AI solutions that work in Arabic, on your own data

AI that knows your business

General AI models know a lot about the world and nothing about your products, prices or policies. We connect them to your own documents and data, using a technique called retrieval-augmented generation (RAG), so answers come from what your business actually says. When the information isn’t there, the assistant is built to say so instead of guessing.

Built for Arabic

Most AI products are designed in English first. Your customers write in Arabic, often in Egyptian dialect, and many would rather send a voice note than type. We design for that from the start.

Kalia: AI in production

Kalia is a financial assistant and loyalty ecosystem in Egypt. Its conversational banking advisor uses RAG and talks with users in Egyptian Arabic, by voice and text. Kalia also optimises card spending and instalments, collects bank offers and discounts automatically, and gives administrators an audit portal to review what the AI does.

Kept under control

An AI feature is only useful if you can trust it. We test answers against real questions before launch, log what the assistant says, and give your team tools to review it. Our own engineering follows the same rule: we use AI to work faster, and our engineers review, test and validate every AI-assisted output before it reaches your product.

Part of a real product

AI rarely works alone. It needs a mobile app or web application around it, data from your other systems through APIs, and someone watching it after launch. Our AI engineers work in the same team as the people who build those parts.