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nonrium.AI for deeper essay learning

Nonrium · Company and investment introduction

Deeper education. Repeatable through AI.

The craft of writing. Experience in the classroom. The ability to build software. Starting with WRIDIT, we are developing a new standard for online essay learning.

Current investment focusWRIDIT
Learning that reaches the next draft
  1. 1Read and understand
  2. 2Build an argument
  3. 3Receive feedback
  4. 4Write again
EducationEssay academy experience
ContentAuthor and instructor expertise
TechnologyLeysys product experience

Investment focus: WRIDIT product development and validation of online classes

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nonrium.AI for deeper essay learning

Investment thesis

Extend expert judgment beyond a single lesson.

Our investment thesis: bring classroom standards into a product, then connect feedback to meaningful revision in the next draft.

Education expertise

Author · instructors · academy experience

An AI product

Criteria · feedback · learning records

Repeated practice

Revision · guidance · progress review

A focused entry point

Korean university entrance essays, with specific prompts and evaluation contexts

What the product connects

Student answers, explained feedback and instructor judgment

What the business must prove

Paid demand, learning outcomes and class economics including instructor time and AI costs

Designed to combine the depth of instruction with online access.

A product and business thesis, not a claim of proven outcomes or profitability.

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nonrium.AI for deeper essay learning

WRIDIT

Connect the answer, the feedback and the next draft.

WRIDIT is developing AI essay learning that connects reading, argument and revision in the context of university-specific essay requirements.

Illustrative learning experience

Can technology think on our behalf?

Technology helps us find answers quickly. But where does our own capacity to think develop?

Ask for evidence before an answer.

Separate the convenience of technology from independent judgment. What evidence would support your argument?

A direction for revision

Thinking develops as we question the evidence and explain an answer in our own words.

  1. 1

    Understand

    Connect the prompt and the argument

  2. 2

    Interpret feedback

    AI feedback with instructor review

  3. 3

    Revise

    Compare the reasoning before and after

The answer and feedback above are illustrative, not a student result or a performance benchmark.

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nonrium.AI for deeper essay learning

Nonrium AI

Nonrium AI. Technology shaped by teaching.

We are designing a learning system that connects prompts, evaluation criteria and instructor review, extending beyond a standalone AI response.

From assessment criteria to a better draft

Research & development design
Rubric and source material

University prompts · source texts · assessment criteria

Student response

  1. Response analysis

    Connect claims, evidence and structure to the rubric

    Where is the evidence?

  2. Evidence-linked feedback

    Locate the relevant passage and explain the assessment

    Why this assessment?

  3. Instructor review

    Check interpretation and add teaching context

    What needs guidance?

  4. Rewrite

    Compare revisions and shape the next learning step

    What changed?
The revised response starts the next learning loop

Context-aware evaluation

Connect university-specific prompts and criteria to the feedback context

Quality reviewed by educators

Review clarity, consistency and errors against reference answers and instructor assessments

A link to the next attempt

Connect feedback to revision and examine learning before and after

No model accuracy or superiority benchmark is claimed. Student privacy, content rights and evaluation quality remain validation priorities.

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nonrium.AI for deeper essay learning

Market and change

A large education market. A precise problem to enter it.

27.5tn KRW

Total K-12 private education spending, 2025

Down 5.7% year on year [1]

604k KRW

Monthly spending per participating student

Up 2.0% year on year [1]

Essay admissions concentrate in the capital area

Essay-based admission places · 2027 & 2028 admissions · published 30 Apr 2026

places
Essay-based admission placesNationwide: 12,711 to 12,727 places. Capital area: 11,030 to 11,443. Outside the capital area: 1,681 to 1,284.Nationwide +16202712,711202812,72707,00014,000Capital area +413202711,030202811,44307,00014,000

Nationwide +16; capital area +413. Both comparisons use the same 0–14,000-place axis.

Source: KCUE · 2028 University Admissions Plans, pp. 3–4

The 2028 admissions environment

An integrated CSAT and five-band school grades take effect. Essay admissions represent 3.6% of all planned places; school records and CSAT remain the main routes. [2, 3]

Total private education spending provides context. It is neither the essay-only market nor WRIDIT’s TAM.

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nonrium.AI for deeper essay learning

Online education

Validate online classes. Build a repeatable teaching system.

Park Young’s academy experience is the starting point for a class model that connects the roles of instructors, AI and students.

  1. 1

    Design the lesson

    Prompt and evaluation criteria

  2. 2

    Write the answer

    The student’s reasoning

  3. 3

    Review and guide

    Defined AI and instructor roles

  4. 4

    Revise

    Before-and-after learning records

Question to validateEvidence to examine

Does learning improve?

Comparable before-and-after answers, revision and completion rates

Do students choose to return?

Paid conversion, renewal, satisfaction and reasons for leaving

Can operations repeat?

Instructor time, AI costs and economics at class level

Academy identity, admissions results, student counts and revenue await evidence and reporting definitions. These are validation plans, not reported results.

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nonrium.AI for deeper essay learning

Founding team

Built by people who know software, language and teaching.

Co-founder · Technology & business

Kyoungsup Choi

Connects enterprise software planning and development experience to WRIDIT’s learning experience and service operations.

  • Previously at BCG and Strategy & Planning at SK hynix
  • Studied at UC Berkeley Haas School of Business
  • ERP, CRM, proptech and legal tech product planning since 2018
About Leysys
Contribution to NonriumTurn education into a product and operating system

Co-founder · Education & content

Park Young

Connects literary practice and essay academy experience to curriculum and the educational standards behind feedback.

  • Creative Writing graduate, Korea University
  • Literary debut through the Kyungin Ilbo contest in 2015
  • Third Hwangsanbeol Young Literature Award, 2017
  • 낙원은 창백한 손으로
  • 이름 없는 사람들
  • 불온한 숨
  • 위안의 서
Author profile
Contribution to NonriumShape the educational standards and content
GeolEssay education · 걸쌤

Business Administration, Yonsei University

YeEssay education · 예쌤

Business Administration, Yonsei University

EunAuditor

Seoul National University · Patent attorney

Team education and roles include company-provided information. Leysys revenue and customers are not Nonrium traction. [4, 5]

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nonrium.AI for deeper essay learning

Business expansion

Start with WRIDIT. Expand what the evidence supports.

1

Current investment focus

WRIDIT + online classes

Online learning connecting AI feedback and instructor guidance

  • University-specific criteria
  • Answer, feedback and revision records
  • Instructor review and online classes
Revenue models under review

Class fees · feedback usage

Condition for moving forwardLearning outcomes and paid demand
2

Subsequent expansion

Academy partner network

Curriculum, content and class operating tools for partners

  • Curriculum and teaching content
  • Shared feedback standards
  • Partner class operating tools
Revenue models under review

Institutional fees · content supply

Condition for moving forwardPartner adoption and operating economics
3

Longer-term option

Essay education franchise

A reproducible teaching and operating model

  • Teaching quality standards
  • Instructor training and playbooks
  • Reproducible institutional operations
Revenue models under review

Franchise · operating support

Condition for moving forwardTeaching quality and reproducible operations

How the direct market will be validated

Essay learnersPaid adoptionAnnual realized spend

Stages and revenue models are plans, not claims or forecasts of current revenue, contracts or franchises.

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nonrium.AI for deeper essay learning

Capital and execution

The next investment question: what will the capital prove?

Capital priorityExecution scopeEvidence to review
Product and evaluationUniversity-specific feedback and instructor reviewError analysis · consistency · revision workflow
Online classesLearning and operations in initial paid cohortsLearning change · renewal · class-level costs
Expansion readinessContent rights and teaching quality standardsOperating playbooks · partner applicability

Investment and strategic partnerships

Build the next standard for AI and education.

Raise size, valuation and allocation are to be established in individual investment discussions.

Diligence priorities: admissions policy and seasonality / AI quality and review costs / content rights and privacy / teaching quality at scale

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nonrium.AI for deeper essay learning

Sources and definitions

Evidence you can inspect. Plans you can distinguish.

  1. [1]
    Ministry of Data and Statistics · 2025 Private Education Expenditures Survey (12 Mar 2026)https://www.mods.go.kr/board.es?act=view&bid=245&list_no=443953&mid=a10301070100
  2. [2]
    Ministry of Education / KCUE · 2028 University Admissions Plans (30 Apr 2026)https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=294&boardSeq=106040&lev=0&m=020402
  3. [3]
    Ministry of Education · Preparing for 2028 Admissions (15 Apr 2025)https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=294&boardSeq=103113&lev=0&m=020402
  4. [4]
    Literature Translation Institute of Korea · Park Younghttps://klwave.or.kr/klw/books/409178/featuredView.do
  5. [5]
    Leysys · Company and productshttps://www.leysys.com/

Official statistics

Year, population and admission-place scope are stated separately.

Team and operating experience

Based on public biographies and company-provided information.

Product and business direction

Development and validation plans, not established operating results.

The 2027 values in the admissions chart are derived from the official 2028 totals and stated year-on-year changes. National essay and Capital Area early essay admissions have different scopes.

As of 5 Nov 2026 · Company introduction for investment review

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