Blackswan Space vs Steel
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Blackswan Space compared with Steel
| Detail |
Blackswan Space |
Steel |
| What it does | Software for satellite autonomy and space mission simulation
| GPU-accelerated rigid-body dynamics solver for robot learning
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| Stage | Not given
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| Founded | Not given
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| Based in | LT
| Not given
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| Pricing model | Freemium
| Open source
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| Pricing | Mission Design Simulator (MDS): $2.3k per user/month. Free trial available for 14 days.
| Not given
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| Key features | - Real-time orbital mechanics simulation
- RPO and docking simulation
- Monte Carlo analysis
- Hardware-in-the-loop and software-in-the-loop simulation
- Synthetic visual data generation
- MATLAB and Simulink integration
- Python API
- 6DoF pose estimation
- Real-time onboard processing at 10Hz or higher
- Docking accuracy ≤4mm and ≤0.5°
| - 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 | - Affordable and easy to use compared to industry legacy solutions
- Real-time simulation capabilities
- Compatible with MATLAB and Python
- ESA-validated technology for real space environments
| - 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) | 30 ▲ +1 (up) since last check | 67 ● no change since last check |
| Trust Flow (Majestic) | 14 | 24 |
| Citation Flow (Majestic) | 31 | 40 |
| Referring domains (Majestic) | 108 | 2061 |
4 details filled in for both companies.
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