VEXPLOR
CUSTOMER CASES

Factories WACE built,and what changed.

From the Korea MSS Autonomous Factory Program to MES and PLM builds, we show you exactly what we built and with what technology. Planned figures, we label as planned.

20+ PROJECTS · NATIONAL AUTONOMOUS-FACTORY PROGRAM · 6 MFG-AI PROGRAMS · GOV PROGRAM TYPES
01PROJECT LEDGERSECTOR · DATED · STACKED
NO.Customer · IndustryScope · Technical stackPeriod
C-01the demonstration siteCapacitor cases · press mass productionKorea MSS Autonomous Factory Program, selected 2025 — full-stack perception-decision-execution cycleSTACKMES · 3D WEBGL DIGITAL TWIN (SYNC IN ROLLOUT) · AI AUTONOMOUS CONTROL · AAS (BASYX) · EDGE
SCALEEXISTING EQUIPMENT INTEGRATED (PRESS · AMR · EMS, HETEROGENEOUS) [VERIFIED] · DES ACC 85% DEMONSTRATED [VERIFIED]
2025.06–2027.06
C-03Glass processing companyGlass processingMES + Order-based PLM — a single data flow from order to design to production to shipmentSTACKMES · ORDER-BASED PLM · REAL-TIME EQUIPMENT MONITORING
RESULT100% AUTOMATED LOT TRACEABILITY [CUSTOMER RESULT]
2024–2025
C-04a metal casting manufacturerAluminum die castingPhase 1 MES → Phase 2 Manufacturing-AI Program — extended to AI on the same standard tablesSTACKMES · PREDICTIVE MAINTENANCE (LSTM AE+CNN) · QUALITY PREDICTION (LSTM-CNN+ATTENTION) · PROCESS OPTIMIZATION · SAAS MES/FEMS DEMO · X-RAY 3D CT INTEGRATION2023.09–2026.06
C-05an injection parts manufacturerElectronic componentsPLM (ProSearch) · unified search · sales management — enterprise-wide search across design assetsSTACKPLM · UNIFIED SEARCH · SALES MANAGEMENT MODULES2024.11–2025.07
C-06a parts manufacturerComponent manufacturingWin-Win Program (Samsung Electronics) MES enhancement — stronger data collection and quality control, completion report submitted to the governmentSTACKMES 10 MODULES · EQUIPMENT DATA COLLECTION · QUALITY CONTROL
RESULTOUTPUT 306→383 EA/HR (+20% OR MORE, TARGET 368 EXCEEDED) · DEFECT RATE 2.3→1.7% (-26%) [MEASURED]
2025.07–2026.07
C-07a semiconductor parts manufacturerSemiconductor components (N2 PURGE)Manufacturing-AI Program — multi-plant procurement/materials AI agents, integrated via ontology without replacing the existing ERPSTACK5 PROCUREMENT/MATERIALS AI AGENTS · K-SYSTEM ERP + PDM ONTOLOGY MAPPING2026.07–2027.03
C-08a surface treatment manufacturerSMT electronics componentsManufacturing-AI Program — manufacturing-process agents and vision inspection, tied to Hyundai SQ certification readinessSTACKMANUFACTURING-PROCESS AI AGENT · AOI VISION INSPECTION2026–2027
C-09a precision parts manufacturerAir-bearing spindlesOrder-based PLM and equipment-build management → full enterprise system build + Manufacturing-AI Program — replacing Douzone iCube ERP with VEXPLOR (keeping only HR and accounting on Douzone Amaranth)STACKERP REPLACEMENT (ICUBE → VEXPLOR) · ORDER-BASED PLM · EQUIPMENT-BUILD MANAGEMENT · 5 PROCUREMENT/MATERIALS AI AGENTS
KEEPHR & ACCOUNTING — KEPT ON DOUZONE AMARANTH; EVERYTHING ELSE BUILT BY WACE
2025.08–2027
C-10Materials companyPET film laminatingAI laminating quality prediction — from process data collection to prediction and optimizationSTACKQUALITY PREDICTION AI · MES · IOT GATEWAY · PROCESS OPTIMIZATION AI2025.10–2026.06
C-11Plating process sitePlating (heat-conduction plates)Manufacturing-AI Program — plating-line agents, an expansion order following the autonomous-factory demonstration at headquartersSTACK5 PLATING-LINE AI AGENTS2026–2027
C-12Food manufacturerHealth functional foodInter-ministry Program smart factory — production management on a food-GMP quality systemSTACKMES · FOOD-GMP COMPLIANCE · BUILT ON AAS STANDARD CAPABILITY2026–2027
C-13Metal processing companyMES build (Standard Government Program) — production management, integrated management, equipment interfacesSTACKMES · INTEGRATED MANAGEMENT · EQUIPMENT INTERFACES2025.05–2026.09
C-14Ilshin AutoclavePLM build — a single revision history for design and quality documentsSTACKPLM2025.06–2026.12
C-15Company S K-System ERP ecosystem — via official partnerK-System ERP add-on POP build and supplySTACKPOP (POINT-OF-PRODUCTION) · K-SYSTEM ERP INTEGRATION2026.06–2027.01
C-16Pito In progressWin-Win Program (Samsung Electronics) smart-factory foundation + integrated operations system build — site inspection complete, build in progressSTACKWIN-WIN SMART-FACTORY FOUNDATION · INTEGRATED OPERATIONS SYSTEM2026.05–
-15%Company H (die casting) — defect-rate reductionCUSTOMER RESULT
99%Company K (automotive electronics) — inventory accuracyCUSTOMER RESULT
-20% · -90% · -15%Defect rate · data-processing time · process operating costEXPECTED IMPACT — NOT A CUSTOMER RESULT
Planned program target figures are not shown · MEASURED = figures in the government-submitted completion report · VERIFIED = field demonstration complete · CUSTOMER RESULT = measured by the customer · IN PROGRESS = build ongoing
CASE C-01 · KOREA MSS AUTONOMOUS FACTORY PROGRAM — SELECTED 2025

the demonstration site —
full-stack closed-loop demonstration

Press industry mood imageINDUSTRY MOOD IMAGE
ProblemA capacitor-case mass-production plant running 186 presses. Plenty of equipment, but the data was scattered, and there was no system to see and operate the whole line as one.
Technical stack (2025.06–2027.06) PERCEPTION — equipment and vision data collection, AAS (BaSyx) asset standardization, EDGE gateway
DECISION — DES-simulation-based AI decisioning, stepwise AAF control handover (starting from Shadow Mode)
EXECUTION — AI → PLC direct control, command validation at the EDGE node
TWIN — Unity 3D WebGL digital twin, 100ms floor sync in rollout
Demonstrated results — to date [VERIFIED]217 units integrated under one system — heterogeneous equipment (the AMRs and EMS are the customer's existing equipment, integrated under AI supervision) · DES simulation accuracy 85%, confirmed against real line data · AI → PLC direct control demonstrated — on physical equipment.
NextThe project runs through June 2027. The stack is built to be transplanted to new sites as-is — we are preparing to extend it across different process types, from high-volume to high-mix.
CASE C-03 · MES + ORDER-BASED PLM

Glass processing company —
one flow from order to shipment

Glass industry mood imageINDUSTRY MOOD IMAGE
ProblemInsulated tempered glass manufacturing — every order has different specs, and LOT tracing relied on paper, so tracing back took time when a quality issue arose.
Technical stack (2024–2025) PLM — Order-based structure: the order itself is the base unit of design and production
MES — process-result collection, LOT-level history logging, real-time equipment monitoring
FLOW — order → design → production → shipment as a single data flow on standard tables
Result [CUSTOMER RESULT]100% automated LOT traceability — tracing back a quality issue went from manual cross-checking to a lookup. Real-time equipment monitoring established.
CASE C-04 · MES → MANUFACTURING-AI PROGRAM

a metal casting manufacturer — extending to AI
on the same standard

Die-casting industry mood imageINDUSTRY MOOD IMAGE
ProblemAluminum die casting — Phase 1 built an MES to establish a data foundation, but the next step, prediction and optimization, had to continue on the same standard rather than as a separate project.
Technical stack (Phase 1 2023.09–2024.09 · Phase 2 2025.10–2026.06) PHASE 1 — MES: accumulating process-result and quality data on standard tables
PHASE 2 — predictive maintenance (LSTM AE+CNN) · quality prediction (LSTM-CNN+Attention) · process optimization AI
INFRA — SaaS-model MES/FEMS demonstration (easing the initial burden for SMEs) · X-RAY 3D CT inspection integration
Why it mattersThis is where the difference from an SI that disappears once the build ends shows. The standard tables and ontology left from Phase 1 became the foundation for the Phase 2 AI expansion, and the customer moved to the next step on the same platform. The Phase 2 target figures are still at the planning stage, so they are not shown.

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