Lingvanex vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Lingvanex compared with Linum
| Detail | 
Lingvanex | 
Linum |
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| What it does | AI-powered speech and translation tools for 100+ languages
| Generative video models for animation
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| Stage | Not given
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| Founded | Not given
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| Based in | CY
| US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - Translates text, documents, audio and images into 100+ languages
- Speech recognition in 91 languages
- Real-time speech-to-text with punctuation
- On-premise, SDK and cloud deployment options
- Browser extensions for Chrome, Opera, Safari and Firefox
- Desktop applications for Windows and Mac
- Mobile apps for iOS and Android
- Slack integration for team communication
- Offline translation without internet
- Data privacy with local processing
| - 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 | - Total privacy protection by translating millions of files locally without cloud transmission
- Real-time speech-to-text transcription with automatic punctuation
- Supports 100+ languages for translation and 91 languages for speech recognition
- Multiple deployment options for enterprise flexibility
| - 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
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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) | 73 ● no change since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 22 | 5 |
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| Citation Flow (Majestic) | 50 | 32 |
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| Referring domains (Majestic) | 1198 | 397 |
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4 details filled in for both companies.
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