Product memo
Robotics simulation teams use Rigyd to generate physics-enabled 3D assets. It converts raw 3D models, images, or text into OpenUSD assets, addressing the data bottleneck in simulation. This approach enables domain randomization at scale, which reduces the sim-to-real gap and cuts costs compared to manual workflows.
For who
Robotics simulation teams
Solves what
Generates physics-enabled 3D assets for robotics simulation.
- 3D to OpenUSD conversion
- Physics-accurate simulation data
- Domain randomization at scale
In their own words
Turn
Raw 3D/image/text in, physics-enabled OpenUSD and MJCF out. The infrastructure for building millions of physics-accurate simulations across every scenario.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • A free tier with 3 credits per month drives initial adoption.
- • Credit-based usage scales directly with simulation data needs.
Operator context
Operating setup
Founded
May 2026
HQ
United States
Platform
Web app
Audience
Developers
Social footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Rigyd Expand
Rigyd provides an AI-native infrastructure for robotics simulation teams, generating SimReady 3D assets that are critical for developing and testing robotic systems. It addresses the common data bottleneck in simulation by converting various inputs into physics-enabled OpenUSD assets.
This capability allows for domain randomization at scale, which is essential for reducing the gap between simulated and real-world performance. By focusing on high-quality, physics-accurate assets, Rigyd helps teams build millions of simulations across diverse scenarios, improving the efficiency and reliability of robotics development.