Currently in internal beta. Launch planned for December 2026. Details
WardaUnderstand it togetherالعربية

About Warda

Build understanding.
Make each attempt matter.

Warda is an Arabic-first learning platform connecting what students study, what they understand and what they try: a learning journey from a question to more independent practice.

Built in Ramallah, Palestine. Currently in internal beta, with launch planned for December 2026.

The learning problem we are working on

A student can follow a clear explanation and still struggle when the question changes. A score can describe the result of an attempt without telling the learner which idea needs attention or how to start again. Moving from recognising a solution to applying an idea requires a learning journey.

We are building Warda around that journey: explanations connected to the textbook, room to ask in the learner’s own language, opportunities to practise, and feedback that makes an attempt useful. Our goal is understanding students can apply, with practice providing evidence of what they have learned.

What is the Warda platform?

Warda is an education technology project developing a personal AI tutor for school students. The platform connects lessons, learning content, questions, attempts and feedback so the learning conversation remains connected to the student’s actual course of study.

Our current focus is the Palestinian curriculum and Tawjihi students. Arabic is part of the experience from the beginning: familiar explanations alongside the terminology and meaning students need in their textbooks and exams. Founded by Mahmoud Refai, the project began in 2026 and is based in Ramallah, Palestine.

What makes the Warda experience distinctive?

The value we are building comes from connecting the parts of learning. Each part has a defined purpose, and the learner has room to understand, attempt and review.

The textbook and curriculum provide the starting point

Content lookup is connected to the student’s subject, grade and curriculum edition. When an explanation cites a textbook passage, its source helps the learner return to the lesson and see the idea in context. This keeps explanations closer to what the student is studying and gives them a reference they can check.

Practice connected to the course of study

The assessment flow draws questions from a bank approved within the platform. Practice can be scoped to a subject, unit or lesson. We want an attempt to help a learner apply a particular idea, understand the answer and revisit the point that caused difficulty.

Support that leaves room for the learner’s attempt

In practice mode, hints can provide an entry point and progress when the student needs more help. Hints are connected to the question and aim to preserve the learner’s opportunity to think and try. Availability depends on suitable content having been prepared.

Clear assessment and understandable feedback

For multiple-choice questions, the approved answer key determines correctness and fixed rules calculate the result. Explanation then helps the learner understand why. Written answers have a separate criteria-based assessment process; some cases may need review before a result is released. We make this distinction because different answer types require different assessment methods.

Practice and exam simulation serve different purposes

A hint is useful while learning. An exam simulation should help students see what they can do independently. The platform distinguishes these contexts, restricts hints during exam mode and keeps answer review until the exam is complete.

Attempts carry information about learning

The platform keeps a record of answers and the assistance used, giving practice a history that can be revisited. This is the foundation for developing a clearer view of understanding over time: a correct answer after a hint does not provide the same evidence as an independent answer to a new question.

Our aim: explanations, practice and assessment should work together, helping students build understanding and learn from attempts. We do not publish claims of improved grades or learning outcomes before measuring them.

The learning journey we are building

A learner might say: “I understood the explanation, but I couldn’t solve it when the question changed.” We want the experience to support the move from understanding the idea to applying it.

  1. Return to the idea in your lesson.

    Understand it in the context of the course material and revisit the cited source when the explanation relies on it.

  2. Try it yourself.

    Apply the idea to a related question. Ask for a hint in practice mode if you need one.

  3. Make sense of your attempt.

    Review the answer and its explanation, paying attention to the idea that needed clarification.

  4. Build on what you learned.

    Try another example. Our work on mastery measurement aims to make progress and the next learning step clearer as evidence accumulates.

This is an illustration of the experience under development, not a real student outcome or a promise of a specific improvement.

From a score to a clearer picture of understanding

A score describes an attempt; it is not enough on its own to explain what a learner knows. We are developing skill-level mastery measurement informed by successive attempts, with the aim of distinguishing where another explanation is needed from where more practice would help.

This work is still being developed and connected to the student experience. We do not present a complete mastery map or personalised recommendations as publicly available today. We want progress to be grounded in evidence, with its limits clear when there are too few attempts to draw a conclusion.

Content quality is part of the experience

Lessons, questions and hints follow a preparation and approval process within the platform. Content problems can be flagged for review. We treat material quality and curriculum fit as ongoing work because they determine whether explanation and practice help the learner.

Coverage grows with content readiness and testing. We will announce available subjects, grades and features at launch. This website does not establish complete coverage of every curriculum or grade.

Students at the centre, teachers as partners in learning

For students and families, we want an experience that helps make coursework and attempts easier to understand. For teachers, we welcome conversations about difficult concepts, questions that reveal understanding and feedback that students can use.

We also welcome schools and educational institutions interested in discussing learner needs and limited pilots when ready. Scope and responsibilities are discussed before participation. We are not announcing existing partnerships or institutional results here.

Where Warda stands today

Warda is in internal beta. We are testing curriculum-connected explanation, practice, assessment and usability, and completing learning flows before opening the service to the public.

We plan to launch in two months, in December 2026. The date may change with testing results. Pricing is being prepared and will be announced before launch. Our wider ambition is to serve students in the Gulf states, recognising differences in curricula and local needs.

Warda’s value should be demonstrated by helping learners understand and apply ideas. We intend to measure the usefulness of the experience rather than rely on demonstrations or promises.

Project facts and official contact channels

Market vision

A learning ecosystem around the learner.

Warda’s vision connects individual learning, teacher expertise, institutional needs and public education through curriculum, skills, attempts and feedback.

Learners and families · B2C

Contextual explanation, room to attempt and an understandable review action.

Schools and centres · B2B

Individual practice connected to teachers’ work and institutional learning priorities.

Public education · B2G

A vision for access, local fit and evaluation, without announcing an existing government partnership.

Explore the market vision

Helping build the future of EdTech

We are an AI-native company: AI shapes the learner experience and how we research, build and improve. We aim to reach tens of thousands of students in the first six months after launch. This is a growth goal, not a current user count.

How do we use AI at Warda?

Have a question or an idea for Warda?

We welcome learners, teachers, schools and institutions interested in a clearer path to understanding.

Get in touch