Linum vs Curatrix
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Linum compared with Curatrix
| Detail | 
Linum | 
Curatrix |
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| What it does | Generative video models for animation
| Multimodal annotation platform for skilled work
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| DE
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
| Not given
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| Key features | - Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
- 4× more aggressive token reduction than Linum v2
- Converges in 11× fewer samples than Linum v2
- 2B-parameter model with frozen Qwen text encoder
- Pixel-space diffusion with multi-resolution readouts
- PixelREPA alignment with DINOv3-L
- Curriculum learning over noise schedule
| - First-person video capture with head, helmet or chest-mounted cameras
- Dual-reviewed annotation of tasks, tools, objects and outcomes
- Privacy processing including face and text removal before release
- Documented protocols agreed before recording begins
- Contributor consent tracking and payment per accepted hour
- Provenance records with capture context, protocol version and processing history
- Evaluation, research, commercial and enterprise licence tiers
- Custom dataset collection for specified tasks and environments
- Formats: MP4 video, Parquet tables, JSON manifest
- Immutable, versioned releases for reproducible experiments
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| What makes it different | - Low-cost training: full 2B model trained for just $21K in compute
- Controls baked into model training rather than post-hoc fine-tuning
- Pixel-space compression without separate VAE bottleneck
- Apache 2.0 open release with full model weights and code
| - Real-world field recordings from skilled professionals instead of lab or simulated data
- Includes failure and recovery episodes with explicit outcome state labels
- Contributors are paid upfront agreed rates with transparent review decisions
- Quality assurance with sample re-annotation and written acceptance criteria
- ISO 27001 and SOC 2 Type II certification in progress
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 44 ▲ +1 (up) since last check | 3 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 32 | 0 |
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| Referring domains (Majestic) | 397 | 0 |
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4 details filled in for both companies.
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