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Three businesses. One decision engine.

7 apps released · 2 AI connectors in operation · 1 hotel revenue decision engine in live service. The same engine serves the moment of choosing, buying and learning. Below is public material that separates what exists now from what is proven next.

01 · Investment thesis

Not for lack of information. Things stop for lack of a decision.

Choosing a snack or setting a room rate — it is the same. AP puts data, expert criteria, procedure and software at that point and turns it into a repeatable decision system. A decision structure built once is reused in the next product.

  • Ask
  • Check against existing records
  • Answer with evidence
  • A person decides
  • Record the outcome
02 · Market

The year 20 million arrive. Each one spends $1,000.

2.09 million visitors in July 2026, +20.8% year on year. Annual target 20 million. Spend per visitor $1,008. At 20 million, tourism receipts of roughly $20 billion. K-beauty, K-food and K-content pull that spending in.

Inbound

  1. 2025: 18.7 million — an all-time high
  2. 2026 target 20 million · 2030 target 30 million
  3. China · Japan · Taiwan · United States · Hong Kong, in that order

Korea Tourism Organization · Ministry of Culture, Sports and Tourism

Where AP goes in

  1. Before the trip — Hangeul · concerts · planning (Cubs · K-Concert Trip · Travel)
  2. During the trip — stores · scanning · choosing (SELECT · Safe · K-Scan)
  3. After returning — repurchase (LIA · K-Commerce · K-Craft)
03 · Three businesses and revenue

Same engine, three revenue structures.

Decision intelligence: B2B subscriptions and connectors. Commerce: direct sales, commissions and franchising. Play & Learn: in-app purchases and educational quiz packs. No advertising and no sale of user data.

Choices with evidence

B2B SaaS · connectors

AP Revenue hotel subscriptions. Safelist and LightList connectors are free to build a user base, leading on to the safe market and Hospital Report Pro.

Commerce

Direct sales · commissions · franchising

Direct sales through Lia Select and Shopee, partner commissions from Agoda · Klook · Coupang, and AP SELECT franchise fees, royalties and system fees.

Play & Learn

IAP · education B2B

Hangeul Cubs lesson packs, RGRG quiz packs for schools, academies and companies, LAST WAVE skins and passes (no pay-to-win).

Common

Data

Who asked what, chose what and bought what, linked under one ID. The basis for the next product and curation.

04 · Working today

Built and shipped.

Evidence of execution, not of large-scale traction. Only verified figures are published; detailed evidence is presented in investor review.

Working Proof — independently built · in operationDemo data — FOUNDER-PROVIDED · synthetic · public only

Apps · connectors

  1. 7 apps on the App Store — Safelist · Hangeul Cubs · K-Concert Trip · IRON GRADE · The Other Hours · Dawn Grace · K-Scan
  2. 2 Claude connectors in operation — Safelist (250,000 products) · LightList (317,000 records)

AP Revenue

  1. revenue.apholdings.kr in production
  2. Anomaly detection · prioritization · manager decision · outcome on record
  3. Synthetic data · 11 tests passing · before external pilot

LIA

  1. Instagram and TikTok in operation
  2. Overseas viewers responded before domestic ones
  3. 3 K-beauty reviews · 9 Lia Select items

Games

  1. RGRG six-player live match build · preparing for release
  2. LAST WAVE 5 heroes · 6 enemies · 3 Seoul zones
  3. Hangeul Cubs 42 lessons · EN · VI · FR
05 · Why AP

Four things in one company.

One decision engine reused across three businesses, channels already in hand, trust built by taking nothing from users, and a founder who knows the field.

Engine reuse

A decision structure built once

The check · evidence · human-decision structure built for Safe is used as is by Light, Revenue and Travel. Marginal cost falls with every product.

Channels in hand

LIA · blog · apps

Reach without ad spend. An AI influencer who reaches overseas viewers first, and user touchpoints across seven apps.

Trust

0 · 0 · 0

No accounts, ads or data collection. It never says “safe” — it says what was found and what was not.

The field

Founder, fifteen years

Commercial, global sales, tourism and data at a hotel and resort group. The hotel revenue engine and the inbound business came from that experience.

06 · The next 12 months

A threshold at every stage.

From 02 onward is plan. Please read it apart from what is done.

01 · Now

What is built

7 apps · 2 connectors · Revenue in live service · LIA's channel · company structure and website

02 · Next

External validation

1 Revenue pilot · Safe user test · 1 SELECT pop-up · Shopee listing · 1–3 craft transactions

03 · After that

Repeatability

Decision → action → outcome linked under one ID · per-client policy calibration · first franchise

04 · Expansion

Expansion with evidence

Vietnam first, then Japan and Taiwan. Franchising only after company-run stores prove it. Only validated titles grow

07 · Global

Built in Korea. Designed for the world.

The first overseas market is Vietnam — validating LIA viewer response and commerce demand first. Japan and Taiwan for product fit, France for craft trade research. Adding a country means adding a language and market pack, not rebuilding the product.

Vietnam — LIA · K-Scan · ShopeeJapan · Taiwan — 1st and 3rd in arrivals, product fitFrance — first overseas response to Hangeul Cubs, craft researchEnglish-speaking — Korea-curious
08 · Founder

Fifteen years in the field. An independent company.

Commercial operations and global sales, tourism and international business, and data analysis at a hotel and resort group. The experience is used; the assets are not — code, accounts, domains, documents and product IP are entirely independent. The employer's data, customer information and operational information do not belong to AP.

Investor demos use FOUNDER-PROVIDED, synthetic, public or permitted data only.

Commercial OperationsGlobal SalesTourism & International BusinessData AnalysisProduct BuildingDecision Workflow Design
09 · Investor materials

Opened in three tiers.

PUBLIC — this page. INVESTOR SHARE — investor deck · investment memo · verified traction appendix. NDA / DATA ROOM — financial model · cap table · legal · contracts · detailed IP · non-public metrics.

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