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OUR MISSION

Making AI real for every business

Korean fabs make the world's memory, but they still plan it in Excel. Our mission starts there: put AI-powered production planning into the fab, then build — step by step — the platform that connects the value chain from shop floor to customer door.

OUR MISSION

Empower businesses with AI-driven solutions across the complete value chain — from production planning to customer delight — through integrated products and world-class professional services.

OUR VISION

To become the leader in AI-powered value chain intelligence, transforming how businesses make, move, sell, and delight — from shop floor to customer door.

THE CHALLENGE

The gap we're closing

The most advanced fabs are still planned in spreadsheets

3–5 days per planning cycle; 55–65 % forecast accuracy

AI-native planning: forecast, schedule, simulate in hours (target)

Legacy APS is generic and bolted-on

No incumbent models yield inside the schedule

Yield-aware, constraint-based, scenario-driven engine

Implementation takes a year or more

Incumbents need 12–18 months of SI customization

Target 8–12 weeks to a running pilot on one line

Production data cannot leave the fab

Cloud-first vendors stall in the security review

On-prem / private cloud inside the fab network
STRATEGY

Our strategic principles

Bootstrap first

Self-funded prototypes, Korean public programs before equity, hiring gated on signed subscriptions

Land with one Korean fab

Prove the model in one memory fab, expand to the Yongin–Pyeongtaek cluster, then APAC from Korea

Data stays in the fab

On-premise or private cloud first; read-only connectors; AI recommends, people decide

One product at a time

aPlanner, then aMonitor, then the platform — every step reuses the data and AI of the step before

Pillar-based expansion

MAKE first, then DELIGHT, MOVE and SELL — depth before breadth, from shop floor to customer door

ROADMAP

Six steps — from aPlanner to the full chain

Long-term direction; today: aPlanner. Planning leads to monitoring; planning plus monitoring on one AI platform becomes a Smart Factory; the same production data then powers customer experience, logistics and commerce — a direct-to-customer model where MAKE > MOVE > SELL > DELIGHT run on one platform.

MVP · today
Step 1 · 2026–27

aPlanner

Manufacturing Planning — the starting point (Korea)

Next
Step 2 · 2027–28

aMonitor

Manufacturing Monitoring — OEE, equipment health, predictive alerts

Roadmap
Step 3 · 2028–29

Amoza AI Platform

AI Foundation serving every pillar: aCore · aFlow · aConnect · aExecutor · aData

Roadmap
Step 4 · 2029–31

Smart Factory (MAKE)

Complete MAKE suite: aOps · aQuality · aYield · aMake — planning + monitoring + execution

Roadmap
Step 5 · 2031–33

Smart CX (DELIGHT)

aCare · aInsight · aLoyalty · aVoice — customer intelligence fed by production data

Roadmap
Step 6 · 2033+

Complete chain

MOVE (aFulfill, aStock, aShip…) and SELL (aShop, aPrice…) close the loop: MAKE > MOVE > SELL > DELIGHT

FROM SHOP FLOOR TO CUSTOMER DOOR
MAKE > MOVE > SELL > DELIGHT

Smart Factory → Smart Supply Chain → Smart Commerce → Smart CX. Indicative timing only — we are building step one, in Korea.

MAKING A DIFFERENCE

Impact we aim to create

Fabs & suppliers

Target: planning cycles from days to hours, +20–30 pts forecast accuracy, plans that survive yield swings

Planners

From gathering data in spreadsheets to strategic decisions — with every recommendation explainable

Korea

A Korean AI planning company in the semiconductor cluster — Korean hires, Korean support, KRW contracts

Industry

Raise the standard for AI adoption across the complete value chain

Start with step one

Korean fabs and suppliers can join the 2027 aPlanner pilot program — or talk to the founder directly.