Built at VinUniversity. Grounded in the Science of Reading. Designed to raise global citizens — responsibly, not just efficiently.
Conclusion 91 (2024) set the course: English a second language in every school — compulsory from Grade 1 by 2030, nationwide by 2035. The hardest, most decisive stage is the youngest: teaching children to read.
A nation can legislate English. It cannot hire fluent reading teachers fast enough to deliver it.
Vietnam needs 22,000 more English teachers by 2030, with ~120,000 teaching posts already unfilled. You can't hire your way to a nation that reads English — you have to scale the method.
The Science of Reading is the settled, evidence-based consensus on how children learn to read — five pillars confirmed across decades of cognitive science. Since 2013, 42 states and DC have written it into law. Our K–7 English line is built to that exact sequence.
Systematic decoding — the first online program built on UFLI (University of Florida) standards, 128 cumulative lessons.
The bridge from decoding to fluent reading — vocabulary, accuracy, and automaticity.
The Grade 4–7 English program — comprehension, background knowledge, and verbal reasoning.
Our product line is the science's progression — decode → fluency → comprehend. Vietnam adopts a legislated global standard, localised — not an experiment.
The difference between AI that helps a child and AI that merely drills them isn't the model. It's the choices behind it.
Our engine is grounded: it retrieves real curriculum before it answers, so it doesn't hallucinate. It reads a child's anxiety and attention, not just their score. And it measures real learning, not vibes.
Led by Simon Park — a pioneer of AI in education. We treat AI as a patient teacher, not a vending machine: deployed with care, transparency, and the child at the centre.
This isn't a foreign product sold into Vietnam. A Vietnamese university builds the engine; we supply the English it teaches. Neither half teaches a nation alone — together they do.
The AI engine is built at VinUniversity — Vietnam's world-class research university (QS 5-star). Sovereign, homegrown deep tech.
Science-of-Reading curriculum, UFLI-based phonics, academy-audited question banks, and a proven per-language localisation playbook.
The scarce half is the content — anyone can attempt an AI tutor; few can supply English that actually teaches reading, localised for Vietnamese learners.
One engine carries a learner the whole way — each stage powered by a product already running today.
Real academies run on our software every day. Content is audited and already shipping internationally. The AI engine is operational.
Ivy Academy, K Learning, and Reading Town Vancouver run daily on our platform — tri-lingual EN / 한국어 / 中文.
Every prep question triple-audited (Gemini Vision + Claude + human reviewer) against the College Board Bluebook style.
한 KOREAN ships per-language editions to institutes today — the same machinery localises English reading for Vietnamese learners.
Classroom expertise, deep technical execution, and the discipline to run a real business while building software.
Ph.D., P.Eng. · UBC PhD. 21 years at University of Calgary; VinUniversity; Direct-C. Leads the AI engine and the ethics-first approach to putting AI in the classroom.
Yonsei BA · UBC PhD. CEO of Readingtown Canada and Ivy Academy — the networks that make our products real businesses. Lead coach behind the EPT rubric.
Yonsei BBA · SFU MA Economics. Ex-PwC Seoul; built K Learning. Five published books. Owns the product — every workflow, every program, end to end.
A public–private pilot that augments teachers rather than replacing them, measures real reading gains, and keeps data in-country. We've built BC-PIPA-compliant systems before — Vietnamese data residency is a known path, not a new one.