The physics layer
for physical AI.
Turn any 3D mesh into a simulation-ready environment in seconds. No manual tuning. No guesswork. Built for MuJoCo, Gazebo, PyBullet, and Isaac Sim.
Used by robotics teams training on MuJoCo · Gazebo · PyBullet
Average
processing time
Physics profiles
per scene
DR ranges
computed automatically
Simulation setup is still a 3-month manual nightmare.
[ Manual Pipeline ]
Rebuild collision meshes manually
Estimate mass and density (guesswork)
Tune friction via trial-and-error
Maintain simulator-specific XML configs
Block training for 3+ months
[ EnviScale API ]
Upload raw .obj / .glb mesh
Infer mass, density, friction automatically
Generate domain-randomized surface profiles
Export MuJoCo, Gazebo, PyBullet formats
Simulation-ready in <5 seconds
Manual Pipeline
EnviScale API
Stop tuning physics. Start training robots.
No pipeline. No guesswork. Just a compiler for physics.
Upload your mesh
.obj .ply .glb .gltf .stl
Drag & drop or REST API call
mug.glb · 18,240 vertices · watertight
Simulation parameters
computed from geometry
Computed in 2.09s · Deterministic · Simulator-ready
Download your
simulation files
+ physics_report.json
Full confidence report, DR training ranges,
collision hull metadata
MuJoCo · Gazebo · PyBullet ready
From mesh to simulation in seconds.
Not a pipeline. A compiler for physics.
- →Mass, friction, and inertia derived from geometry
- →Deterministic outputs for reproducible training
- →Simulation-ready across engines instantly
Same object. Different surface conditions.
PROFILE: [clean]
01/03Perfect lab conditions • high friction • stable contact
DR TRAINING RANGE
→ scene_clean.xml ready to load
PROFILE: [worn]
02/03After repeated use • smoother surfaces • reduced grip
DR TRAINING RANGE
→ scene_worn.xml ready to load
PROFILE: [contaminated]
03/03Dust or oil present • low friction • worst-case handling
DR TRAINING RANGE
→ scene_contaminated.xml ready to load
One API call. Complete simulation package.
No SDK. No complex setup. Just curl.
Simple pricing. No simulation PhD required.
Traditional manual setup: ~$10k/scene. EnviScale: $299/mo.
FREE
3 scenes/month
STARTER
50 scenes/month
PRO
Unlimited scenes
The physics layer
for physical AI.
Built for robotics teams training on MuJoCo,
Gazebo, and Isaac Sim.
Early access · limited spots available.