| --- |
| title: Imagine.io |
| tags: |
| - physical-ai |
| - robotics |
| - simulation |
| - openusd |
| - synthetic-data |
| - sim2real |
| --- |
| |
| # Imagine.io |
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| The world generation layer for Physical AI. |
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| Imagine.io builds simulation-ready, physics-accurate environments from real-world products, then scales them with parametric variation for robust policy training. |
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| ## What we build |
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| - Real-world product library with measured geometry, materials, and physics properties |
| - Custom environment building for robotics training workflows |
| - Parametric variation at scale across layout, lighting, materials, and object density |
| - OpenUSD-native delivery compatible with OpenUSD-based simulation pipelines |
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| ## Built for |
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| - Robotics simulation for manipulation, grasping, and navigation |
| - Synthetic data and ground truth generation |
| - Teams working to reduce sim-to-real gap in Physical AI |
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| ## Platform highlights |
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| - Sub-millimeter geometric accuracy from real-world scanning |
| - Physics-validated assets with articulation and collision support |
| - OpenUSD formats: USD, USDA, and USDC |
| - Commercial-use licensing for delivered assets and environments |
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| ## Learn more |
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| - Website: https://physical.imagine.io/ |
| - Robotics Simulation: https://physical.imagine.io/use-cases/robotics-simulation |
| - Synthetic Data: https://physical.imagine.io/use-cases/synthetic-data |
| - Assets: https://physical.imagine.io/library/assets |
| - Environments: https://physical.imagine.io/library/environments |
| - Contact: https://physical.imagine.io/contact |
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