Regression Games vs Steel
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Regression Games compared with Steel
| Detail |
Regression Games |
Steel |
| What it does | AI agent platform for building bots in Unity for QA testing, NPCs, multiplayer, game balancing, and more
| GPU-accelerated rigid-body dynamics solver for robot learning
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| Stage | Not given
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| Founded | 2022
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| Based in | US
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| Pricing model | Free
| Open source
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| Pricing | Not given
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| Key features | - Replay features for analyzing bot behavior
- Validation libraries for behavior testing
- CI/CD integration for automated testing
- Live reloading for real-time development
- Simple Unity SDK integration
- Easy configuration with graphical interfaces
- Bot templates for multiple game genres
- Menu navigation and character control capabilities
| - 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 | - Lightning-fast integration requiring just a few lines of code
- All-in-one framework with replay, validation, and CI/CD features included
- Live reloading eliminates build wait times
- Pre-built bot templates to get started instantly
| - 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 |
| DR (Domain Rating by Ahrefs) | 26 ▲ +1 (up) since last check | 67 ● no change since last check |
| Trust Flow (Majestic) | 6 | 24 |
| Citation Flow (Majestic) | 17 | 40 |
| Referring domains (Majestic) | 139 | 2061 |
4 details filled in for both companies.
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