We build our own products
Software products we own, run and improve with the people who use them. The first is ThabitSpace, in education; others will follow in other sectors.
An Egyptian software and applied-AI company
Adaptive systems, built Arabic-first
We design, build and run intelligent systems: products of our own, and systems we build for organisations that want to reach their goals. Systems that understand Arabic, work from your own data and sources, and leave the decision with an accountable person.
What we do
We work in two ways, with the same approach and the same team.
We build systems for other organisations
We work with companies and institutions to turn a specific goal into a working intelligent system: we learn the workflow and the data, build and measure, and hand over a system your team owns and can run.
What we build
Capabilities we use in our own products and in client work. Each starts with two questions: what outcome do you want, and how will we know we reached it?
Systems that understand Arabic
Text, documents and audio in Modern Standard Arabic and dialects, including the Arabic–English mixing people actually write and speak.
Knowledge drawn from your sources
We turn documents, slides and recordings into structured, searchable knowledge, with every piece traced to its source: a page, a slide or a timestamp.
Assistants that answer from your sources
Assistants that answer from the sources you approved, cite them, and say they do not know when the answer is not there.
Automation with human review
Workflows where the system proposes, an accountable person approves, and every decision is recorded: who approved it, when, and what changed.
Systems that adapt to each person
Models that estimate where each person stands from their own data and choose the right next step for them, with methods that can be inspected and explained.
Complete platforms, not just prototypes
Web and mobile apps, APIs and cloud infrastructure, serving many organisations at once, in Arabic and right-to-left from the first line.
Education: our strongest work today
ThabitSpace is an adaptive learning platform for teachers, tutoring centres and their students. A teacher uploads their lectures; the system turns them into a curriculum graph that the teacher reviews and signs; then each student is followed concept by concept, from their own teacher’s explanation.
It is the clearest proof of our approach so far: the AI proposes, the expert approves.
How we work with organisations
We start with the goal
We agree with you on the outcome you need, and one clear measure that tells us we got there.
We learn the work and the data
We sit with the people who actually do the work, and examine the data you have, and its limits, before we propose anything.
We build a small version that works
A first, limited version, on real data, used by real people, and measured against the agreed measure.
We scale and hand over
Once the result holds we scale the system and hand it over with its documentation and tests, and stay with you to run and improve it.
What we hold to
A person decides
Wherever a decision matters, the system proposes, a named person approves, and the approval stays on record.
Every answer has a source
What the system says is traced to its source, so it can be checked and corrected.
We measure before we release
Every release is tested against fixed datasets, and any drop in quality stops the release until it is fixed.
Arabic first
We write in Arabic, then translate, and design right-to-left from the start. Arabic is a complete system for us, not a fallback.
Our standards
- AI governanceComing soon
- PrivacyComing soon
- SecurityComing soon
- Our approach
Have a goal you want to reach?
Tell us the outcome you want and the data you have. We will reply with an honest view: whether an intelligent system suits it, and how we would start.