Scale
Physical AI data infrastructure
The Data Infrastructure for Physical AI
Vanso turns large-scale 3D worlds, game behavior, simulation and real-world demonstrations into data that continuously improves models.
The industry shift
From model-ready data to model-improving loops
Collected signals
Structured training data
Evaluation-driven updates
A living data system
A data flywheel that compounds model capability
Scale in virtual worlds. Ground in reality. Test every capability. Turn every failure into the next data task.
data
Structure
Simulation
Physics-ready worlds, controllable variation and task-level ground truth.Ground
Real world
Ego, VR and robot data anchor models in reality.Improve
Evaluation
Failures become the specification for the next data round.Four connected systems
From scalable worlds to real-world intelligence
Game Data Engine
Turn synchronized video, controls, trajectories, task semantics and engine-level outputs into scalable data for agents and world models.
50K+ hours / Structured actions / G-buffer outputsView systemWorld & Simulation Assets
Build controllable physical worlds from large-scale 3D assets, simulation scenes and structured ground truth.
100M+ assets / USD & PhysX / Controllable worldsView systemReal-World Grounding
Connect virtual tasks to reality with synchronized first-person, RGB-D, VR and multi-robot demonstrations.
Ego + RGB-D / Pose aligned / Task semanticsView systemSim-to-Real Evaluation
Run the same capability in simulation and reality, locate failure boundaries and turn them into targeted new data.
Unified metrics / Failure mining / Continuous iterationView systemBuilt to operate at scale
Infrastructure is more than data volume
It is the ability to structure, validate, reproduce and continuously update data around a model roadmap.
Start with a focused pilot