Encrust vs Steel
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Encrust compared with Steel
| Detail |
Encrust |
Steel |
| What it does | The fast resin slicer that checks every layer
| 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 | DE
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| Pricing model | Open source
| Open source
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| Pricing | Free. No paid tier, no subscription, no account required.
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| Key features | - Import STL, OBJ and 3MF files with textures
- Automatic repair of holes, broken edges and flipped faces
- Auto-orient with island counting and multi-plate support
- Model hollowing with infill patterns and drain holes
- Automatic supports sized by load with branching trunks
- Adaptive layer slicing with anti-aliasing
- Layer checking for islands, suction cups and thin walls
- Export to 20+ printer file formats including SDCP and PrusaLink
- Runs offline on Windows, macOS and Linux without internet connection
- Layer-by-layer visualization before printing
| - 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 | - Checks every layer for problems before printing in the same time as slicing
- Completely free and open source with no paid tier, subscription or account required
- All files stay on the user's computer with no cloud, no tracking and no telemetry
- Supports 102 printer profiles from 14 different manufacturers out of the box
- Available on Windows, macOS and Linux with identical features and project compatibility
| - 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) | Not checked yet ▼ −1 (down) since last check | 68 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 0 | 24 |
| Citation Flow (Majestic) | 0 | 40 |
| Referring domains (Majestic) | 0 | 2061 |
4 details filled in for both companies.
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