Building AI infrastructure and tools that work for Hong Kong education.
From subject knowledge engineering and assessment systems to tools designed around real learning problems, MNT brings AI into the practical settings of Hong Kong education. We build lasting foundations for education organisations and develop and test new learning approaches through MNT Lab.
The education problems we work on
The challenge is not only marking efficiency. Knowledge, assessment and learning processes must be genuinely usable.
Making teaching knowledge usable
Curricula, questions and teacher expertise need to become reviewable knowledge assets that can be maintained.
Assessment that supports judgement
Feedback needs a clear basis, with room for teachers to check and correct it.
Understanding learning difficulties
Beyond the final answer, learning and writing processes can offer observable clues.
Protecting teacher time
Structure work suitable for systems while keeping educational judgement with teachers.
From knowledge foundations to lasting teaching systems.
Large education projects must consider curricula, assessment rules, permissions and organisational workflows together. MNT Standard, the WhatsApp assistant and SLOT apply these capabilities at different points in teaching.
Subject knowledge engineering
Structure subject content, questions and teacher expertise into reviewable knowledge.
Teaching support and interaction
Explore support for practice, feedback and teacher work in everyday communication.
Learning execution
Connect diagnosis and teaching plans to tasks students can carry out.
MNT Lab: starting with real problems
Lab is our window into education product development and validation. Each project shows its actual status; research goals are not presented as completed features.
BAFS situated learning
Follow Chan Ka-long and a coffee-roasting business to connect commercial events, accounting concepts and learning material.
View project →Demonstrable prototypeDSE writing process diagnosis
Keep pen-and-paper mocks. The dot-pen prototype captures and replays the writing process, recognises Traditional Chinese handwriting and supports teacher review.
View project →Reusable education engineering capabilities
Methods and technical capabilities can be shared; client-owned materials, papers and student data are not shared automatically. Some capabilities remain under development.
Knowledge and curriculum mapping
Connect teaching material to subject requirements in a traceable way.
Structured education content
Organise events, questions, answers and learning records for later analysis.
Process and assisted analysis
Record observable behaviour where appropriate and explore AI-assisted feedback.
Teacher review
Important explanations, recognition and assessment still need professional judgement.
Work with us on real Hong Kong education problems.
Schools and organisations can discuss engineering or pilots; teachers, students and parents can share needs and feedback on existing projects.