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.
Not abstract global figures — values built bottom-up from official Korean statistics.
Global AI-in-F&B market — projected to grow 39.1% annually through 2030
Korean food companies' annual development & validation spend (production value × R&D ratio)
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.
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.
Social & menu trend analytics
No Korean food data; no recipe or validation features
Molecular-level recipe AI
Enterprise-focused; no Korean manufacturing network
AI synthetic consumer testing
Not food-specific; no recipe or manufacturing features
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.
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.
Launch three AI-developed products and generate first recurring revenue through proven channels.
Build a base of gifting B2C and facility pilots — feeding sales data back into the AI.
Keep sharpening the AI recipe engine with customer feedback and real sales data.
Open factory matching, and scale the proven engine to other food categories and overseas.