Your factory still
doesn't have an OS.
PCs have Windows. Smartphones have iOS.
What about your factory?
Why factory AI fails
Your factory has 5 to 12 systems.
Each system works well. But they don't know each other.
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 happens when you
install an OS in your factory
The secret: The OS already knows 311 relationships.
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.
VEXPLOR
AI OS
Integration Engine
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.
SpiPox Co., Ltd.
- 50%+ global SMD market share
- Digital Twin + AI Quality Control + Autonomous Control
Samseung Chemical Co., Ltd.
- Construction materials, Revenue ₩25.4B
- AI/DT Autonomous Control + AAS Standard Platform
AI Personal Assistant Growth Model
From day one, your own AI personal assistant starts working. It grows with your factory.
Assistant Deploy
Each employee gets an AI personal assistant
Proactive Alerts
Your assistant detects anomalies and alerts you first
Plan + Approve
Assistant plans, you approve, it executes
Full Operations
Supervisor agent orchestrates the entire factory
Start at Level 1.
As the OS learns your factory, it naturally evolves to Level 2, 3, 4.
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
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
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.
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.
"There is a correlation between temperature and defects"
"Raise mold temp by 5° and defect rate drops to 0.3%"
"If CNC Machine 3 breaks down, what's the impact?"
Test in the virtual factory first — zero risk to your real operations
AI proposes. Humans decide.
"What if AI acts on its own?" — 5 levels of safety guards.
View
Shows data. AI does not make decisions.
"Current OEE is 87%"
Suggest
Analyzes and recommends. Does not execute.
"Spindle replacement recommended. Reason: ..."
Approved Execution
Requests approval. Executes only when approved.
"PO created → Approval requested → Approved → Executed"
Auto Execution
Auto-executes only within predefined rules.
"Below safety stock → Auto-order (within limits)"
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.
"Buying a solution" vs.
"Installing an OS"
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.
No-Code Canvas
Design tables on the canvas and databases, APIs, and screens are auto-generated. Zero code. 6-stage auto-deployment.
- 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)
Not generic AI. A manufacturing-specific AI trained on 311 business relationships across 20 industrial domains.
- 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
The OS core: A knowledge structure that understands inter-system relationships.
- 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.
ERP
Resource MgmtItem master · BOM · Sales/Purchase orders · Revenue/Costs · Finance · Pricing
Item master → Hub for 14 domains / Orders ←→ Production plans (APS) / Costs ←→ Actual costs (MES)
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.
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.
In your industry,
this is how it works
Automotive Parts (OEM Supply)
"IATF 16949 audit prep — let the OS handle it instead of Excel"
Food/Pharma (HACCP · GMP · CGMP)
"Recall scope assessment: 4 hours → 1 minute. Let the OS handle regulatory audits"
Chemicals/Materials (Batch Process)
"The OS tracks every variable in your batch recipes"
Semiconductor/Electronics
"Don't open 5 systems for yield drop root cause. Ask the OS"
Energy
"The OS auto-traces equipment→energy→product→emissions paths"
Factory OS Subscription Plans
Start with what you need. As the OS grows, AI grows with it.
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
- AI levelLevel 1 · Q&A
- SolutionsSelective install
- OntologyBasic relationships
- AI chatBasic
- WorkflowsBasic
- No-code canvas
- Auto deploy
Professional
For full-plant system integration
- 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
- AI levelLevel 3 · Autonomous decisions
- Solutions20 + Custom
- Ontology+ Dynamic Layer
- AI chatAutonomous
- WorkflowsCustom
- No-code canvas
- Auto deploy
Everything at a glance — Comprehensive Documentation
Don't worry about complex manufacturing systems.
We provide complete documentation guides that anyone can easily understand and apply.
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.