CAPTURING
REALITY
We capture the most diverse spatiotemporal data, reconstruct it into volumetric representations, and generate synthetic data—powering physical intelligence and robotic training at scale.
What Volumes Does
The real world captured as data—so AI and robots can see, move, and think in everyday environments.
Ground Truth Spatiotemporal Data
The physical world is directly captured through synchronized multi-sensor recordings, producing time-aligned spatial data based on real measurements rather than post-hoc inference.
Gaussian Splatting-based Volumetric data
High-fidelity volumetric scene representations generated using Gaussian Splatting, preserving real-world geometry, appearance, and temporal consistency for immersive visualization and downstream modeling.
Synthetic Data Generation
Synthetic data generated from real-world captures and volumetric reconstructions, enabling realistic simulation of perception, motion, and interaction for training AI and robotic systems.