Focused on Hong Kong education, bringing AI into real teaching and learning.
MNT builds knowledge and assessment foundations through education engineering and develops tools for specific learning problems through MNT Lab. Both serve one Hong Kong education market, connected by careful engineering, teacher review and real validation.
Who we are
MNT is operated by Micro Neo Technology International Limited, registered and headquartered in Hong Kong. For over twenty years our work has been making systems land for organisations in media, education, finance, social platforms and retail — not producing reports, but getting things running.
Education was one of those lines, and the one that stayed. The reason is simple: Hong Kong’s education system has an explicit, public, traceable set of official standards. That is precisely where a formalised system performs best, and precisely what a general-purpose AI product handles worst.
Today MNT focuses on Hong Kong education: building subject knowledge, assessment and teaching systems, while MNT Lab explores concrete problems such as BAFS situated learning and DSE writing. Standard, the WhatsApp assistant and SLOT remain engineering applications, but do not define all of MNT's work.
A small team that understands both the assessment system and the engineering. We are not large — which is exactly why we work in one market.
Why we deliberately serve only Hong Kong.
A general-purpose product is slightly wrong in every market. A product built for one market has no substitute inside it. We chose the latter.
Marking schemes don’t generalise
The marking logic of Hong Kong’s assessment system differs from other exams. Anchoring it is done subject by subject, question by question — and once done, it only works here.
The language environment is threefold
Cantonese in the classroom, traditional characters on the page, English in the exam. A system that holds all three isn’t produced by translating an interface.
Channel habits are already settled
Hong Kong parents are on WhatsApp. That determines the whole delivery layer’s architecture; another market would mean rebuilding it.
A small market has room for depth
Hong Kong isn’t large enough to attract international vendors to this depth — which is exactly the ground we can hold.
Our values
Three of them, unchanged. They are written here so you can hold us to them.
When something is a bad idea, when you don’t need us, when a simpler path exists — we say so. It isn’t pleasant in the room, but trust compounds.
A recommendation that never becomes a working product is just an opinion. We stay until it actually runs, rather than delivering a document and leaving.
We would rather turn down a project that shouldn’t close. Keeping a reluctant client costs far more than letting one go.
Three assessment-system design principles
These are engineering goals. Consistency, source material and handling of uncertain cases require project-specific testing and acceptance.
Test repeatability for tasks that can be assessed automatically.
Verify the source, version and usage rights of relevant official curriculum and assessment material.
Keep an undetermined outcome and teacher-review path when evidence is insufficient.
Assessment capabilities must be validated separately by subject, task type and test evidence.
Work we don’t take
Stating the boundary saves each side a month.
Projects outside the Hong Kong assessment system
We don’t work on other examination systems. Not because we can’t, but because we can’t reach the same depth.
Buying a question bank or content licence
If ready-made questions are what you want, cheaper options exist. Our value is in the engineering, not the inventory.
Institutions wanting fully automatic marking
If the goal is to remove tutor review entirely, our system doesn’t support it by design and the engagement would be painful.
A one-off AI transformation report
We don’t produce strategy reports. Without something that runs, the report is just an opinion.
First work out whether we can help. Then talk solutions.
Start with a concrete need and identify whether it calls for education engineering, a teaching tool or a new problem worth testing through Lab.