Most companies don’t need “an AI strategy”; they need one slow, repetitive or error-prone task to get faster and more reliable. That is where we start: find the task, check that AI genuinely helps, and build it into the tools your team already uses.
Our AI work ranges from computer-vision systems trained on real-world images — like the fire-detection models in our Smart Fire Fighting System — to language-model features with strict validation, like SnipCheck’s structured code analysis.
What we build
Computer vision
Detection, counting, inspection and recognition from cameras and images, built with YOLO, OpenCV and PyTorch.
IoT SolutionsAI chatbots & assistants
Customer-service and internal assistants that answer from your own content, in Arabic and English, with a handover to a human.
Document & data processing
Extract, classify and summarise information from forms, invoices, reports and messages.
Machine-learning models
Prediction, classification and recommendation models trained on your data.
AI features in your product
Smart search, suggestions and generated content added to an existing app or platform through reliable APIs.
Custom Software DevelopmentAI automation
Workflows where AI makes a decision and software acts on it — routing, tagging, alerting, reporting.
Smart AutomationWho it’s for
- Businesses in Saudi Arabia, Egypt and the Gulf that handle high volumes of messages, documents or images and want to process them faster.
- Operations, safety and facilities teams that want camera-based monitoring and alerts.
- Product companies adding AI features to an app or SaaS platform.
- Organisations that need AI that works properly in Arabic, not only in English.
Reliable, not magical
We treat AI like any other engineering component: we define what “correct” means, test against real examples from your business, validate outputs before they reach users, and keep a human in the loop where mistakes are costly. Data privacy and where your data is processed are agreed up front.
Technologies we use
A practical, production-ready AI stack:
Five steps.
Zero surprises.
Every engagement follows the same clear, five-step process:
Discover
We start with a free discovery chat to understand your idea, goals, and constraints, then agree on a clear scope.
Design
We design clean, intuitive interfaces and a solid technical architecture before any build work begins.
Build
We build in focused phases with regular check-ins, so you always know where the project stands.
Launch
We ship your product and make sure everything runs smoothly in the real world.
Improve
After launch we keep refining performance, fixing issues, and shipping new features as your product grows.
What shapes the cost and timeline
AI projects are scoped after we see your data and the task. The main factors are:
- Whether a ready AI model/API is enough or a custom model must be trained.
- How much labelled data exists — and how much needs collecting or labelling.
- Accuracy required, and the cost of a wrong answer.
- Where it runs: cloud, your servers, or on a device/camera.
- Integration with your apps, databases and workflows.
- Arabic-language requirements.
We often start with a short proof of concept on your real data, so you see results before committing to a full build.
Projects
Built around
your outcome.
Design-first
Every layer crafted with precision — usability and delight are never afterthoughts.
End-to-end
One team from idea to launch and beyond — mobile, web, AI, and the glue between them.
Performance-driven
Fast, scalable, and reliable software built to perform under real-world use.
Worldwide
We work in English and Arabic and serve clients worldwide.
Frequently asked questions
What kind of AI solutions do you build?
Computer-vision systems (detection, inspection, counting), chatbots and assistants, document and data processing, machine-learning models and AI features inside existing apps.
Do your AI chatbots support Arabic?
Yes. We build assistants that understand and reply in Arabic and English, answer from your own content, and hand over to a human when needed.
Do we need a lot of data to use AI?
Not always. Many tasks work with existing AI models plus a small set of your examples. Custom computer-vision or prediction models need more data — we’ll assess what you have in the discovery call.
Is our data safe?
We agree up front where data is stored and processed, use only what the task needs, and can keep processing on your own infrastructure when required.
Can AI be added to our existing system?
Yes. Most of our AI work plugs into existing apps, websites and databases through APIs rather than replacing them.
How do we start?
Send us a short description of the task. We reply within 24–48 hours, and usually propose a small proof of concept on your real data first.
Have a task AI could take over?
Describe it in a few lines and we’ll reply within 24–48 hours.
Get in touch