We combine knowledge maps, question banks, and learning analytics to design and implement math education systems that actually work in the AI era.
We don't just generate content — we verify, structure, and connect it to learning states. AI is designed not as a tool that produces answers, but as an engine that connects students to their next learning step.
AI verification creates hallucination-free math question data. Automatically checks answer, explanation, formula, and choice errors to maintain large-scale question bank quality.
Diagnoses learning status through knowledge map analysis and delivers coaching guides to AI to connect personalized next learning steps.
The core asset of math learning infrastructure. A content management system covering storage, classification, search, combination, exam generation, and typesetting.
An AI agent that translates verified questions into multiple languages and creates twin questions on the same concept, rapidly expanding the global question bank.
In educational settings, trustworthy results matter more than fast generation. We build systems that meet that standard.
A domestic and international patent portfolio for our core technologies in question banking, knowledge maps, and learning analytics.
Method and implementation for searching documents containing formulas
Method and implementation for searching documents containing formulas
Knowledge-map node weighting algorithm for learning analytics
Knowledge-map node weighting algorithm for learning analytics
Learning analysis and recommendation method using four knowledge maps
Learning analysis and recommendation method using four knowledge maps
Deletion and creation of links between knowledge-map nodes for learning recommendation
ClassCube welcomes service integration and technology partnerships with education platforms, publishers, academies and LMS providers, and global partners.
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