Built for the UK curriculum, not adapted to it
Many educational tools are designed for one system and translated into others. We explain why ILM AI is built for UK education from the ground up, and why mark schemes and exam boards matter to how our AI reasons.
Education does not travel neatly across borders. The way a subject is taught, assessed, and marked differs from country to country, and a tool built for one system rarely fits another cleanly. Much educational software is designed elsewhere and adapted for the UK afterwards. We took the opposite path.
ILM AI is built for UK education from the outset. That means our tools understand the structure of GCSE and A-level qualifications, the differences between exam boards such as AQA, Edexcel, OCR and WJEC, and the mark schemes that determine how work is actually assessed.
This distinction is not cosmetic. In many subjects, marks are awarded for method as much as for the final answer. A student can lose marks with a correct answer poorly justified, or earn them with an incorrect answer well reasoned. A tool that only checks whether the final answer is right misses most of what a UK examiner is looking for.
Because our tools reason in terms of mark schemes, they can give feedback that reflects how a student's work would genuinely be assessed. They can identify the first point at which a method goes wrong, rather than simply marking the outcome. That is far more useful to a student preparing for a UK examination.
Building for a specific system has trade-offs. It takes more effort than translating a general tool, and it means our attention is focused rather than universal. We think that focus is the point. A tool that deeply understands one system serves its students better than one that shallowly understands many.
As curricula and specifications evolve, we update our tools to match. The commitment is to stay aligned with the education students are actually sitting, not an approximation of it.
