Investor Relations

Start in the hardest market, expand to every food

We prove the AI by selling the products it develops, and sell the same AI as a subscription.
Sales data retraining the AI is our strongest competitive edge.

Market

Market size, built from the bottom up

Not abstract global figures — values built bottom-up from official Korean statistics.

≈ $11B

Global AI-in-F&B market — projected to grow 39.1% annually through 2030

₩500–700B

Korean food companies' annual development & validation spend (production value × R&D ratio)

₩50–80B

First target — development budgets of 6,000–9,000 small Korean brands that outsource R&D

Why start with seniors? Korea became a super-aged society in late 2024 — over 20% of the population, 10 million people, are 65+. The senior food market is projected to reach ₩5 trillion by 2030. It's also the most demanding market, with national texture testing — what works here works everywhere else, only easier.

Competition

No one else connects the full cycle

There are companies good at trend analytics, recipe AI or synthetic consumer testing — individually.
No team connects all five stages and proves itself by selling its own products.

Company A
Israel

Social & menu trend analytics

No Korean food data; no recipe or validation features

Company B
Chile

Molecular-level recipe AI

Enterprise-focused; no Korean manufacturing network

Company C
Korea

AI synthetic consumer testing

Not food-specific; no recipe or manufacturing features

LayerLab AX (us)
Korea

End-to-end, from trend discovery to validation — proven by selling our own products. The loop of sales data recalibrating the AI is structurally hard to copy.

Growth

The road ahead

Production Infrastructure

Our own HACCP-standard plant completes equipment installation in September 2026. In-house production gives us direct control over prototype speed and quality — dramatically shortening the loop from AI recipe to physical validation.

01

First launch

Launch three AI-developed products and generate first recurring revenue through proven channels.

02

Recurring revenue

Build a base of gifting B2C and facility pilots — feeding sales data back into the AI.

03

Engine refinement

Keep sharpening the AI recipe engine with customer feedback and real sales data.

04

Expansion

Open factory matching, and scale the proven engine to other food categories and overseas.

Investor Relations

We'll send you our IR materials

Leave an investment or partnership inquiry and we'll email our IR deck and detailed introduction.
Choose "Investment · IR" as your inquiry type.

LayerLabAX

We develop food with AI — turning new product development that used to take months and tens of thousands of dollars into a matter of days.

Company
  • LayerLab Inc.
  • CEO: Hankook Lee
  • Business Reg. No.: 884-88-03698
  • E-mail: contact@layerlab.kr
  • Tel: +82-70-8080-1989
  • A-dong 2–3F, Baemin Startup Square,
    40 Geumto-ro 80beon-gil, Sujeong-gu,
    Seongnam-si, Gyeonggi-do, Korea
© LAYERLAB. All rights reserved.Terms of ServicePrivacy Policy