High-end Spatial &
Human Intelligence
For Physical AI
Powering AI with embodied spatial and human data and the behavioral-realism benchmark, from environment to behavior.
Spatial intelligence
Space In The Physical And The Virtual World,
Captured At Scale, With Objects.
Every scene object carries mass, friction and material class.
RGB
Depth
Segmentation
State
OBJECT COUNT · TO CONFIRMobjects
Human behavioral data
Within These Worlds, We Capture The Synthetic
And Sensory Human Behavior.
SyntheticPeople in synthetic worlds
3D environments
3DGS
Spatial metadata
Event streams
Physics
Physics-based motion
Hands & fingers
Joint, arm & reach
Interaction events
Spatial sensor (LiDAR)
Behavioral layer
VLA task layer
Perception exports
Multi-agent capture
SensoryExpert sensory data
EYE GAZE &
ATTENTION
ATTENTION
HANDS &
FINGERS
FINGERS
AUDIO
BRAIN
ACTIVITY
ACTIVITY
Transfer Skills From
Expert to Agents
Expert to Agents
Shared capture schemaApplied to all domains
- WWorld & object state
- BBody pose
- HHand kinematics
- AAction stream
- ZGaze & attention
- SSpatial sensors
- ⋮Additional streams
415 fields in the shared schema
→
Shared extracted featuresApplied to all domains
- Trajectory smoothness
- Speed profile
- Dwell time
- Action frequency
Skill-specific signalsDomain-specific
Chef · knife skillsBlade speed
Cut angle
Grasp stability
Eye-before-cut
Cut angle
Grasp stability
Eye-before-cut
Sport · climbingCoM rate
Route-read latency
Grip force
Slip risk
Route-read latency
Grip force
Slip risk
Final representation · shared features + skill signals. Different domains derive different skill signals.
EXPERT DATA
VLGE Captures Perpetually Licensable Expertise
From The World’s Best People.
EXPERT TALENT
World-class human expertise
ChefsCulinary techniques
AthletesMovement & performance
ArtistsCreative process
DesignersSpatial & product design
PerformersMusic, dance & expression
SpecialistsDomain-specific skills
REAL EXPERTS. REAL SKILLS.
REAL-WORLD SCENARIOS.
REAL-WORLD SCENARIOS.
AGENTS
Trained VLGE’s Agents On Our Real Human Behavior.
Human play trains the agent
The agent scales the data
The agent generates the long tail
Human Build and Play
trainshuman play trains the agent
scales ×Nre-runs, keeps human-like data
Agent Build and Play
Prompting
BENCHMARK
Our Benchmark Shows The Delta In Your Agent Training
And Robotics Deployment.
We find exactly in which aspects the agent is failing, and improve it.
The Human Reference
Many people in the same scenario.
Trajectory, hesitation, decisions, attention.
The Agent
Run many times in the same scenario,
measured on the same signals.
Distributional Distance
Compare the two behavioral distributions,
signal by signal.
