What does IYULAB do?
IYULAB builds smart factories by connecting equipment and process data with U-MES, U-Bot, U-CMMS, U-QMS, and manufacturing data platforms.
Smart factory · MES · AI solution
Smart Factory
Intelligence Platform
From data collection to AI analysis and control.
Yulab is a company that completes the digital transformation of manufacturing sites.
End-to-End Smart Factory Solution provides.
big data
Industrial AI
Real-time monitoring
Trusted by leading manufacturers
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Why MES?
The core of manufacturing competitiveness,
MES (Production Management System)
MES records and controls all activities at the manufacturing site in real time, from input of raw materials to shipment of finished products.The brain of the smart factoryIt is.
Factory operation used to rely on experience and intuition.Data-based scientific managementSwitch to .
Production planning and work order management
Real-time facility data collection (IoT)
Material receipt/delivery and inventory management (WMS)
Process Quality Inspection and Traceability (QMS)
Equipment preventive maintenance and mold management
Barcode/QR code based logistics tracking
Maximize productivity
Operation rate +20%Real-time facility monitoring and process optimization increase production efficiency and shorten lead times.
Quality Cost Reduction
Defect rate -40%By tracking and analyzing the causes of defects in real time, the cost of quality failure is dramatically reduced.
Secure on-site visibility
Data accuracy 99%Realize a paperless workplace and understand the factory situation at a glance anytime, anywhere.
core competencies
IyuLab’s technology simplifies the complexity of the manufacturing site,
We focus on maximizing the value of your data.
Low-CodeRapid DevCost Efficiency
MDD Architecture
Convert complex business logic into code through modeling alone. Improves development productivity by more than 50% and dramatically reduces maintenance costs.
IoTProtocol Agnostic
Universal Connectivity
It fully supports industry standard protocols such as OPC-UA, Modbus, and MQTT, connecting all assets from legacy equipment to the latest robots.
3D ViewSimulation
Digital Twin
It supports remote monitoring and simulation by implementing physical assets 1:1 in virtual space.
Gen AIPredictive MaintExpert System
Industrial AI Core
Manufacturing-specialized LLM learns equipment manuals and work history, and provides real-time cause analysis and action guidance in the event of a failure.
On-PremiseEncryption
Edge Security
We provide an on-premise security architecture that prevents external leakage of field data.
Stream ProcessingAnomaly Detection
Real-time Analytics
Collected data is analyzed in 0.1 second increments to immediately detect process abnormalities.
KubernetesDockerScalability
Cloud Native
It guarantees flexible scalability based on MSA and supports both private and public cloud environments.
integrated solution
We provide end-to-end solutions for digital transformation of manufacturing sites.
core product
From data collection to visualization, discover powerful tools.
About IYULABThe future of manufacturing intelligence
View About Us
The future of manufacturing intelligence
We are making it
IU Lab is a technology company that leads innovation in the manufacturing industry through data technology and artificial intelligence. We listen to voices from the field and create the most practical and powerful solutions.
innovation
trust
cooperation
"Technology for better manufacturing"
IYULAB FACTORY AI
Manufacturing intelligence
for real operations
for real operations
MESAI BotCMMSData Lake
150+field projects
24/7operation data
Let's Build Together
Yulab always welcomes new challenges.
We will be your manufacturing innovation partner.
Quick Answers
Key answers about IYULAB and smart manufacturing
Concise answers to the questions manufacturers ask most often before implementation.
Which manufacturing problems does IYULAB solve?
We address production and inventory tracking, quality history, equipment maintenance, shop-floor knowledge search, and fragmented equipment data.
How does an implementation start?
We first review equipment, workflows, available data, and existing systems, then define a phased scope around the highest-priority processes.