Measure
World’s largest and most diverse measured 3D dataset for AI model training.
We measure the physical world so you can accurately generate virtual ones
World’s largest and most diverse measured 3D dataset for AI model training.
A model that predicts PBR and physics. The most accurate PBR solution for any 3D mesh.
3D AI content engine and library for production teams in game and simulation.
Games and robotics are converging on the same problem: building worlds that behave like the real one. Most 3D generation guesses at materials from scraped or synthetic data. We measure them.
Every sample in our dataset is captured from a real object under controlled light. Our models learn how surfaces respond to light, not just how they tend to look. That is the gap between a render that looks right and a simulation that is right.
A platform that allows you to generate and manage game-ready & sim-ready 3D assets
Upload a textured .glb, .usdz or .fbx mesh and get predicted albedo, roughness, metallic and IOR maps for it.
Make a 3D asset that is ready for simulation, then film physics simulations with it inside NVIDIA Isaac Sim.
Describe an object, or give an image or a mesh, and get a 3D asset with predicted PBR materials, ready for a game engine.
Ask Claude, ChatGPT or Codex in plain words. Your agent builds the project in Marso Studio, where you can change a step or download the results.
Let your agents run Marso, or build I2M into your own pipeline.
Ask Claude, ChatGPT or Codex in plain words. Your agent builds the assets in Marso Studio for you.
Predict PBR materials for images, video and 3D meshes from your own code, in a few lines.
from marso import I2M material = I2M().predict("chair.jpg") # albedo · roughness · metallic · normal material.export("chair_pbr/")