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.

Get Started Free →View API Docs →

Used by robotics teams training on MuJoCo · Gazebo · PyBullet

0.00s

Average

processing time

0

Physics profiles

per scene

0

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

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

mesh validated

mug.glb · 18,240 vertices · watertight

Simulation parameters
computed from geometry

> material_classifier → ceramic (0.84)
> density_lookup → 2400 kg/m³
> mass_solver → 0.31 kg
> friction_model → computed

Computed in 2.09s · Deterministic · Simulator-ready

Download your
simulation files

scene_clean.xml→ baseline physics
scene_worn.xml→ reduced friction
scene_contaminated.xml→ worst-case conditions

+ 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.

clean
worn
contaminated

PROFILE: [clean]

01/03

Perfect lab conditions • high friction • stable contact

Mass0.310 kg
Friction (slide)0.600
Friction (torsion)0.005
Restitution0.200
Confidence84%

DR TRAINING RANGE

mass:[0.23 → 0.40] kg
friction:[0.42 → 0.81]

→ scene_clean.xml ready to load

PROFILE: [worn]

02/03

After repeated use • smoother surfaces • reduced grip

Mass0.310 kg
Friction (slide)0.360
Friction (torsion)0.003
Restitution0.200
Confidence84%

DR TRAINING RANGE

mass:[0.23 → 0.40] kg
friction:[0.25 → 0.49]

→ scene_worn.xml ready to load

PROFILE: [contaminated]

03/03

Dust or oil present • low friction • worst-case handling

Mass0.310 kg
Friction (slide)0.210
Friction (torsion)0.002
Restitution0.200
Confidence84%

DR TRAINING RANGE

mass:[0.23 → 0.40] kg
friction:[0.15 → 0.28]

→ scene_contaminated.xml ready to load

One API call. Complete simulation package.

No SDK. Drop into any pipeline directly.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
api.enviscale.com
 
 
 
 
 
 

Simple pricing. No simulation PhD required.

MonthlyAnnual (save 20%)

Traditional manual setup: ~$10k/scene. EnviScale: $299/mo.

FREE

$0

3 scenes/month

MuJoCo export
Clean surface only
Fill state profiles
Physics report
DR ranges
API access
Email support
Priority support
Get started free

STARTER

$299/month

100 scenes/month

MuJoCo export
All 3 surface profiles
Fill state profiles
Physics report
DR ranges
API access
Email support
Priority support
Start free trial

PRO

$799/month

1000 scenes/month

MuJoCo export
All 3 surface profiles
Fill state profiles
Physics report
DR ranges
API access
Email support
Priority support
Get Pro Access

* Gazebo and PyBullet export coming soon.