PulpoAR vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
PulpoAR compared with Linum
| Detail | 
PulpoAR | 
Linum |
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| What it does | AI-powered beauty technology for virtual try-ons and skin analysis
| Generative video models for animation
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| US
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| Pricing model | Contact for pricing
| Not given
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| Pricing | Not given
| Not given
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| Key features | - Real-time AR makeup try-on with layering and preset looks
- AI skin concern detection for wrinkles, oiliness, and dark circles
- AI-powered shade finder for foundation and concealer matching
- Smart mirror for touchless in-store try-ons
- AI hairstyle and hair color visualization
- AR nail polish try-on with multiple finishes
- Robust face tracking with movement stability
- AI color analysis for skin tone-based shade suggestions
| - 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
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| What makes it different | - GDPR-compliant with no storage of personal images or biometric data
- Works in both online and offline retail environments
- Google AR Partner with extensive product library
- Demonstrated 12% average add-to-cart conversion rate increase
| - 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
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| Free plan | Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 46 ▼ −1 (down) since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 8 | 5 |
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| Citation Flow (Majestic) | 26 | 32 |
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| Referring domains (Majestic) | 136 | 397 |
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4 details filled in for both companies.
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