Series vs Steel
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Series compared with Steel
| Detail | 
Series | 
Steel |
|---|
| What it does | Transform imaginative ideas into unforgettable gaming experiences
| GPU-accelerated rigid-body dynamics solver for robot learning
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| Stage | Not given
| Not given
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| Founded | 2023
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Open source
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| Pricing | Not given
| Not given
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| Key features | - AI-native game design
- Personalized entertainment hubs
- Generative AI systems for game creation
- Franchise games creation
- Interactive digital content
| - 3.8× PhysX throughput on 20 benchmarks geometric mean
- 13.0× performance on heterogeneous task mixtures
- Per-environment work scheduling for efficiency
- Reduced-coordinate articulation dynamics
- Differentiable simulation
- Rigid-deformable coupling support
- Compliant and hydroelastic contact
- 62% less GPU memory than PhysX at matched batch size
- 3.90 million environment steps per second peak throughput
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| What makes it different | - Uses generative AI as foundation for previously impossible storytelling and gameplay
- Team of game veterans from leading gamemakers
- Launched live games with cutting-edge AI systems
- Blends human creativity with AI at new scales
| - Designed for heterogeneous workloads with different robots and tasks simulated together efficiently
- Integrated into open-source Newton for seamless adoption without separate physics stack
- Supports diverse physical interactions beyond rigid bodies
- Enables scaling of diverse robot experience for general-purpose learning
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ● no change since last check | 67 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 24 |
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| Citation Flow (Majestic) | 15 | 40 |
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| Referring domains (Majestic) | 107 | 2061 |
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3 details filled in for both companies.
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