SAIF develops applied AI capabilities for Syria and the Levant by creating trusted data sets, agentic systems, and training programs that integrate regional languages, dialects, and institutional knowledge into global AI models. Their work spans applied research, practical AI tools for public‑interest services, and standards for responsible AI adoption, partnering with governments, enterprises, and universities to ensure local knowledge remains visible in emerging AI systems.
Funding
Funding not disclosed
Founders
Product
Problem
Regional languages, dialects, archives, and institutional memory in Syria and the Levant are under-documented and unstructured, causing them to be omitted from Arabic and global AI models. This leads to a loss of local knowledge in emerging AI-driven knowledge platforms.
Solution
SAIF addresses this gap by conducting applied research to create trusted data resources that capture regional linguistic and cultural content. The organization structures and prepares these resources for integration into AI systems, ensuring they are visible and usable in both Arabic and global contexts. It also develops agentic workflow tools and product prototypes that embed this knowledge into institutional operations and public‑interest services. Through structured training programs, SAIF builds local expertise in AI, data handling, and digital skills, enabling governments, enterprises, and universities to adopt AI responsibly and with rigorous standards.
Target Audience
Primary customers are governmental agencies, enterprises, and universities in Syria and the Levant that require localized AI capabilities and responsible adoption frameworks.
Features
- Curated, high‑quality datasets of Syrian and Levantine languages, dialects, and archival materials for AI training
- Evaluation frameworks and research agendas that define rigorous, accountable AI adoption standards
- Agentic workflow tools that connect AI models to institutional knowledge and support expert tasks
- Prototype products that embed regional data into public‑interest services and operational processes
- Structured training tracks, including the Mateen and Trainer Development programs, to develop AI talent and digital skills locally
- Guidance on standards and responsible AI adoption tailored for governments, enterprises, and academic institutions