AI for government that never leaves your jurisdiction
Digital transformation with sovereignty built in
Ministries and government agencies need AI that runs inside their jurisdiction, aligned to SDAIA and NCA ECC, and that reads Arabic government archives, forms and records structurally rather than as scanned images.
Why a ministry evaluates us differently
For a government buyer, deployment is the first question rather than the last. Every Misraj model can run on your own hardware, inside the Kingdom, architected around SDAIA and NCA ECC. That is the default posture across the catalog, not an enterprise tier. And because we train our own Arabic models rather than licensing someone else's, the Arabic in your archives, forms and records is a research problem we own rather than a support ticket we file.
Deployed where the law requires
On-premises, on dedicated servers inside the Kingdom, or fully air-gapped. The compliance boundary is a deployment choice you make, not a ceiling on what the platform is allowed to do.
Arabic as the starting point
The models are built for Arabic script, dialect and classical structure from the ground up, backed by our own research and our own corpora, not an English-first system with a translation layer over it.
One vendor, the whole stack
The models, the platforms that run them and the products built on top are all ours. When something fails on Arabic government material, it is fixed in the model rather than escalated to whoever licensed it to us.
What government teams deploy
- Document intelligence
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.
Document Intelligence - Sovereign deployment
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.
- Enterprise search
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.
Enterprise Search & RAG - Process automation
Workflows that can actually reach a government system.
Nova Star connects everyday business tools to government platforms without the integration work that normally eats weeks of IT time, and Workforces puts pre-built agents on top of an existing ERP and document pipeline to do the chasing, the re-keying and the follow-up. You decide where the approval checkpoints sit; nothing consequential happens without a human signing off.
Process Automation
Already running in the sector
A national statistics authority
Large volumes of Arabic-language forms and archives needed to be digitized and structured, with manual review creating a growing backlog.
Misraj's document intelligence - Baseer's Arabic OCR and structured extraction, delivered through Baseer Extract - automated extraction from scanned and handwritten Arabic text.
Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.
Deployment and compliance
On-premises, on dedicated servers inside the Kingdom, or fully air-gapped, across the whole model portfolio, with the architecture designed around SDAIA and NCA ECC from the start rather than certified against them afterwards. The Trust Center carries the current detail.
Let's talk about what you're trying to build.
Tell us the problem. We'll tell you honestly whether AI is the right answer.