AI Security in Saudi Arabia: From Protecting Systems to Protecting Automated Decisions
AI Security in Saudi Arabia: From Protecting Systems to Protecting Automated Decisions
We understand deeply. We build from the source. And we run with confidence.
Digital transformation with sovereignty built in
Baseer reads a document the way a person does (columns, tables, headers, layout hierarchy) and returns clean Markdown instead of a run of characters. Baseer Extract takes the next step and returns fields: the line items on a form, the dates in a decision, the entries on an identity document, in a shape a case-management or ERP system can consume without anyone re-keying them.
Explore Baseer OCRSeamless Enterprise runs the best available open-source models inside your own environment: chat, retrieval and analysis over your own knowledge, on-premises or on dedicated in-Kingdom servers. Sovereignty here is a posture that cuts across the whole catalog rather than a feature of one product.
Retrieval connects to internal document stores, databases and business systems, so an answer is traceable to the record it came from. Arabic retrieval is handled by the Kawn-Embed family and Arabic document parsing by Baseer, which is why it holds up on Arabic corpora where generic RAG stacks degrade.
Explore Seamless EnterpriseEvery capability above ships as a product the ministry can deploy on its own servers: Seamless Enterprise for retrieval, Baseer Extract for documents, Sada for meetings and Workforces for the approvals in between.
AI Security in Saudi Arabia: From Protecting Systems to Protecting Automated Decisions
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.
Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.
Tell us the problem. We'll tell you honestly whether AI is the right answer.