Your factory still
doesn't have an OS.

PCs have Windows. Smartphones have iOS.

What about your factory?

FACTORY OS
ACTIVE
Production Line #1
OEE: 92.4%
Quality Vision
Yield: 99.8%
Robotics & AGV
Fleet Active: 12/12
Data Hub
Sync Rate: 5ms
₩3.1B
Contracts (2025)
₩1.4B
Revenue achieved
2
Gov't autonomous factory projects
20
Industry domains covered

Why factory AI fails

Your factory has 5 to 12 systems.
Each system works well. But they don't know each other.

MES
ERP
QMS
WMS
SCM
Data Silos Detected

This isn't an AI problem. It's the absence of an OS.

Just as you couldn't run KakaoTalk on phones before smartphones. There was no OS.

What caused the defect?
Please provide data
Any impact on delivery?
Information not available
Recommend alternative materials
More context is needed

What happens when you
install an OS in your factory

Quality Manager Kim
"Analyze the root cause of STS304 defect rate surge on Line 3"
Before (apps only)
3 hours · Manual queries across 5 systems · Experience-dependent
After (Factory OS installed)
30 sec · AI auto-searches 5 domains · 2 causes + 3 actions

The secret: The OS already knows 311 relationships.

Why our AI is different

A true AI OS beyond solutions

This isn't just a chatbot on top of solutions.
All solution data is connected through a single Knowledge Graph,
enabling AI to autonomously understand and control cross-system relationships.

MES
Manufacturing
ERP
Enterprise
QMS
Quality
SCM
Supply Chain
WMS
Warehouse
EAM
Asset Mgmt

VEXPLOR
AI OS

Cross-Solution
Integration Engine
311+ business relationships mapped

Semantic Layer (Knowledge Integration)

Not just data aggregation. 20 solutions, 834 tables, and 311 cross-solution business relationships woven into a single knowledge graph (Neo4j). The starting point for AI to understand the complete 'context' of your factory.

Kinetic Layer (Real-time Execution)

CDC pipelines and transactional outbox patterns synchronize data in real-time. When a quality issue is detected, related work orders halt immediately — AI decisions translate to shop floor actions instantly.

Dynamic Layer (Autonomous Evolution)

Graph Data Science (GDS) algorithms combined with 4-path hybrid RAG discover hidden patterns. Self-learning from execution feedback, AI weights are tuned in real-time, evolving toward true autonomous control.

Already in production

VEXPLOR's AI already directly controls PLCs in 2 government autonomous factory projects. This isn't a presentation — it's a track record.
834+ Tables311+ Relationships145+ Workflows900+ UI Screens4-path AI RAG

SpiPox Co., Ltd.

  • 50%+ global SMD market share
  • Digital Twin + AI Quality Control + Autonomous Control
Project scale: ₩1.2B

Samseung Chemical Co., Ltd.

  • Construction materials, Revenue ₩25.4B
  • AI/DT Autonomous Control + AAS Standard Platform
Project scale: ₩1.2B

AI Personal Assistant Growth Model

From day one, your own AI personal assistant starts working. It grows with your factory.

Level 1Immediate

Assistant Deploy

Each employee gets an AI personal assistant

Scenario example
42 tools + 40+ experts available instantly
Level 23 months

Proactive Alerts

Your assistant detects anomalies and alerts you first

Scenario example
SPC drift, equipment vibration anomaly, safety stock reached
Level 36 months

Plan + Approve

Assistant plans, you approve, it executes

Scenario example
"Order STS304" → PO created → Approved → Executed
Level 412 months

Full Operations

Supervisor agent orchestrates the entire factory

Scenario example
Virtual factory simulation, causal inference, digital twin

Start at Level 1.
As the OS learns your factory, it naturally evolves to Level 2, 3, 4.

Expert Agent Collaboration

7 expert agents work like this in your factory

We assembled AI agents from top experts in each field.They share opinions, verify data, and reach optimal decisions together.

This is not a chatbot.
It's an AI team where domain expert agents collaborate in real-time.

Each employee gets their own AI personal assistant

Behind each assistant: 40+ experts and 42 tools on standby. The Supervisor Agent orchestrates everything.

Supervisor Agent

Understands the entire factory and coordinates between personal assistants

Supervisor

Purchasing Assistant

Orders, supplier evaluation, pricing optimization

Quality Assistant

SPC monitoring, CAPA, inspection decisions

Production Assistant

Work orders, shift briefings, line balancing

Equipment Assistant

Predictive maintenance, health scoring

40+
AI Experts
42
Work Tools
5
RAG Paths

Works the same in a 30-person factory

Purchasing + Quality dual-role → One assistant learns both jobs. AI doesn't classify people — it naturally learns tasks from conversations.

Virtual Factory Simulation

AI answers "What if?" with hard numbers

Test in a virtual factory first, without touching the real one.Decisions made with data, not gut feeling.

Other AI

"There is a correlation between temperature and defects"

VEXPLOR AI

"Raise mold temp by 5° and defect rate drops to 0.3%"

Simulation question

"If CNC Machine 3 breaks down, what's the impact?"

Test in the virtual factory first — zero risk to your real operations

AI Safety Guards

AI proposes. Humans decide.

"What if AI acts on its own?" — 5 levels of safety guards.

L0

View

Shows data. AI does not make decisions.

"Current OEE is 87%"

L1

Suggest

Analyzes and recommends. Does not execute.

"Spindle replacement recommended. Reason: ..."

L2

Approved Execution

Requests approval. Executes only when approved.

"PO created → Approval requested → Approved → Executed"

L3

Auto Execution

Auto-executes only within predefined rules.

"Below safety stock → Auto-order (within limits)"

L4

Emergency Response

Immediate action only for safety/quality emergencies + full team notification.

"Consecutive safety defects detected → Line stop + alert"

"AI proposes. Humans decide. Always."

L2 and above always require human approval. All AI actions are recorded in audit logs.

IATF 16949
21 CFR Part 11
ISO 13485
HACCP

"Buying a solution" vs.
"Installing an OS"

Comparison
TraditionalStandalone MES/ERP
VEXPLORFactory OS installed
Analogy
Installing an app
Installing iOS
New features
Buy new software
One click
System integration
Separate SI project
OS auto-connects
AI utilization
Within that system only
AI across entire factory
Data accumulation
Scattered per system
Unified on OS
Time to deploy
6-18 months
No-code, instant
Over time
Maintenance costs rise
AI gets smarter
Switching cost
Low (to another vendor)
High (OS ecosystem)

Phones existed before the iPhone. But a phone on iOS was something entirely different from mobile phones before it.
The same is true for a factory on Factory OS.

What's inside Factory OS

Just as iOS comes with Camera, Maps, and Messages built in,
Factory OS comes with everything built in for factory operations.

Node Builder
Deploy
MES Event
triggerboolean
lot_idstring
QMS Record
defect_idstring
ratenumber
AI Analysis
Running graph algorithms...
System Action
> _halt_line()
> create_alert()

No-Code Canvas

"Design it, and it's instantly operational"

Design tables on the canvas and databases, APIs, and screens are auto-generated. Zero code. 6-stage auto-deployment.

Details
  • Drag & drop schema design (React Flow)
  • 6-stage auto-deployment pipeline (DDL → UI)
  • 6 React components auto-generated per table (CRUD + Form)
  • One-click solution template application

Manufacturing AI (Ontology-based)

"Ask the AI. The OS provides context."

Not generic AI. A manufacturing-specific AI trained on 311 business relationships across 20 industrial domains.

Details
  • 4-path hybrid RAG (Graph / Vector / SQL / Document)
  • Ontology-based hallucination prevention
  • Cross-domain auto-search (5 domains in 30 seconds)
  • AI maturity L1~L4 progressive evolution

Cross-Solution Ontology

"Systems learn to know each other."

The OS core: A knowledge structure that understands inter-system relationships.

Details
  • 1 item master → Auto-connects to 14 solutions
  • Equipment failure → Auto-analyzes production, delivery, material impact
  • 311+ relationships / 834+ business tables / 145+ workflows
  • 3-layer ontology (Platform common → Industry standard → Auto-learning Dynamic Layer)

Apps on the OS — Install only what you need

Like the iOS App Store, Factory OS has apps for 20 industrial domains ready.
Turn on what you need. The OS connects the rest.

★ Key insight:Each app is excellent on its own. But because it runs on the OS, every new app automatically connects with existing ones.

ERP

Resource Mgmt
Key features

Item master · BOM · Sales/Purchase orders · Revenue/Costs · Finance · Pricing

OS auto-connections (3 examples)

Item master → Hub for 14 domains / Orders ←→ Production plans (APS) / Costs ←→ Actual costs (MES)

14 more solutions available
APSPLMSPCLIMSMROCRMHRESGFEMSTMSSecurityGroupwareHACCPCGMP
Technical guide for leadership

Why your factory needs
Ontology and Knowledge Graphs right now

A question for C-suite executives and plant directors:
Does the AI you're evaluating truly understand your 'shop floor context'?

Garbage in, Disaster out: Eliminating AI hallucinations at the source

In the agentic AI era, deploying a simple 'probability-based chatbot' on the shop floor leads to catastrophic hallucinations.

VEXPLOR clearly defines every factory fact (items, processes, defects, etc.) with Ontology. A powerful guardrail that prevents AI from improvising and ensures it only makes autonomous decisions within "safe and verified manufacturing rules."

"What's the impact of this equipment failure on order delivery?"

Traditional RDBMS or simple spreadsheets only accumulate data — they can't trace meaning and context like "Equipment A failure → Process C delay → Product D shortfall → Customer E delivery delay."

VEXPLOR's Knowledge Graph connects 834 tables and 311+ relationships into a multi-dimensional network. It traverses 10 steps in just 1 second to find root causes and generate alternatives.

No need to replace existing systems (Augment, Not Replace)

Adopting a new AI OS doesn't mean discarding stable operational systems (PostgreSQL, etc.). VEXPLOR complements existing transaction-optimized DBs with a knowledge graph engine (Neo4j) specialized for analytics and reasoning. Data is synchronized in real-time (CDC) to the graph network, allowing AI to instantly detect live shop floor dynamics.

International standards built-in

Run your business on verified global standards

Every VEXPLOR industry solution complies with essential international standards and specifications
at the core data model level by default.

Management/Resources

ERP (Enterprise Resource Planning)

Integrates and manages all business processes including production, logistics, finance, accounting, and sales. VEXPLOR ERP supports real-time decision-making through multi-layered data connections.

ISO 9001 (Quality Management System)
View solution details
Production/Manufacturing

MES (Manufacturing Execution System)

Tracks and controls all manufacturing floor activities in real-time, from production planning and work orders to process management and performance recording.

ISA-95 (Enterprise Integration Standard)
ISO 9001 (Quality Management System)
View solution details
Production/Manufacturing

APS (Advanced Planning & Scheduling)

Simulates and optimizes production and material requirement plans under constrained resources and delivery conditions.

SCOR (Supply Chain Reference Model)
View solution details
R&D/Engineering

PLM (Product Lifecycle Management)

Manages data and processes across the entire product lifecycle from planning, design, manufacturing, maintenance, to disposal.

ISO 10303 (Product Data Representation & Exchange)
View solution details
Quality/Analytics

QMS (Quality Management System)

Systematically manages specification control, inspection criteria, nonconformance, and corrective actions to continuously improve product and service quality.

ISO 9001
IATF 16949 (Automotive Quality)
21 CFR Part 11
View solution details
Quality/Analytics

SPC (Statistical Process Control)

Analyzes and monitors manufacturing process data using statistical techniques to identify process anomalies early and support continuous improvement.

IATF 16949 Core Tools
ISO 11462 (Statistical Process Control)
View solution details
Equipment/Infrastructure

EAM (Enterprise Asset Management)

Manages equipment lifecycle through preventive and predictive maintenance, maximizing uptime and preventing unexpected downtime.

ISO 55000 (Asset Management System)
View solution details
Equipment/Infrastructure

FEMS (Factory Energy Management System)

Monitors and analyzes energy consumption of key factory equipment in real-time to maximize energy efficiency and reduce carbon emissions.

ISO 50001 (Energy Management System)
View solution details
Equipment/Infrastructure

Digital Twin

Creates a perfect virtual replica of physical manufacturing sites and equipment for real-time simulation and data visualization.

ISO 23247 (Manufacturing Digital Twin)
View solution details
Logistics/Distribution

SCM (Supply Chain Management)

Optimizes the entire supply chain network from material procurement to final product delivery, reducing inventory costs and maximizing on-time delivery rates.

ISO 28000 (Supply Chain Security Management)
View solution details
Logistics/Distribution

WMS (Warehouse Management System)

Controls all logistics flows within the warehouse from receiving to shipping, optimizing and managing inventory location and quantity in real-time.

GS1 (Global Standard Barcode)
ISO 28000
View solution details
Logistics/Distribution

TMS (Transportation Management System)

Integrates fleet dispatching, route optimization, real-time shipment tracking, and freight settlement to enhance logistics visibility and efficiency.

ISO 28000 (Supply Chain Security Management)
EDI Standards
View solution details
Logistics/Distribution

MRO (Maintenance, Repair & Operations)

Unifies demand planning, procurement, and inventory management for all indirect materials that indirectly support production activities.

ISO 9001 (Quality Management System)
View solution details
Sales/Customer

CRM (Customer Relationship Management)

Integrates the entire customer experience from sales opportunity discovery to orders, contracts, and customer service to maximize revenue.

ISO 10002 (Customer Satisfaction)
GDPR (Data Protection)
View solution details
Management/Resources

HR (Human Resource Management)

Digitizes core HR functions including recruitment, performance evaluation, compensation, and training to maximize organizational talent capability and performance.

ISO 30414 (Human Capital Reporting)
Labor Standards Act
View solution details
Collaboration/Productivity

Groupware (Collaboration)

Supports enterprise-wide communication through electronic approval, email, messaging, and calendar sharing to build a smart work environment.

ISO/IEC 27001 (Information Security)
View solution details
Management/Strategy

ESG (Environmental, Social & Governance)

Systematically measures and reports corporate greenhouse gas emissions, supply chain ethics, and compliance data to support sustainable management.

GRI (Global Reporting Initiative)
ISO 14001
View solution details
Security/Certification

ISMS (Information Security Management)

Comprehensively manages policy establishment, control implementation, and security audits to protect critical corporate information and data assets.

ISO/IEC 27001 (Information Security Management)
View solution details
Quality/Analytics

LIMS (Laboratory Information Management System)

Manages sample tracking, instrument data integration, test procedures, and results in laboratories to ensure quality data integrity and reliability.

ISO/IEC 17025 (Testing & Calibration Competence)
View solution details
Food/Safety

HACCP (Hazard Analysis Critical Control Points)

A system that analyzes potential hazards in food manufacturing processes, establishes critical control points, and ensures safe food production.

ISO 22000 (Food Safety Management)
FSSC 22000
View solution details
Cosmetics/Pharma

CGMP (Current Good Manufacturing Practice)

An environmental control and procedure management system that ensures quality, safety, and efficacy throughout cosmetics manufacturing, packaging, and storage processes.

ISO 22716 (Cosmetics GMP International Standard)
View solution details

In your industry,
this is how it works

Automotive Parts (OEM Supply)

"IATF 16949 audit prep — let the OS handle it instead of Excel"

Apps activated by OS
MES + QMS + SPC + EAM + SCM + ERP
Before
FMEA creation → Manual control plan linking → Separate SPC chart verification → Inspection criteria Excel cross-check → 2 weeks audit material compilation
After
FMEA → Control plan → SPC → Inspection criteria auto-linked by OS. Ask AI "Prepare IATF audit materials" → Auto-configured in 5 minutes

Food/Pharma (HACCP · GMP · CGMP)

"Recall scope assessment: 4 hours → 1 minute. Let the OS handle regulatory audits"

Apps activated by OS
MES + QMS + LIMS + SCM + WMS + HACCP/CGMP
Raw material LOT receiving → Batch production → Finished product shipment — full traceability built into OS. Allergen undetected → AI traces back in 1 minute. 3 recall targets, 4,200 EA auto-identified. HACCP deviation report + regulatory forms auto-generated.

Chemicals/Materials (Batch Process)

"The OS tracks every variable in your batch recipes"

Apps activated by OS
MES + ERP + QMS + FEMS + ESG + SPC
Recipe change → Quality impact → Energy consumption → Carbon emission — entire value chain auto-connected by OS. ISO 50001 energy management + ESG reporting data auto-calculated.

Semiconductor/Electronics

"Don't open 5 systems for yield drop root cause. Ask the OS"

Apps activated by OS
MES + PLM + EAM + SPC + QMS
Equipment→Process→Item→LOT→Inspection relationships auto-analyzed by AI graph traversal. OS resolves equipment data silo problems.

Energy

"The OS auto-traces equipment→energy→product→emissions paths"

Apps activated by OS
FEMS + ESG + MES + EAM + ERP
ISO 50001 energy management + ESG reporting. Scope 1/2/3 carbon emissions auto-calculated. Energy consumption optimization.

Factory OS Subscription Plans

Start with what you need. As the OS grows, AI grows with it.

★ All plans run on the same OS.
Start with Standard and upgrade to Professional — your existing data and AI are fully preserved.
You're not changing the OS, you're turning on features on top of it.

Standard

For department-level adoption in a single plant

100~300K KRW/mo
  • AI levelLevel 1 · Q&A
  • SolutionsSelective install
  • OntologyBasic relationships
  • AI chatBasic
  • WorkflowsBasic
  • No-code canvas
  • Auto deploy
Most popular

Professional

For full-plant system integration

500~1,000K KRW/mo
  • AI levelLevel 2 · Proactive alerts
  • SolutionsAll 20
  • Ontology311+ relationships
  • AI chatAdvanced
  • Workflows145+
  • No-code canvas
  • Auto deploy

Enterprise

For multi-plant and custom app development

2,000~3,000K KRW/mo
  • AI levelLevel 3 · Autonomous decisions
  • Solutions20 + Custom
  • Ontology+ Dynamic Layer
  • AI chatAutonomous
  • WorkflowsCustom
  • No-code canvas
  • Auto deploy

Frequently Asked Questions

No. Factory OS adds a knowledge layer on top of existing systems. It leverages your existing data while providing context that AI can understand.

Is your factory
ready to install an OS?

7 AI experts are ready to run your factory.
See expert agents working with your real data in a 30-minute demo.

VEXPLOR — Install an OS in Your Factory | Manufacturing AI Operating System