The AI that develops new food products
One AI connects all five stages of new product development, from trend discovery to factory matching.
Months of work becomes days.
Chained bottlenecks — one blocks the next
These three problems are connected. Trend discovery, recipes and factory matching live in separate silos, so single-point tools can't solve them.
Development is too slow
A single new product takes 18–24 months on average. By the time it ships, the trend is gone — while the senior snack market grew 39.3% in just one year.
Development is too expensive
Even Korea's top-10 food companies spend only 0.66% of revenue on R&D. Outsourced market research and recipe work costs thousands of dollars per project — new products are simply out of reach for small brands.
You can't find a factory
Among 30,000+ registered food manufacturers, there is no tool to find the one matching your ingredients, certifications and order size. The search alone takes 1–6 months.
We ran a dessert brand ourselves and hit all three bottlenecks. So instead of another point solution, we built an AI that connects the entire process.
Five stages, one connected AI
Trend discovery → product concept → AI recipe design → virtual consumer testing → factory matching.
Each stage feeds the next automatically — ready to use today.
There is no senior-only logic hard-coded anywhere. Swap the ingredient and regulation databases and the same engine works for snacks, beverages, ready meals — any category. When a buyer asks for vegan or gluten-free, it redesigns the recipe on the spot.
We don’t stop at the formula. We connect you to the factory.
LayerLab AX is the AI brain that decides what to make.
We link AI-validated formulations to a global network of manufacturers — turning an idea into a real product on the shelf.
- 01
Formula → Manufacturing spec
The finalized formulation is auto-translated into ingredients, MOQ, certifications, and cost requirements.
- 02
Global sourcing match
We match qualified manufacturers from our sourcing partner network, ranked by fit.
- 03
Cross-border production
Beyond Korea — we bridge overseas brands to produce K-food locally.
From idea to shelf — across borders.
Stage 05 matching is rolling out in phases. Sign up now for priority access.
See it on screen
Three key screens show how LayerLab AX actually works.
The examples below use demo data.
The real moat isn't AI — it's data that stacks up daily
Anyone can use an AI model. What's hard to copy is a system that automatically accumulates real Korean senior & food market data every day. 25 automated jobs run every dawn — collection, cleaning and a morning briefing, no humans required.
As measured on the platform, July 18, 2026
We don't make numbers up
"Every data point carries a source grade. When collection fails, we leave the field empty instead of faking it."
Data honesty is our first engineering principle. Every number can be traced back to its source — so you can drop a LayerLab AX report straight into your own proposals and approvals.
We don't just claim accuracy — we publish a report card. Our virtual consumers are benchmarked against official Korean census and national health survey figures.
Based on the 1,300-persona senior panel (v4). Statistical weighting (IPF) converges the panel to real population composition — graded for directional use, never for absolute demand forecasts.
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Three data sources rising simultaneously — classified as a valid trend. A full scan of KFDA product registrations found no product in this combination yet: an open position ready to claim. Recommended entry strategy…
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