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Improve Productivity Instantly with AI. 


Transform manufacturing operations from repetitive manual logging and reliance on skilled workers to an AI-driven system that reduces defects, downtime, and waste while improving utilization rates, quality, and energy efficiency.   

AI Quality Management 

Real-time automatic recording and aggregation of quality data AI-driven quality tracking and analytical reports 

Reduced quality response time through automated LOT-level history tracking 

Before Traditional quality tracking relies on manual recording and analysis, consuming significant time and carrying high error risk. 

After  PORTA  

PORTA automatically manages key quality control points, enabling

easy access to production history and AI root cause analysis when defects occur. 

โ–ผ95% 

Quality Management Manual Work 

Man-hour


AI Production Optimization 

Systemizing operational expertise Real-time AI recommendations for optimal conditions 

Systematically eliminating skill-based defect variance 

Before Traditional production methods inevitably result in defect rate variations based on operator skill levels. 

After PORTA 

PORTA provides operators with real-time optimal control conditions for producing quality products. This achieves consistent production quality regardless of operator skill level. 

โ–ผ15% 

Average

Defect Rate 


AI Equipment Maintenance 

Real-time data-driven AI monitoring Root cause analysis and recommended countermeasures 

From checklist-based manual management to

AI-powered monitoring and automated response 

Before Traditional equipment maintenance typically relies on scheduled inspections and reactive repairs, with expert experience being critical for failure analysis. Extended failure analysis time and delayed parts procurement create a vicious cycle of reduced utilization rates. 

After PORTA 

PORTA automatically manages key equipment inspection data and detects anomalies through 24/7 real-time AI monitoring. AI agents then automatically deliver root cause analysis and countermeasures in natural language reports. 

โ–ฒ 25%

Average Utilization Rate 


AI Energy Management 

Integrated analysis of energy, power, and carbon data at factory, building, and equipment levels 

Real-time collection of detailed power information for individual sites, equipment, and lines within factories, providing insights for power savings and efficiency improvements through monitoring, visualization, real-time diagnostics, and inspection services. Build a system that reduces various energy costs within a single platform alongside equipment and production management modules—without additional energy management system deployment—while supporting carbon/energy intensity reduction and greenhouse gas mitigation. 

Key Features  


 • Real-time mapping of power and gas consumption by equipment and zone 

 • Peak alerts when contracted power is likely to be exceeded 

 • Automatic detection of leakage and overconsumption patterns 

 • Simulation of savings and carbon reduction scenarios 

 • Generation of cost savings and emissions change reports 

 • Inspection checklists and scheduled alerts 

 • Usage trend analysis by season and time of day 



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