Our Technology
Mubeen: Advanced Arabic Language Understanding
A specialized Arabic language model developed by MASARAT SA to preserve and advance Arabic and Islamic heritage through cutting-edge AI technology, enabling unprecedented access to classical Arabic scholarship and cultural knowledge.
Overview
Mubeen is a specialized Arabic language model developed by MASARAT SA (masarat.sa) to preserve and advance Arabic and Islamic heritage through advanced AI technology. Supporting Saudi Arabia's Vision 2030 initiative, Mubeen represents a breakthrough in Arabic natural language processing, specifically designed for classical Arabic texts and Islamic scholarly content.
Model Capabilities
Arabic Language Expertise
Mubeen demonstrates exceptional performance across Arabic language tasks, with particular expertise in classical Arabic understanding and Islamic scholarship. The model has been trained on a comprehensive corpus of Arabic texts, enabling sophisticated handling of Arabic's unique linguistic characteristics.
Key Strengths:
Islamic Studies and Scholarship
The model demonstrates advanced capabilities in Islamic studies, trained on carefully curated classical Islamic texts across multiple disciplines including jurisprudence, Quranic studies, Hadith literature, and Arabic linguistics.
Domain Coverage:
Image Analysis and Document Processing
Mubeen integrates advanced multimodal capabilities specifically designed for Arabic content understanding. The model analyzes images, extracts Arabic text, and provides comprehensive descriptions with deep cultural and linguistic context awareness, seamlessly processing both classical and modern Arabic content.
Key Features:
Technical Architecture
Model Design
Mubeen is built on a modern transformer architecture optimized specifically for Arabic text processing. The model incorporates several Arabic-specific enhancements to better handle the unique characteristics of the Arabic language, including its rich morphology, right-to-left text direction, and diacritic systems.
MoE Architecture
Mubeen implements a Mixture of Experts (MoE) architecture that efficiently scales model capacity while maintaining computational efficiency. This approach allows for specialized processing of different types of Arabic content, improving both performance and resource utilization during inference.
Optimization Technology
We utilize the KTransformers framework for efficient model deployment and optimization. KTransformers is an open-source platform that enables high-performance inference on standard hardware through advanced optimization techniques including hybrid CPU/GPU processing and Intel AMX acceleration. This technology allows Mubeen to deliver strong performance while maintaining cost-effective operation. Learn more about KTransformers at github.com/kvcache-ai/ktransformers.
Knowledge Integration
The model combines large-scale language understanding with intelligent knowledge synthesis from embedded training materials. This hybrid approach allows for accurate, source-informed responses that maintain scholarly rigor while ensuring accessibility for modern users.
Important: Mubeen's knowledge is embedded from carefully curated classical sources, ensuring authentic and reliable responses without requiring external lookups.
Training and Development
Data Foundation
Mubeen's training corpus comprises carefully curated classical Arabic texts, ensuring authenticity and scholarly value. The dataset includes foundational works across Islamic scholarship, Arabic linguistics, classical literature, and contemporary academic research.
Source Categories:
Quality Assurance
Our development process emphasizes accuracy and cultural sensitivity, with comprehensive quality control measures throughout the training pipeline. Source materials undergo verification for authenticity and scholarly value, ensuring the model's responses align with established academic standards.
Safety and Alignment
Mubeen has been developed with careful attention to safety and cultural sensitivity, particularly when handling religious and cultural content. The model is designed to provide informative, respectful responses while maintaining scholarly objectivity.
Performance and Evaluation
Beta Testing Results
Current beta testing demonstrates strong performance in Arabic language understanding tasks, particularly in classical text interpretation and scholarly question-answering. Users report high satisfaction with the model's ability to handle complex Arabic structures and provide contextually appropriate responses.
Comparative Strengths
Beta users have noted Mubeen's specialized capabilities in areas where general-purpose models typically show limitations:
Current Beta Features
Available Now
Text Understanding and Generation:
Image Analysis and Visual Processing:
Embedded Knowledge:
Beta Limitations
As an early beta release, current limitations include:
Future Development
Advanced Reasoning (In Development)
- • Enhanced analytical capabilities for complex scholarly questions
- • Multi-step reasoning for comparative studies
- • Deeper contextual understanding across related texts
API and Integration (Coming Soon)
- • Developer API for third-party applications
- • Integration tools for educational platforms
- • Batch processing capabilities for research applications
Advanced Visual Capabilities (Future Release)
- • Document processing for historical texts
- • Visual content generation including Arabic calligraphy
Advanced Research Tools (Planned)
- • Comprehensive knowledge synthesis and analysis capabilities
- • Cross-reference analysis across embedded knowledge domains
- • Scholarly collaboration features
Supporting Saudi Vision 2030
Digital Heritage Preservation
Mubeen directly supports Saudi Arabia's Vision 2030 objectives by advancing the digitization and preservation of Arabic and Islamic heritage. The project contributes to the Kingdom's goals of cultural preservation, technological innovation, and positioning Saudi Arabia as a leader in Arabic artificial intelligence.
Knowledge Economy Development
By making classical Arabic scholarship more accessible through modern AI technology, Mubeen supports the development of a knowledge-based economy while preserving cultural authenticity and scholarly rigor.
Global Arabic AI Leadership
The project represents Saudi Arabia's commitment to leading innovation in Arabic language technology, demonstrating how advanced AI can serve specific cultural and linguistic needs while maintaining global competitiveness.
Experience Mubeen Beta
Try the Beta Release
Mubeen is currently available for beta testing, allowing users to experience our specialized Arabic language capabilities. We encourage testing across various use cases to help us understand the model's strengths and areas for improvement.
Recommended Testing Areas:
Feedback and Improvement
Beta user feedback is essential for our continued development. We actively monitor usage patterns and incorporate user insights to enhance the model's performance and expand its capabilities.
Research and Safety
Ongoing Innovation
Our research team continues to advance Arabic natural language processing through focused research in morphological analysis, historical text processing, and semantic understanding. Current research priorities include improving accuracy for manuscript variations and enhancing cross-cultural knowledge integration.
Academic Collaboration
We welcome collaboration with researchers and institutions working on Arabic language processing, Islamic studies, and digital humanities. Our goal is to contribute to the broader advancement of Arabic AI while serving the specific needs of Arabic-speaking communities.
Ethical AI Development
Mubeen is developed with careful attention to ethical considerations, particularly regarding cultural sensitivity and religious content. We maintain strict guidelines for handling sensitive topics and ensure our model responds appropriately to diverse cultural perspectives.
Privacy and Security
User interactions with Mubeen are processed with strong privacy protections. We implement comprehensive security measures to protect user data and maintain confidentiality, particularly for educational and research applications.
Content Accuracy
While Mubeen demonstrates strong performance in beta testing, users should verify important information, particularly for academic or religious guidance. The model is designed as an educational and research tool, not as a replacement for human scholarly expertise.
About MASARAT SA
MASARAT SA (masarat.sa) is a Saudi technology company dedicated to advancing Arabic artificial intelligence and preserving Islamic heritage through innovative digital solutions. As part of our commitment to Saudi Vision 2030, we focus on developing specialized AI technologies that serve Arabic-speaking communities while strengthening the Kingdom's position as a global technology leader.
Contact Information
Partnership Opportunities
We welcome collaboration with organizations that share our mission of preserving and advancing Arabic heritage through technology:
Technical Resources
Comprehensive documentation for Mubeen's capabilities and usage guidelines is available for beta users. Our technical support team provides assistance for integration questions and usage optimization.
Specialized Capabilities
Specialized Capabilities
Mubeen offers unique specialized capabilities that distinguish it from general-purpose language models, with deep expertise in Arabic language sciences and comprehensive knowledge across multiple domains.
Arabic Language Sciences
- • Grammatical analysis and parsing
- • Poetry analysis and metrics
- • Morphological analysis
- • Rhetorical analysis
Cultural Understanding
- • Classical text comprehension
- • Arabic dialects understanding
- • Cultural traditions knowledge
- • Historical context awareness
Multimodal Analysis
- • Visual content analysis
- • Document processing
- • PDF text extraction
- • Chart interpretation
Problem Solving
- • Mathematical problem solving
- • Technical troubleshooting
- • Logical analysis
- • Educational support
Content Creation
- • Creative writing
- • Report generation
- • Article composition
- • General consultation
General Knowledge
- • Science and technology
- • History and geography
- • Basic programming
- • General sciences
Performance Benchmark
Comprehensive evaluation results comparing Mubeen against Arabic and global language models across multiple domains.
Model Performance Comparison
| Metric | Mubeen Saudi Arabia | Allam Saudi Arabia | Falcon-H1 UAE | Falcon-Arabic UAE | Jais30B UAE | Jais70B UAE | Fanar Qatar | AceGPT SA-CN | Global Models - | |
|---|---|---|---|---|---|---|---|---|---|---|
| Arabic Language & Heritage 0-shot CoT | 97% | 18% | 58% | 48% | 38% | 38% | 18% | 33% | 80% | |
| Translation (Arabic ↔ English) 0-shot | 97% | 75% | 73% | 78% | 73% | 78% | 68% | 68% | 90% | |
| Logical & Mathematical Reasoning 0-shot CoT | 82% | 18% | 73% | 28% | 28% | 68% | 68% | 43% | 90% | |
| Creativity & General Writing 0-shot | 92% | 58% | 83% | 73% | 78% | 83% | 68% | 73% | 94% | |
| Reliability & Accuracy 0-shot CoT | 97% | 18% | 63% | 38% | 28% | 48% | 28% | 33% | 85% |
Initial Evaluation
Final Evaluation
Mubeen is a proprietary technology developed by MASARAT SA (masarat.sa) to support Saudi Vision 2030 and advance Arabic artificial intelligence capabilities. This documentation represents our current beta release as of July 2025. For inquiries about partnerships, beta access, and business opportunities, please contact us at info@masarat.sa