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MISRAJAI
What we believe

We understand deeply. We build from the source. And we run with confidence.

Government

AI for government that never leaves your jurisdiction

Digital transformation with sovereignty built in

What government teams deploy
  • Your paper archive becomes a structured record, not a folder of scans.

    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 OCR
  • Capability that arrives without the data leaving.

    Seamless 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.

  • Answers drawn from your own records, not from a general model.

    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 Enterprise
Products

Built on Misraj products

Every 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.

Built on Kawn models
Resources

Go deeper

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

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.

Case study

A national statistics authority

Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.

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Put Arabic AI to work in Government

Tell us the problem. We'll tell you honestly whether AI is the right answer.