Curriculum context
Students select their qualification, exam board, subjects and exam year. They can also provide the official specification or syllabus so explanations and practice stay anchored to what they are actually studying.
XYSHIMA is designed as a structured study system. It combines an AI tutor with the student's course, results from their own work, progress tracking, practice from memory and a study plan that can change.
Instead of treating every chat as an isolated conversation, XYSHIMA is designed to use a student's subjects, syllabus, question attempts, recurring mistakes, confidence, study time and review history to make the next study action more relevant.
Students select their qualification, exam board, subjects and exam year. They can also provide the official specification or syllabus so explanations and practice stay anchored to what they are actually studying.
Time spent is useful, but it is not the same as learning. XYSHIMA is designed to place more weight on attempts, errors, retesting and demonstrated understanding.
The study manager can prioritize weak concepts, earlier topics they need first, upcoming exams, overdue review and available study time rather than generating a generic timetable.
Reviewing later and retesting help show whether the student really remembers something after time has passed.
A teacher has context, judgment and responsibility that a software system does not replace. XYSHIMA is intended to make the time between lessons more structured: explaining difficult material, generating targeted practice, organizing revision and helping students notice what they do not yet understand.
Student effort stays central.
Guidance should lead back to an attempt.
Recommendations should have a reason.
The platform explains why a task is being prioritized.
Progress should be evidence-based.
Progress should reflect real performance, not decorative streaks.
XYSHIMA combines experience in technical learning with an emphasis on clear, useful product design for students and families.
Masoud is a PhD researcher in theoretical physics with experience teaching and tutoring physics and mathematics for IB, A Level and GCSE students. He also holds the IBM Data Science Professional Certificate, bringing formal training in data analysis, machine learning and applied data science to the development of XYSHIMA. His academic, teaching and data-science background informs XYSHIMA's emphasis on conceptual understanding, structured practice, finding weak points, remembering knowledge and learning from real results.
Learn more about Masoud and Xynara Analytics →Shima is a graduate in Microbiology with academic experience in business administration through MBA-level coursework, including exposure to business strategy, management and entrepreneurship. She has contributed to the development of ideas around XYSHIMA, particularly through discussions on product direction, user experience and how the platform can create practical value for students. She is also developing her focus on AI-enabled business advisory and consulting.
That is not the intended tutoring behaviour. XYSHIMA is designed around hints, guided questions, diagnosis and retrying before a final answer is revealed. No AI system can prevent every misuse, so the product design aims to make active learning the default path.
No. The platform is designed for GCSE, IGCSE/International GCSE, AS Level, A Level, International A Level, IB, AP and College Board test preparation including SAT, PSAT/NMSQT and PSAT 10, as well as other national curricula. Students can also provide the official syllabus when a curriculum is not pre-mapped.
The study manager can combine measured weak areas, earlier topics they need first, review due dates, exam timing and the student's available time. The objective is to recommend a next-best action rather than fill a calendar with generic tasks.
No. It is a study tool. Its strongest role is providing structured practice and explanations between lessons, while teachers and schools remain responsible for formal instruction, assessment and pastoral judgment.
The architecture is designed so AI provider credentials remain on the server rather than inside browser code. Production accounts also require proper authentication, authorization and per-user data isolation before public AI access is enabled.
XYSHIMA is designed around a 7-day trial rather than a permanent free plan. Core study tools are fully available during the trial, while AI, quick checks, generated quizzes, uploads and flashcards have clear limits. After the trial, XYSHIMA Pro is €11.99 per month or €119.90 per year (two months free compared with monthly billing). Pro includes a monthly AI allowance, and optional Extra AI can be purchased and remains on the account until used.
That is the standard XYSHIMA is being built around.