aPlanner is in MVP validation (Oct–Dec 2026). Figures are design targets. Join the 2027 Korea pilot →
ABOUT APLANNER

A Korean company waiting to be born

aPlanner - AI-POWERED PRODUCTION PLANNING is created by one founder who watched the world’s most advanced fabs being planned in spreadsheets. It is pre-commercial, self-funded, and heading for incorporation in Korea in 2027.

OUR STORY

Korean fabs make the world’s memory, but they still plan it in Excel

I have spent my career writing software for manufacturing. Working with Siemens Industry Software and on Samsung Electronics projects in Korea, I sat next to production planners and saw how the most advanced factories on earth are still planned: 3–5-day master-planning cycles, forecasts at 55–65% accuracy, about 70% of a planner’s week spent reconciling MES, ERP and spreadsheets.

When a machine goes down or a hyperscaler doubles its order, a planner needs a new plan in hours. Today it takes days, with numbers nobody fully trusts, and the cost — US$100M+ a year per large fab — hides in inventory, expedite fees and missed demand.

The tools were not built for this. SAP APO is end-of-life and its successors were not designed for yield curves and node transitions; the AI-first vendors were built for consumer supply chains. Nobody has built an AI-native planner for the fab — and nobody has built one here, for Korean fabs, in Korean.

aPlanner is that planner: yield-aware, constraint-based, scenario-driven, explainable. It began as personal research in 2026, self-funded, on synthetic fab data and public methods — no employer code or data. Two Siemens Industry Software architects advise; five partners build with me. The company comes next: Amoza Korea Co., Ltd., incorporated in 2027, piloting with a Korean fab the same year.

"aPlanner is a Korean company waiting to be born. I will incorporate in Korea, protect the technology with Korean patents, and put AI planning into a Korean fab in 2027."

— Danniel Nguyen, Founder

What changes for the planner — weekly batch plan → living plan; 1–2 scenarios → 3 ranked options; 15 e-mails → one commit
Explain — the full constraint chain for a rerouted batch
OUR MISSION

Put an explainable AI planning engine next to every fab planner — starting in Korea

AI recommends, people decide. Here is what that is designed to mean in practice (targets, not results):

For planners

Less time gathering data. Fewer manual calculations. More time for strategic analysis. And finally, plans you can trust.

For operations leaders

Visibility into what's really happening. Confidence in your forecasts. The ability to evaluate scenarios in minutes, not days.

For your business

Lower inventory costs. Better on-time delivery. Reduced expediting. And measurable competitive advantage.

THE TEAM

Founder, two Siemens Industry Software advisors, five partners

No legal entity yet — aPlanner is personal research by the founder, self-funded, supported by two Siemens Industry Software advisors and five partners. Partner contributions are assigned in writing. Amoza Korea Co., Ltd. will be incorporated in 2027 (Incheon Songdo or Suwon, to be confirmed).

Founder & Representative

Nguyen Van Duong (Danniel Ng)

Senior Software & AI Engineer; Industry Software and AI projects for Siemens Industry Software and Samsung Electronics in Korea; originator of aPlanner. Based in Suwon.

Advisors — Siemens Industry Software

Ms. Kim HaeRan · Mr. Park JunSang

Architect & Develop Service, and Senior Presales Solution Architect, at Siemens Industry Software. They advise on Industry Software architecture, MES / PLM integration and Korean manufacturing customers.

Partners

Lio Alio · Mike Mai · Louis Vu · Logan Nguyen · Tann Vu

AI/ML research, full-stack platform engineering, applied AI (Samsung SDS), product / UX and finance — working under the founder’s direction with written IP assignment.

OUR VALUES

The principles that guide everything we do

Innovation

Drive AI-powered solutions for smarter planning

We embrace continuous learning, experimentation, and challenging the status quo.

Integrity

Build trust through transparency

Honest communication, keeping commitments, and admitting when we're wrong.

Collaboration

Partner for shared success

Cross-functional cooperation, customer co-development, and building ecosystems.

Customer-centricity

Deliver measurable value

User research, outcome-based success metrics, and responsive support.

Excellence

Commit to quality and improvement

High standards, attention to detail, and relentless pursuit of better.

OUR VISION

Beyond aPlanner — the Amoza AI platform, from shop floor to customer door

aPlanner is the starting point, not the destination. Planning leads to monitoring; planning plus monitoring on one AI platform becomes a complete Smart Factory; the same production data then powers customer experience, logistics and commerce — a chain that runs from the fab to the customer’s door.

Long-term direction only — today we build step one, aPlanner, in Korea
1
Bootstrap → Launch

aPlanner

Manufacturing Planning — the starting point (Korea, 2026–27)

2
2027–28

aMonitor

Manufacturing Monitoring — OEE, equipment health, predictive alerts

3
2028–29

Amoza AI Platform

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

4
2029–31

Smart Factory (MAKE)

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

5
2031–33

Smart CX (DELIGHT)

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

6
2033+

Complete chain

MOVE and SELL close the loop: MAKE > MOVE > SELL > DELIGHT — from shop floor to customer door

MAKE · Smart Factory
MOVE · Smart Supply Chain
SELL · Smart Commerce
DELIGHT · Smart CX

Amoza AI Platform — one foundation serving MAKE, MOVE, SELL and DELIGHT

One data model — production → inventory → orders → customer signals — so every product added to the chain starts with the data and AI of the previous one.

aCore
ML models, training pipelines, inference — forecasting for the fab today; inventory, pricing and churn tomorrow
aFlow
Data pipelines and quality — one ingestion layer for MES, ERP, WMS, commerce and CX data
aConnect
ERP · MES · commerce · CRM integration hub with intelligent data mapping
aExecutor
Autonomous AI agents that run multi-step workflows across pillars (re-plan → re-allocate → notify)
aData
Governance, lineage, PII detection — required for Korean fabs and for customer data alike

For investors

A US$100K self-funded bootstrap has already produced working prototypes. Korean public programs de-risk the first year; a US$800K Pre-Seed (targeted Q2–Q3 2027, after Korean incorporation) buys the first fab pilot and the first Korean hires.

View investment opportunity
WHAT SETS US APART

Three things that make aPlanner different

01

Industry-specific AI — not generic algorithms

Legacy APS is generic and its AI is bolted on; the AI-first vendors were built for consumer supply chains. aPlanner models what makes a fab a fab, inside the solver:

Yield and bin distributions per process step as optimizer inputs
Node migrations (176L → 236L → 300L+) planned as one system
Qualification matrix, batch tools and PM windows as constraints
Explainable re-planning with frozen / flex / far zones

Yield-aware constraint scheduling and node-migration planning — KIPO patent applications planned Dec 2026 and Q1 2027.

Industry-specific AI — not generic algorithms
02

Designed for first value in 8–12 weeks — not 12–18 months

Incumbents need a year or more of system-integrator customization before a fab sees a plan. aPlanner is designed to deliver first value in 8–12 weeks (target). How?

Paid readiness assessment first (2–4 weeks), then a pilot on one line
Pre-built connectors for in-house MES, SAP ERP, yield / bin DB, Excel
The Korean fab stack is the default, not a project
On-premise / private cloud packaging — same code everywhere

A target, not a track record — until the first Korean pilot in 2027.

Designed for first value in 8–12 weeks — not 12–18 months
03

Data stays in the fab. Support speaks Korean.

Korean fabs ask three questions first: where is my data, does it talk to my MES, and who answers the phone in Korean at 7 a.m.?

On-premise or private cloud, air-gapped option, read-only first
Korean UI, reports and approval workflow
Founder and 2027 hires within an hour of the Yongin–Pyeongtaek cluster
KRW contracts with a Korean company at roughly half the incumbents’ entry price

A position no overseas vendor has.

Data stays in the fab. Support speaks Korean.
OUR JOURNEY

2026–2027: OASIS-6 → KIPO patent → Amoza Korea → D-8-4 → first fab pilot → Pre-Seed

The sequence matters: award, IP, company, visa, pilot. OASIS-6 is the first domino.

Now
Oct 2026 – Mar 2027

OASIS-6 · IP · MVP validation

  • OASIS-6 competition; OASIS-4/5
  • KIPO patent application #1; trademarks Amoza / aPlanner
  • aPlanner MVP validation on synthetic fab data; Korean UI
Next
Mar – May 2027

Amoza Korea Co., Ltd. · D-8-4

  • Incorporate Amoza Korea (Incheon Songdo or Suwon — TBC) with OASIS-8
  • TIPS / Pre-startup Package applications
  • D-8-4 change of status; pilot contract negotiation
Planned
May – Sep 2027

First Korean fab pilot · Pre-Seed

  • First Korean fab pilot (one line, 8–12 weeks) after a paid readiness assessment
  • Hire 2 Korean engineers (planning domain + MES integration)
  • Pre-Seed US$800K (≈ KRW 1.1B)
Planned
Oct 2027 – Mar 2028

Pilot → Starter subscription

  • Convert pilot to Starter subscription (first KRW revenue)
  • Second Korean customer (supplier / OSAT)
  • SOC 2 Type II — planned 2027–28; Seed preparation
Planned
2028 – 2029

5–10 Korean customers · aMonitor

  • 5–10 Korean customers
  • aMonitor (factory monitoring) add-on
  • Seed US$2M; Singapore / Vietnam from the Korea HQ
PRODUCT STAGE
Done
Phase 1 — Foundation
Apr–Jun 2026
Done
Phase 2 — Concept
Jul–Sep 2026
Working prototypes on synthetic fab data
Now
Phase 3 — Validate
Oct–Dec 2026
MVP validation, Korean UI
Planned
Phase 4 — Launch prep
Jan–Mar 2027

Not commercialized; no revenue; no customers yet. Demo data is synthetic and clearly labelled.

Amoza

AI for Real Life. Real Impact.

THE COMPANY

Amoza is the platform vision behind aPlanner, and Amoza Korea Co., Ltd. will be the company that builds it — incorporated in Mar–May 2027 under the D-8-4 Technology Startup Visa, with the founder as representative. Until then aPlanner is personal research, self-funded, supported by two Siemens Industry Software advisors and five partners.

aPlanner is the first product of the Amoza AI platform. Next: aMonitor (factory monitoring). The full chain — MAKE > MOVE > SELL > DELIGHT, from shop floor to customer door — is long-term direction only.

Legal entityNone yet — Amoza Korea Co., Ltd. to be incorporated Mar–May 2027
LocationIncheon Songdo startup area or Suwon (to be confirmed); founder based in Suwon
TeamFounder + 2 Siemens Industry Software advisors + 5 partners
FundingUS$100K self-funded bootstrap; Pre-Seed US$800K targeted Q2–Q3 2027
StagePre-commercial MVP — validation Oct–Dec 2026; no customers, no revenue
First marketKorean NAND-flash and DRAM fabs, then OSATs and suppliers in the cluster

The name "Amoza" carries the aspiration: "A" for AI-powered, "Moza" for new / fresh — a fresh approach to manufacturing intelligence. Contact: danniel@amoza.ai · +82 10-7785-2831.

Want to be part of step one?

Fab planning teams, Korean accelerators, TIPS operators and potential design partners — the founder would like to talk.

No commitment
Prototype walkthrough
Planning readiness assessment