3D Environments
Production-grade interactive 3D scenes, from interiors and streets to towers and stores, authored to be walked and played inside online.
AI Labs · Spatial intelligence
VLGE turns how worlds are built, played, and explored into a scalable dataset: the human behavioral data layer for systems learning to operate in 3D.
Every session people build and play becomes a continuous event feed of pose, velocity, state changes and dwell, time-aligned at 30 Hz. Below are four real captures, replayed and interleaved as they're stored.
Two people, one space,
two completely different paths.
What data is available
The console plays one real captured session end to end, with every panel reading the same playhead. As you scroll the streams, it re-reads that session through each one.
Production-grade interactive 3D scenes, from interiors and streets to towers and stores, authored to be walked and played inside online.
Gaussian-splat captures of the same worlds: photoreal radiance fields for training perception and novel-view synthesis at the fidelity the physical world actually has.
The structured layer beneath the geometry: labelled zones, object semantics, adjacencies, sightlines and coordinates, the grammar a model needs to reason about a space. You can read it in the fingerprint.
Time-aligned behavior at 30 Hz: pose, gaze, velocity, dwell, build and interaction events. This is the record that turns a static scene into how it's actually used, and it's the JSON streaming on the right.
Need a specific environment, task, population or modality? We build the world, run the collection, and deliver the dataset to your spec, ready to scrub, sample and export.
Example applications
Ground generative world models in how real spaces are built and changed.
Populate simulators with real human trajectories, not scripted agents.
Navigation & manipulation priors from human behavior in 3D.
Agents that learn to perceive, plan and act in physical space.
Benchmarks & datasets for the research defining the field.