aPlanner MVP · 2027 Korea pilot program
INDUSTRIES / MANUFACTURING

Manufacturing

AI production planning for the world's most complex manufacturing — starting with Korean semiconductor fabs, their suppliers and high-mix electronics, display and battery plants.

aPlanner is a pre-commercial MVP validated on synthetic fab data. All figures below are design targets; no customer deployments yet.

Target 80%
Faster planning cycle
Target +20–30 pts
Forecast accuracy
Target 8–12 wks
To a running pilot
SEGMENTS

Solutions for Every Manufacturing Type

Discrete Manufacturing

Complex scheduling, multi-level BOMs, and quality management for discrete production.

Key Challenges
Complex BOMs
High mix/low volume
Tight tolerances
Engineering changes
Target Industries
Automotive
Aerospace
Industrial Equipment
Electronics
Key Use Cases
Assembly Scheduling
aPlanner (MVP) -- Optimize assembly line sequencing
Quality Traceability
aQuality (roadmap) -- Full lot and serial traceability
Shop Floor Monitoring
aMonitor (roadmap) -- Real-time production visibility
Supplier Coordination
aPlanner (MVP) -- Synchronize with supplier deliveries

Process Manufacturing

Batch optimization, recipe management, and regulatory compliance for process industries.

Key Challenges
Batch optimization
Recipe management
Regulatory compliance
Yield variability
Target Industries
Chemicals
Food & Beverage
Pharmaceuticals
CPG
Key Use Cases
Batch Optimization
aPlanner (MVP) -- Optimal batch sizing and sequencing
Yield Management
aYield (roadmap) -- Process yield optimization
Campaign Planning
aPlanner (MVP) -- Multi-product campaign scheduling
Regulatory Compliance
aQuality (roadmap) -- FDA, cGMP, HACCP compliance

Semiconductor Manufacturing

High-complexity planning for wafer fab, NAND Flash, and semiconductor assembly.

Key Challenges
Re-entrant flows
Ultra-long cycle times
Capacity constraints
Yield optimization
Target Industries
NAND Flash
Wafer Fabrication
OSAT
PCB/SMT Assembly
Key Use Cases
Fab Planning
aPlanner (MVP) -- Multi-fab constraint-based scheduling
Wafer Lot Tracking
aMonitor (roadmap) -- Real-time WIP and lot status
Yield Prediction
aYield (roadmap) -- AI-powered yield forecasting
Equipment Utilization
aOps (roadmap) -- Maximize tool utilization
CHALLENGES

Manufacturing Challenges We Are Building For

aPlanner addresses the planning challenge today; the other MAKE products are roadmap.

Slow Planning Cycles

Delayed production, missed orders

aPlanner AI-powered scheduling

Quality Issues

Scrap, rework, customer complaints

aQuality predictive quality management

Low Equipment Utilization

Wasted capacity, high costs

aOps AI operations management

Poor Visibility

Reactive decisions, firefighting

aMonitor real-time production monitoring

Yield Loss

Material waste, margin erosion

aYield AI yield optimization

Siloed Systems

Data gaps, manual processes

aMake unified manufacturing execution
SOLUTIONS

The MAKE Platform for Manufacturing

One product in MVP today — aPlanner. aMonitor follows; the rest of the MAKE suite is roadmap (2029–31).

aPlanner

MVP
aPlanner - AI-Powered Production Planning
Plan Smarter. Produce Faster.
Target 80% faster planning
Target 85–90% forecast accuracy
Target 99%+ feasible plans
AI demand forecasting
Constraint-based scheduling
Scenario simulation
Real-time analytics
Learn More

aMonitor

Next (2027–28)
Real-Time Production Monitoring
See Everything. Miss Nothing.
Real-time dashboards
OEE tracking
Alert management
Production dashboards
OEE analytics
Predictive alerts
Learn More

aOps

Roadmap (2029–31)
AI Operations Management
Optimize Every Operation.
Predictive maintenance
Resource optimization
Workflow automation
Maintenance scheduling
Resource planning
Work order automation
Learn More

aQuality

Roadmap (2029–31)
AI Quality Management
Predict Quality. Prevent Defects.
Predictive quality
SPC analytics
Compliance management
Defect prediction
SPC automation
Visual inspection AI
Learn More

aYield

Roadmap (2029–31)
AI Yield Optimization
Maximize Every Batch.
Yield prediction
Root cause analysis
Process optimization
AI yield forecasting
Root cause detection
Recipe optimization
Learn More

aMake

Roadmap (2029–31)
AI Manufacturing Execution
Execute with Intelligence.
Unified MES
Digital work instructions
Production tracking
ERP integration
Digital instructions
Lot tracking
Learn More
PILOT PATH

From Paid Assessment to Subscription

1

Planning Readiness Assessment

2–4 weeks · paid (KRW 50–100M)

Map planning process, data sources (MES, ERP, yield DB, Excel) and constraints

Output: Readiness report, pilot scope and target KPIs
2

Pilot on One Line

8–12 weeks (target)

Deploy aPlanner on-prem or private cloud; read-only connectors; planners validate every plan

Output: Measured pilot KPIs against the baseline
3

Starter Subscription

From 2027–28

Convert the pilot to a KRW subscription; write-back of approved plans after sign-off

Output: AI planning in daily use on the pilot line
4

Expand

Roadmap

Multi-site; aMonitor (2027–28) and the MAKE suite as they ship

Output: Smart Factory on one data model
TARGET OUTCOMES

Target performance — MVP under validation (2026)

Modelled on synthetic fab data. Baselines are industry observations from spreadsheet-based planning; targets are design goals for the 2027 pilot — not measured customer results.

MetricToday (spreadsheet planning)Target with aPlannerTarget improvement
Master-planning cycle3–5 days (Excel)Target < 30 min full-fab schedule
Target 80% faster
Forecast accuracy55–65% (spreadsheet)Target 85–90%
Target +20–30 pts
Scenario evaluationDays per scenarioTarget minutes per scenario
Target 95% faster
Planner time on strategy~20% (70% gathering data)Target 60%
Target 3×
WHY KOREA

Three advantages no overseas vendor can copy quickly

Korea is the center of gravity of memory manufacturing. Amoza Korea is being founded there — next to the planners.

Data stays in the fab

What we do

On-premise or private cloud inside the fab network — air-gapped option, read-only connectors first, no production data leaves the site; K-ISMS / ISO 27001 roadmap.

Why it wins in Korea

Korean fabs reject off-site production data. Cloud-first planning suites stall in the security review; we clear the #1 objection on day one.

Korean systems landscape

What we do

Pre-built connectors for in-house MES, SAP ERP, yield / bin databases and planner spreadsheets; Korean SI / MES partners deliver; two Siemens Industry Software architects advise on MES / PLM integration.

Why it wins in Korea

Incumbents need 12–18 months of system-integrator customization; we target 8–12 weeks to a running pilot because the Korean stack is our default, not a project.

Korean users, Korean support

What we do

Korean UI, reports and approval workflow; Korean hires in 2027 (planning domain, MES integration, BD); founder and support within an hour of the cluster (Songdo / Suwon); KRW contracts with a Korean company.

Why it wins in Korea

Overseas vendors support in English from another time zone; we sit next to the planner, in Korean, at roughly half the incumbents' entry price (Starter KRW 120–300M).

Pilot program 2027 — Korean fabs & suppliers

A paid readiness assessment, then an 8–12-week pilot on one production line — deployed inside your fab network. Design partners shape the roadmap.