Scaled teaching and personalised learning.

Anyone can host a course. Upload your material and ScaLearn drafts the syllabus, assessments with rubrics, and study materials, each traced back to its source.

Of marking in a single cycle for one lecturer, on cohorts of 80 to 500, against fixed deadlines. Formative feedback is the first thing to go.

Different markers write in different language. Students compare feedback, notice, and appeal.

Individual contribution inside a team is hard to separate fairly, so a group mark is hard to defend when a student queries it.

In one educator’s course, fewer than one in five students log into the VLE. The students who drift are spotted when recovery is hardest.

Stuck at midnight, help arrives Monday, the deadline was Friday. The same question reaches the lecturer forty times in forty emails.

Long readings across four modules and almost no exam-prep tools from the university. Students turn to generic AI and have to write the prompts themselves.

Pick your module and week. A short diagnostic, questions on the weak spots, instant right-or-wrong feedback, then a retest.

Text, voice and avatar. Every answer comes from the course’s own materials and shows the source.

Heavy readings turned into formats that fit how you learn, all from your own course materials.

Upload your material and ScaLearn drafts the syllabus: weeks, topics and lesson plans, ready for you to edit.

Set assessments on your material and build each rubric by talking it through, rather than filling in a grid.

Challenges, quizzes and study formats built from your material and checked against it, shared with your learners by link.

Mark student submissions against your rubric, criterion by criterion. The marker awards every mark.

Individual contribution recorded while the work is in progress, so a group mark can be defended.

See which topics a cohort keeps getting wrong, so the next seminar starts where learners need it.

MSc Innovation Management & Entrepreneurship, University of Manchester. Founded ScaLearn AI out of his master’s dissertation and builds the product.

MSc Innovation Management & Entrepreneurship, University of Manchester. Leads commercial development, operations and customer discovery with educators.

Director of Postgraduate Taught Programmes at Alliance Manchester Business School, and Senior Lecturer in Enterprise and Entrepreneurship at the Masood Entrepreneurship Centre.

An applied master’s dissertation at Alliance Manchester Business School asked whether AI could make personalised learning viable at scale. Dr Adam Frost supervised it.

A follow-up paper with Dr Frost, presented at HEAd’25 in Valencia, found lecturers saw the potential and named the risks. Those findings set how ScaLearn works.

Accepted into the Masood Entrepreneurship Centre Venture Builder in March 2026, which gave the research a team, a runway and a room full of people to test it with.

Masood Entrepreneurship Centre and its Venture Builder, at The University of Manchester, where the research began and the company was built.

Whether you study or have a course to host, we will show you what ScaLearn does with your material.