COMPANY

3-Party Trade,
Rebuilt in
Software

Manufacturing Memory,
Company Asset

A labor-intensive industry that no longer depends on people:
data leads the process and the production floor self-learns.
Factories worldwide connect in one language,
setting a stable standard for the 3-party supply chain.
We make labor-intensive industry one where data leads the process and the production floor self-learns, and set the 3-party supply chain standard.

Many nations passed through this industry on their way to prosperity,
and I believe its future will be better than its past.
My most important work is building a manufacturing civilization
that advances with every generation.

SYNZUN

MISSION

Move the tacit knowledge of human-centered manufacturing into AI
and build a knowledge asset that grows after people leave.

VISION

Shift the 3-party trade supply chain to
software-defined autonomous manufacturing.

C1 // OVERVIEW

AI Software R&D
for Apparel OEM

Overview

SIJE is an enterprise AI company for the global
OEM supply chain. We design, develop and operate
one operating system, from the production floor
to cloud and AI agents, so knowledge stays in-house.
SIJE is an enterprise AI company for the global OEM supply chain. It designs, develops and operates everything from production-floor workers to the cloud and AI agents as one operating system.

  1. 1-ACorporate Info
  2. 1-BCompany Nature
1-A. Corporate Info

A Global IT Company for a Global Industry

SIJE was founded by a clothing and textiles graduate with a career in industrial engineering for sewing.
The Korea headquarters designs the smart factory, cloud and AI agents; the entity and partner in Vietnam and Indonesia build and run that system in local factories.
NameSIJE Inc.FoundedMay 12, 2021
CEOSYNZUNBusinessB2B vertical AI software
IndustrySewn-products OEM supply chain (3-party trade among buyer, vendor, and factory)
Korea OfficesSeoul Lab · Songdo HQOverseasSIJE VINA, Hanoi, Vietnam (local subsidiary) · Indonesia (partner company)
ProductsMonolis (integrated supply chain software)
Monolog (smart factory solution for factories)
Mono:parts (trims sourcing solution)
Tense AI (Coming Soon)
1-B. Company Nature

AI Algorithm and Software R&D for Interpreting Human-Dependent Production

Core assets: process interpretation algorithms, a domain term dictionary, and standard data from 4 years at multiple Vietnam factories.
These three turn production-floor tacit knowledge into a reusable knowledge asset.
Agents and People Connected on the Sewing Data DictionaryA center plate (fabric · style · factory · sewing machine · worker and their relations) is linked by dotted-line bundles to AGENT · DECISION · HUMAN USER tiles on the surrounding grid. Legend: operation breakdown records, floor sensor signals, orders · P/O, TechPack · BOM, cost · labor cost, documents (PDF · Excel).→ MANUFACTURING ONTOLOGYAGENTHUMAN USERDECISIONAGENTAGENTHUMAN USERDECISIONAGENTData SourcesBreakdown RecordsSensor SignalsOrders · P/OTechPack · BOMCost · Labor CostDocuments (PDF · Excel)
C2 // ORGANIZATION

Five Roles,
One Orbit

Organization: Five Roles Sharing One Product Flow

Five roles share one Product flow, and RS alone handles research.

  1. 2-ARole Formula
  2. FIG.Role = Current Expertise + Second Domain
  3. 2-BProduct Flow
  4. FIG.From customer context to product, with feedback
  5. 2-CIO Team
2-A. Role Formula

Role = Current Expertise + Second Domain

A role structure designed so each member grows into an AI specialist.
A second domain each member leads (Management · Direction · AI Transformation · Architecture) is added to existing expertise (PL · Design · Frontend · Backend), moving the center of work to AX.
RolesCurrent Expertise + Second DomainFocus
IOIntegration & OptimizationCustomer · Contract · WireframeCustomer org and operations analysis, optimization strategy
MGManagerPL + ManagementProduct lifecycle lead, planning to launch
DRDirectorDesign + DirectionInterface optimization for a better UX
AXAI ExperienceFrontend + AI TransformationSewing data dictionary (ontology) definition, DB design, AI application
TA/DAArchitectureBackend + TA or DAData-software integration design, system infrastructure build
RSResearcherTechnology + AI ResearchTechnology trend tracking, advance research for solutions
Role = Current Expertise + Second Domain

Press a role to pause the orbit and see its description

2-B. Product Flow

Four Stages from Customer Need to Product

At the customer site, IO organizes the requirements, contract scope and draft screens (Wireframe), and Manager defines them as product features.
Director completes the screens and usage flow of each feature as the development baseline (Implementation Story).
AI Experience builds the screens and AI features from this baseline, and Architecture designs the data and server structure.
Manager defines the customer requirements IO has organized as product features, Director completes the development baseline (Implementation Story), and AI Experience and Architecture build it.
Problems found in development and real use are fixed starting from that stage's baseline, so document and product never diverge.
Roles talk to each other freely, and the baseline is kept as one document.
From customer context to product, with feedback
IOINTEGRATION & OPTIMIZATION
Customer Needs · Contract Scope · Wireframe
MGMANAGER
Feature Specs
DRDIRECTOR
Implementation Story (Dev Baseline)
FEEDBACK
PRODUCTMonolis · Monolog
Mono:parts
Tense AI
AXAI EXPERIENCE
UI · AI Feature Build
TA/DAARCHITECTURE
Data · Server Design
PRODUCT FLOWFEEDBACKFixes from build and use go into that stage's baseline
IOINTEGRATION & OPTIMIZATION
Customer · Contract · Wireframe
OUTPUT
Customer Needs · Contract Scope
Wireframe
MGMANAGER
PL + Management
OUTPUT
Feature Specs
DRDIRECTOR
Design + Direction
OUTPUT
Implementation Story
(Dev Baseline)
AXAI EXPERIENCE
Frontend + AI Transformation
OUTPUT
UI · AI Feature Build
TA/DAARCHITECTURE
Backend + TA or DA
OUTPUT
Data · Server Design
PRODUCTMonolis · Monolog · Mono:parts
Tense AI
PRODUCT FLOWFEEDBACKFixes from build and use go into that stage's baseline
2-C. IO Team

IT Team of Domain Experts from Sewing Floors

IO (Integration & Optimization) is a team of domain experts from apparel vendors and sewing factory floors.
It connects the information scattered across a customer site (Integration) and turns work hardened by manual entry and duplicate reporting into a system flow (Optimization).
Unlike general ERP vendors, where development and domain teams are separate, people who know operation breakdown, cost design and on-floor measurement interpret customer requirements directly and hand them over as development baselines.
IO (Integration & Optimization) is a team of domain experts from apparel vendors and sewing factory floors. Staff who know operation breakdown, cost design and floor measurement read customer requirements directly and pass them on as development baselines.
CUSTOMER
Diagnosis

Owns customer contact from first meeting to post-rollout adoption, diagnosing problems by process and cost, not by feature pitch.

PROCESS
Process Mapping

Maps order, production and shipment flows of vendors and factories in Vietnam and Indonesia as system-view workflow charts.

SYSTEM
System Consulting

Reviews current ERP, MES and Excel use, separates what to keep from what to replace, then decides which data moves to Monolis and designs the migration.

SPEC
Spec Translation

Turns vague business requests into feature-level requirements the development team can build, and explains technical limits back in business terms.

C3 // MILESTONES

2021 → 2026

History

Investment, awards, certifications, new offices and national R&D since founding, listed by year.

  1. 2021
    1. 05
      SIJE Inc. founded
  2. 2022
    1. 03
      Company R&D center recognized (KOITA)
    2. 11
      KOSME growth-sharing investment
    3. 12
      Minister of Science and ICT Award (Data Voucher Program excellence)
  3. 2023
    1. 03
      KOSME Youth Startup Academy, 13th Cohort
    2. 05
      Incheon CCEI BiiG WAVE agreement
    3. 06
      Venture certified (R&D type)
    4. 07
      Seed investment: Kingo Spring · Beyond Valley
    5. 10
      Selected for MSS TIPS
    6. 11
      Incheon Mayor Award, Startup Promotion
  4. 2024
    1. 01
      iF Design Award Winner (Monolis)
    2. 02
      MSS Minister Award (Youth Startup Academy honors graduate)
    3. 04
      Pre-A investment · Global IP Star Company
    4. 06
      ISO 9001 certified · Monolog V1 FCC (US) · QCVN (Vietnam) certified
    5. 09
      SIJE VINA, Vietnam subsidiary, founded (Hanoi) · selected for KISED TIPS commercialization
    6. 12
      Data business filed (data analysis)
  5. 2025
    1. 04
      Inno-Biz certified (Grade A) · AWS partnership · Monolog IP4X certified
    2. 12
      Pre-A bridge investment · IP Management Certification
  6. 2026
    1. 02
      ISO/IEC 27001:2022 Certified
    2. 03
      KOSME Global Startup Academy, 7th Cohort
    3. 03
      Gold Prize, AW 2026 Open Innovation Round
    4. 04
      MOTIR ESPR national R&D started (in charge of sewing process carbon data)
    5. 05
      Selected for the Startup Leap Package
    6. 07
      Manufacturing AI R&D program (F&I Korea)
    7. 08
      M.AX specialist company confirmed (AI solution firm)
    8. 10
      MSS Minister Commendation (Incheon Startup Promotion)
C4 // TECHNOLOGY

Proprietary Data,
Patented Logic

Patents and Production Data

Process interpretation algorithms are patented in Korea and abroad. The domain dictionary and standard data come from real factory breakdowns and measured learning curves.

  1. 4-ATech Assets
  2. 4-BIP Portfolio
4-A. Tech Assets
ALGORITHM
Process Algorithms
11

Korean Patents

DICTIONARY
Domain Dictionary
47,359

Operation Dictionary

STANDARD DATA
Standard Data
1,021,940

Operation records · 56-factory learning curves

4-B. IP Portfolio

Patents Across Measure · Analyze · Plan · Execute · Control

11 Korean patents and overseas patents in Vietnam, Indonesia, the US, Europe, Japan and under the PCT cover all three layers: data collection, data dictionary, and agents · applications.
Four patent groups mapped onto three layers
SIJE Tech Stack and PatentsThree layers stack from the bottom: MEASURED DATA, ONTOLOGY, AGENTS + APPLICATIONS. The patent groups on both sides (Measure · Analyze · Plan · Execute · Control) connect to each layer edge by horizontal lines.→ AGENTS + APPLICATIONS→ ONTOLOGY→ MEASURED DATAPLANPlanMethod and Device for Optimal Apparel Production PlanHigh-Mix Low-Volume Production Line Management SystemMulti-Agent Supply Chain Production Plan CoordinationEXECUTEExecute · ControlApparel Production Management Device & MethodMethod to Create & Verify Apparel Process LedgerAutonomy-Level Execution Control of Production WorkflowsINTERPRETAnalyzeMethod for Calculating Production Line Output Using AIAI Sewing Bottleneck Optimization: Learning Curves & SimulationMethod and Device for Providing Loss DataMEASUREMeasureSewing Monitoring Device & MethodWork Data Refinement Device & Method
CategoryTitleNo.Year
KoreaMethod for Calculating Production Line Output Using AINo. 10-24311072022
KoreaHigh-Mix Low-Volume Production Line Management SystemNo. 10-26924032024
KoreaMethod and Device for Providing Loss Data10-2024-01080462024
KoreaSewing Monitoring Device & Method10-2024-01722162024
KoreaMethod and Device for Optimal Apparel Production PlanNo. 10-28371692025
KoreaApparel Production Management Device & Method10-2025-00332632025
KoreaWork Data Refinement Device & Method10-2025-00971312025
KoreaAI Sewing Bottleneck Optimization: Learning Curves & Simulation10-2026-01466562026
KoreaMethod for Controlling Execution of Apparel Production Management Workflow Based on Autonomy Level, System and Computer-Readable Recording Medium10-2026-01823202026
KoreaMethod for Generating and Verifying Apparel Manufacturing Process Ledger, System and Computer-Readable Recording Medium10-2026-01823212026
KoreaMethod for Coordinating Production Plans of Apparel Manufacturing Supply Chain Using Multiple Agents, System and Computer-Readable Recording Medium10-2026-01823232026
OverseasMethod for Calculating Production Line Output Using AI (Vietnam · Indonesia)1-2022-07875
P00202213756
2022
OverseasMethod and Device for Optimal Apparel Production Plan (PCT)PCT/KR2025/0036732025
OverseasSewing Monitoring Device & Method (PCT)PCT/KR2025/0069742025
OverseasApparel Production Management Device & Method (US · Europe · Japan)19/805,786
26 204 755.8
2026-205989
2026
Marks · DesignsSIJE · Monolis · Monolog · Mono:parts · Tense AI trademarks,
remote controller · work light designs (incl. Hague international design)
SIJE trademarkMONOLIS trademarkMONOLOG trademarkmono:partstense trademark
Korea
  • Method for Calculating Production Line Output Using AI
  • High-Mix Low-Volume Production Line Management System
  • Method and Device for Providing Loss Data
  • Sewing Monitoring Device & Method
  • Method and Device for Optimal Apparel Production Plan
  • Apparel Production Management Device & Method
  • Work Data Refinement Device & Method
  • AI Sewing Bottleneck Optimization: Learning Curves & Simulation
  • Method for Controlling Execution of Apparel Production Management Workflow Based on Autonomy Level, System and Computer-Readable Recording Medium
  • Method for Generating and Verifying Apparel Manufacturing Process Ledger, System and Computer-Readable Recording Medium
  • Method for Coordinating Production Plans of Apparel Manufacturing Supply Chain Using Multiple Agents, System and Computer-Readable Recording Medium
Overseas
  • Method for Calculating Production Line Output Using AI (Vietnam · Indonesia)
  • Method and Device for Optimal Apparel Production Plan (PCT)
  • Sewing Monitoring Device & Method (PCT)
  • Apparel Production Management Device & Method (US · Europe · Japan)
Marks · Designs
  • SIJE · Monolis · Monolog · Mono:parts · Tense AI trademarks,
  • Remote controller · work light designs (incl. Hague international design)
SIJE trademarkMONOLIS trademarkMONOLOG trademarkmono:partstense trademark
C5 // TRUST

Prove Everything

Basis of Trust

Security and quality certifications appear with their numbers and exact scope wording, plus AI principles, deployment method, awards and ESG.

  1. 5-ACertifications
  2. 5-BAwards
  3. 5-CESG
SECURITY
Single-Tenant Setup

Each customer has its own cloud single-tenant
environment for production, cost and worker
data, never mixed with other customer data.
Production, cost and worker data are kept in a separate cloud single-tenant environment for each customer.

ISO/IEC 27001:2022 · GI-260151
AI PRINCIPLE
AI Proposal · Staff Approval

AI-computed plans, costs and allocations are
proposals; only staff approval confirms them.

Human-in-the-loop · No video stored
DEPLOYMENT
3-Phase Deployment Method

Current cost sheets and operation standards
stay as is. Diagnosis and design come first,
then build and go-live, then expansion by line and entity.

Phase 1 Diagnose·Design → Phase 2 Build·Go-Live → Phase 3 Operate·Expand
5-A. Certifications

Certified Security, Quality and Tech Innovation

  • MOTIR

    M.AX Specialist
    AI Solution Firm

  • Venture Firm

    R&D Type

  • INNOBIZ

    Tech-Innovative SME, Grade A
    MSS

  • ISO/IEC 27001ISO 9001

    Security · Quality

  • MOIP

    IP Management Cert

  • iF DESIGN AWARD

    Monolis Winner

  • SAC

    Sustainable Apparel Coalition full member

  • MSIT

    Company R&D Center

CertsScope or GradeNo.Issuer
ISO/IEC 27001:2022Apparel Supply Chain SolutionsGI-260151GERMAN CERT
ISO 9001:2015Development and supply of software (ERP for apparel)kociQ-2d90133KOCI
M.AX SpecialistAI Solution FirmKEIT
Inno-BizTech-Innovative SME · Grade ANo. 250703-00429MSS
IP Management CertExemplary IP managementNo. 2025-0070MOIP
Venture FirmR&D TypeNo. 20260805020001Venture Verifier
Company R&D CenterSIJE Inc. R&D CenterNo. 2022111241KOITA
SustainabilityApparel manufacturing · verified Higg Index useSustainable Apparel Coalition
Product CertsMonolog
FCC SDoC 47 CFR Part 15 Subpart B (US)
QCVN 18:2022
QCVN 112:2017 EMC (Vietnam)
IP4X per IEC 60529
5-B. Awards

Recognized Tech and Products

2022.12
MSIT Minister Award
2023.11
Incheon Mayor Award, Startup Promotion
2024.02
MSS Minister Award
2024
iF Design Award Winner
2026.03
Gold Prize, AW 2026 Open Innovation Round
2026.10
MSS Minister Commendation, Incheon Startup Promotion
5-C. ESG

Customer ESG Support and Regulatory Response Based on National R&D

E
Environment
  • Joint R&D institution in the MOTIR ESPR national R&D. Handles sewing process carbon data in a 12-institution consortium
  • Paperless records: measured data replaces handwritten daily reports
S
Social
  • Objective proof of skill: measured data proves worker skill and supports fair evaluation and pay
  • Interface in 5 languages: Korean, English, Vietnamese, Indonesian, Japanese
  • Worker data managed to ISO/IEC 27001
G
Governance
  • IP Management Certification (MOIP, 2025.12)
  • IP rights written upfront
  • Sustainable Apparel Coalition full member (2023)
  • Stock option gain sharing
EEnvironment
  • National R&D on sewing process carbon data (ESPR)
  • Paperless records
SSocial
  • Proof of skill
  • 5-language interface
  • Worker data protection (ISO/IEC 27001)
GGovernance
  • IP Management Cert
  • IP rights set upfront
  • SAC full member
  • Stock option sharing
C6 // GLOBAL

Korea · Vietnam ·
Indonesia

Global Offices

Headquarters builds the technology; the local subsidiary and partner deploy and operate. Execution teams sit in countries with sewing factories.

KOREA · HQ
Seoul Lab · Songdo HQ

Product development and R&D, national projects, and support for vendor HQ customers. Home to management and the IO·MG·DR·AX·TA/DA·RS role teams.

Product · R&D · Vendor HQ accounts
VIETNAM · SUBSIDIARY
SIJE VINA, Hanoi

Subsidiary founded in September 2024. Handles ERP·MES deployment and on-site operation, plus accounting, tax, legal and admin outsourcing for incoming firms.

INDONESIA · CUSTOMER · PARTNER
Customer and Local Partner

PT. Quty Karunia is both a customer using SIJE solutions and our local partner. Together we support deployment and operation at sewing factories in Indonesia.

Deployment · Local support
C7 // CONNECT

Work with
SIJE

Contact · Careers