README.md

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title: Misraj AI
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# مِسراج — Misraj AI

> **Built on Trust. Measured by Impact.**  
> The next-generation Arabic AI lab — building the foundational infrastructure for Arabic language understanding, generation, and document intelligence.

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## 🧭 About Us

**Misraj AI** is the AI research division of **Misraj Technology**, a Saudi-based technology group with over **10 years** of experience delivering enterprise digital solutions across 15 sectors. Our AI lab is dedicated to a singular mission: making Arabic a first-class language in the modern AI era.

We develop open models, large-scale datasets, rigorous benchmarks, and production-ready AI systems — all purpose-built for Arabic, a morphologically rich language that has long been underserved by mainstream AI research.

From our research lab to operational products, we build a comprehensive system that enables governments and enterprises to adopt AI with **confidence, depth, and speed**.

> 📊 **15+ research papers** · **35 billion open Arabic data tokens** · Honored by **AI Pioneers**

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## 🏢 Areas of Expertise

Our AI solutions span critical industry verticals, combining deep domain knowledge with state-of-the-art Arabic NLP:

- 🏥 **Healthcare Technology** — Clinical documentation and Arabic medical NLP
- 🏦 **Financial Technology** — Document intelligence for banking and finance
- ⚖️ **Legal Technology** — Contract analysis and legal document processing
- 🎓 **Educational Technology** — Arabic learning and knowledge systems
- 🏛️ **Administrative Technology** — Government and enterprise document automation

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## 📈 Open Benchmarks & SOTA Results

We develop rigorous, expert-verified benchmarks to establish clear performance standards for Arabic AI. Our models consistently lead these benchmarks against both open-source and commercial competitors.

| Benchmark | Focus | Key Performance (SOTA) |
| :--- | :--- | :--- |
| [**Misraj-DocOCR**](https://huggingface.co/datasets/Misraj/Misraj-DocOCR) | Arabic Document OCR | **Baseer** achieves **0.25 WER**, outperforming Azure AI and Gemini 2.5 Pro. |
| [**KITAB-Reviewed**](https://huggingface.co/datasets/Misraj/KITAB_pdf_to_markdown_reviewed) | PDF-to-Markdown | **Baseer** leads in structure with a **56 TEDS** and **68.13 MARS** score. |
| [**Tarjama-25**](https://huggingface.co/datasets/Misraj/Tarjama-25) | Bi-directional Translation | **Mutarjim (1.5B)** outperforms models 20x its size (including GPT-4o mini) in EN→AR. |
| [**SadeedDiac-25**](https://huggingface.co/datasets/Misraj/SadeedDiac-25) | Arabic Diacritization | **Sadeed** achieves a competitive **1.2% Diacritic Error Rate (DER)**. |

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## 📦 Open Datasets

Our large-scale datasets provide the foundational fuel for high-performance Arabic model training.

| Dataset | Description | Scale |
| :--- | :--- | :--- |
| [msdd](https://huggingface.co/datasets/Misraj/msdd) | Misraj Structured Document Dataset | 26.4M rows |
| [mudd](https://huggingface.co/datasets/Misraj/mudd) | Misraj Unstructured Document Dataset | 4.76M rows |
| [Arabic-Image-Captioning](https://huggingface.co/datasets/Misraj/Arabic-Image-Captioning_100M) | Multimodal Arabic captioning pairs | 100M pairs |
| [Sadeed Tashkeela](https://huggingface.co/datasets/Misraj/Sadeed_Tashkeela) | Cleaned & expert-filtered diacritization corpus | 1.05M samples |

> 📊 **35+ billion** open Arabic data tokens released and growing.

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## 📬 Connect With Us

| Platform | Link |
|---|---|
| 🌐 Misraj AI | [misraj.ai/en](https://misraj.ai/en) |
| 🌐 Misraj Technology | [misraj.sa/en](https://misraj.sa/en) |
| 🔵 Baseer OCR | [baseerocr.com](https://baseerocr.com/) |
| 🤗 Hugging Face | [huggingface.co/Misraj](https://huggingface.co/Misraj) |
| 💼 LinkedIn | [linkedin.com/company/aimisraj](https://www.linkedin.com/company/aimisraj) |
| 🐦 X / Twitter | [@aimisraj](https://x.com/aimisraj) |
| 💻 GitHub | [github.com/misraj-ai](https://github.com/misraj-ai) |
| 📸 Instagram | [@misraj__ai](https://www.instagram.com/misraj__ai/) |