ClassCube

Building Trustworthy
Learning Infrastructure.

We are an edtech company that builds its own question bank and search, knowledge map, written-response grading, and LMS.
Connect the GPT or Claude you already use to verify questions and grade answers — teachers review and confirm the results.

Since 2013 EdTech 7 patents GPT · Claude MCP Integration
Mission

Beyond AI Generation —
A Complete Learning System

We don't just generate content — we verify it, structure it, and connect it to the teacher's judgment. AI is designed not as a tool that produces answers, but as a tool that helps teachers and students take their next step.

Verified Questions & Structured Knowledge
We check for errors across answers, explanations, formulas, choices, and context to maintain quality.
AI that Teachers Confirm
AI results stay as drafts, and only what the teacher reviews and confirms takes effect.
Education without language barriers
We offer questions and grading in multiple languages, with the same quality in every country.
Technology

Four technologies behind our learning infrastructure

We build and operate our own question bank and search, knowledge map, written-response grading, and LMS.

Why ClassCube

Accuracy, Consistency,
Verifiability

In educational settings, trustworthy results matter more than fast generation. We build systems that meet that standard.

Knowledge Map + Question Bank + Learning Data — not solved by LLM alone
AI is used as a verifier and assistant, not a generation tool
Manages both question quality and learning flow simultaneously
Implemented as an integrated system, not feature units
IP Portfolio

3 Korea patents, 4 US patents

A domestic and international patent portfolio for our core technologies in question banking, knowledge maps, and learning analytics.

Math Similar-Question Search
KR Registered

Method and implementation for searching documents containing formulas

US Registered

Method and implementation for searching documents containing formulas

Knowledge-Map Weakness Analysis
KR Registered

Knowledge-map node weighting algorithm for learning analytics

US Registered

Knowledge-map node weighting algorithm for learning analytics

Learning Recommendation & Inference Engine
KR Registered

Learning analysis and recommendation method using four knowledge maps

US Registered

Learning analysis and recommendation method using four knowledge maps

US Registered

Deletion and creation of links between knowledge-map nodes for learning recommendation

History

Math education technology built since 2013

2013
ClassCube founded. Math education technology development begins.
2014–16
Mobile learning service and wrong-answer notebook service developed.
2017–18
R&D of similar math problem search, learning analytics, and inference/prediction engines.
2019–22
Expanded question banking, teacher platform, open question API, and LMS development.
2024
Built and supplied HawaiiClass, HawaiiMath, and PlanMath learning platforms.
2025
Advanced AI verification agents — achieved hallucination-free math question data. Integrated knowledge map-based coaching guides.
2026
Launched kmath.app with KMath Polyx, the AI app for grading written responses, and a math learning service for students.

Partnership & Collaboration Inquiry

ClassCube welcomes service integration and technology partnerships with education platforms, publishers, academies and LMS providers, and global partners.

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