short briefs to define scale, mood, and structure for each world.

Persistent navigation layer

Marble AI streams spaces with no time limits, letting teams roam freely and annotate ideas in real time.

Spark and Three.js exports

Marble AI outputs Gaussian point clouds that slot directly into the Spark renderer and web experiences built on Three.js.

Style stitching toolkit

Marble AI chains multiple generations while keeping geometry aligned so giant scenes feel like a single world.

Collaborative browser viewer

Marble AI shares live previews so stakeholders can comment while moving through the same environment in their browser.

Governance and access controls

Marble AI tracks who generated each world, preserving audit logs and consent records for enterprise teams.

Preview Signals

Marble AI Preview Momentum

Marble AI preview pilots show how the model unlocks persistent, explorable spaces for teams.

World scale range

Room-to-city

Marble AI extends beyond room-scale scenes so previews can span plazas, districts, and vertical spaces.

Navigation mode

Free roam

Persistent Marble AI memory keeps geometry stable while you fly, walk, or orbit through every space.

Export formats

Gaussians +

Export Gaussian point clouds, depth captures, and metadata bundles ready for Spark or Three.js.

Testimonial

How Teams Use Marble AI Worlds

Preview builders use Marble AI to launch immersive demos, prototype venues, and test spatial ideas without spending months on manual modelling.

Nia Walters

Creative Director, Infinite Frame

Marble AI let us stitch three concept stages into one persistent festival map, and our artists iterated on lighting inside the preview the same day.

Aditya Sethi

Founder, Horizon Events

Marble AI gave our launch team a navigable showroom that guests could explore weeks before the in-person conference.

Sofia Menendez

Lead Designer, Orbit Retail

We used Marble AI to prototype new store layouts and export the point clouds to Spark for animation passes without rebuilding geometry.

Grace Ito

XR Prototyper, Nebula Labs

Marble AI worlds hold together under freecam, so our VR team can validate flow and comfort without stitching assets manually.
FAQ

Marble AI Frequently Asked Questions

Get clarity on how Marble AI generates, delivers, and supports persistent 3D worlds during the preview.

1

How does Marble AI build a 3D world from one image?

Marble AI analyses depth, lighting, and layout cues from the reference image, then expands them with our spatial diffusion layers to create a persistent map you can navigate.

2

Can Marble AI start from text only?

Yes. Provide a text brief and Marble AI will seed the world with coherent geometry, then you can refine it with additional images or style notes.

3

What keeps Marble AI worlds persistent?

Marble AI maintains a spatial memory of every tile and depth sample, so returning to an area loads the same geometry, lighting, and assets without resets.

4

How do exports to Spark and Three.js work?

Download Gaussian point clouds or scene bundles directly from Marble AI and import them into Spark or Three.js with no mesh cleanup required.

5

Does the preview cost anything?

The Marble AI preview is free while capacity lasts.

6

How is Marble AI different from Genie?

Marble AI focuses on persistent, navigable spaces that stay available after generation, whereas Genie concentrates on short-form video segments.

Join the Marble AI Preview

Apply for Marble AI preview access to generate persistent 3D worlds, or read the Marble AI model brief to learn how to built the system.