Knowledge systems
Document intelligence and knowledge graphs that connect your records and cite their sources, in Arabic and English.
The AI Software Factory
We build what we recommend.
Advice that stops at the slide changes nothing. The AI Software Factory is the engineering discipline behind every recommendation we make: the same team and the same method, from the first working prototype to the system your people use every day.
What the Factory builds
Four kinds of system.
Requests arrive in many vocabularies. They resolve into four kinds of system, and naming which one is the first useful act.
Agent workflows
Agents that read, act and stop for approval, with every action recorded and reviewable.
Integration layers
Published interfaces into ERP, CRM and cloud, so AI works where the records already live.
Platform modernisation
Legacy systems rebuilt or wrapped behind a contract, so AI can rely on them.
How it is built
Four stages, and what each one owes you.
Every system passes the same four stages. Each one produces something you can inspect before the next begins.
The domain model and its boundaries are agreed before a service is written.
Standards
The parts that are not negotiable.
These hold on every engagement, whatever the stack or the deadline. They are expensive to add afterwards and cheap to start with.
Approval where it matters.
A person approves every action with consequences outside the system.
Delivery automation.
Every change is built, tested and released by the same pipeline.
Secure by design.
Access, data handling and residency follow the PDPL obligations that apply to the client.
Evaluated before release, watched after.
Answers and actions are tested against agreed examples, then monitored in production.
Start here
Bring us the decision you are weighing.
A briefing is a conversation about one process and the systems around it. If there is a fit, we propose a diagnosis or a defined build.