Powered by Gemini AI & PyBullet Physics

Autonomous
Physics Simulation
Pipeline

Generate high-quality synthetic training data for Physical AI.From prompt to validated video in seconds.

See It In Action

Watch the autonomous pipeline transform prompts into physics simulations

Neuro-Sim Cosmos
Input Prompt
A red ball bouncing on a wooden floor
Prompt
Generate
Simulate
Render
Validate

Prompt...

Built for Physical AI

A complete autonomous pipeline for generating synthetic physics simulation data

LLM Code Generation

Gemini 2.0 automatically generates complete, executable physics simulation code from natural language descriptions. Supports PyBullet with template-based optimization.

PyBulletMuJoCo ReadyTemplate-Based

Physics Simulation

Headless execution in sandboxed environments with accurate rigid body dynamics, collision detection, and configurable parameters.

HD Video Rendering

Automatic frame capture with professional lighting, dynamic cameras, and FFmpeg compilation in preview (640p) or export (1080p) quality.

VLM Validation

Gemini 1.5 Pro Vision analyzes rendered videos to validate physics accuracy across 6 metrics including gravity, collision, and momentum.

Batch Processing

Generate hundreds of simulations in parallel with intelligent queue management, progress tracking, and automatic retry on failures.

Up to 5 parallel jobs
Real-time WebSocket updates
Sandboxed execution

Multi-Agent Architecture

Specialized AI agents coordinated by a central orchestrator

Orchestrator

Pipeline Coordinator

Manages workflow, state, and agent communication

Code Generator

LLM Agent (Gemini 2.0)

Generates PyBullet code from prompts

Physics Runner

Simulation Engine

Executes code and captures frames

VLM Validator

Vision Agent (Gemini 1.5)

Validates physics accuracy

8
Pre-built Templates
2
Quality Modes
6
Validation Metrics
30s
Avg Generation Time

Ready to Generate
Synthetic Data?

Start creating physics simulations in seconds. No setup required.