Blog
AI Security in Saudi Arabia: From Protecting Systems to Protecting Automated Decisions
AI Security in Saudi Arabia: From Protecting Systems to Protecting Automated Decisions
Healthcare
Arabic health records
a system can actually read
Clinical Arabic, handled with the precision it requires
What healthcare organizations deploy
Search that understands the vocabulary of the record.
Kawn-Embed-Medical converts Arabic clinical text into vectors tuned for that domain, so retrieval across records, protocols and internal guidance returns what a clinician meant rather than what the words happened to match. It runs as part of enterprise retrieval inside your own environment.
Explore Seamless EnterpriseCapability on the inside of the boundary patient data sits behind.
The same private AI platform other regulated sectors deploy: strong open-source models, retrieval over your own knowledge, chat and analysis. Installed on-premises or on dedicated in-Kingdom infrastructure and architected around SDAIA and NCA ECC.
Medical meaning that survives the crossing between Arabic and English.
Mutarjim is a bidirectional Arabic-English model built on Kuwain and trained on a curated bilingual corpus for fine-grained alignment, with medical among the demanding domains it was built to preserve. It is small enough to run in production rather than only in a demonstration.
Products
Built on Misraj products
Seamless Enterprise and Seamless API bring retrieval over clinical Arabic to the systems the hospital already runs, deployed inside its own network.
Resources
Go deeper
Blog
Baseer: Misraj’s Vision Language Model for Arabic Document to Markdown OCR
Baseer by Msraj converts Arabic document images and PDFs into structured Markdown — trained on ~750K pages, it's the top model for Arabic document conversion.
Blog
Behind the Buzzwords: How RAG and AI Agents Really Work
A hands-on introduction to some of today’s most powerful AI concepts—Embeddings, Retrieval-Augmented Generation (RAG), AI Agents, and MCP. In this blog our engineer Wassim Ben Jdida breaks down how these technologies work, when to use them, and even includes code-style examples to help you get started with real-world AI implementations.
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Put Arabic AI to work in Healthcare
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