A Digital Twin Solution that Goes Beyond Process Improvement to Drive Corporate Value Innovation.

CEPiDTS™

An integrated Digital Twin solution that simultaneously achieves operational, financial, and ESG excellence by combining process modeling, custom AI development, and real-time monitoring.

Technological Edge

red and white tower under blue sky during night time

The Most Advanced Process Optimization Solution,
CEPiDTS™

CEPiDTS™ is an end-to-end digital twin solution that replicates real-world processes digitally by combining three modules - CEPiPM™, CEPiML™, and CEPiMS™ - to simultaneously perform prediction, optimization, and monitoring.

Cost Optimization

Low CapEx

Flexible, step-by-step application to specific processes through a modular service model.

Minimization of initial investment costs compared to conventional systems.

Performance Prediction & Predictive Maintenance

Minimization of downtime through accurate maintenance timing predictions.

Reduction of process waste through optimal condition forecasting.

Quality Optimization

High-Quality Process Design

In-depth process analysis and AI modeling strategies provided by experienced M.S. and Ph.D. researchers.

Precision analysis reports for top-tier executive decision-making.

High-Accuracy Custom AI

Customized AI models engineered specifically from actual plant data.

Achievement and maintenance of target quality standards.

ESG Excellence

Energy & Carbon Mitigation

Simultaneous reduction of energy consumption and carbon emissions through process optimization.

Establishment of a sustainable process environment in response to ESG requirements.

Scientific Decision Support

Provision of scientific evidence for decision-making based on accurate AI prediction results.

Affordable Digital Twin Solutions
Tailored to Your Business Scale

5-Level Architecture Specialized for Chemical Process Domains
End-to-End Industrial AI Digital Twin

CEPiDTS™ Interface Showcase
Implementation in Utility Systems

CEPiDTS™ Dashboard
P&ID live status · Optimal operation model comparison · Savings effects · Model accuracy · Next-generation Data Reconciliation

1,575× Faster Inference
Compared to CFD
Trained on 1,284 cases using PINN + LSTM + openFOAM

Display of AI-Recommended
Optimal Setpoints
Current operating conditions vs. ML-optimized conditions: View potential savings on a single screen

Unified Dashboard Accessible
from Anywhere in the Plant
Mobile · Tablet · Web · iOS · Android:
Operator + Engineer Live

CEPiDTS™ Dashboard in Action

Practical Process Improvement Solutions
Supporting Rational High-level Decision Making

LNG Liquefaction Process
(S-Company · 1 yr 6 mos)

Digital process twin model error rate: 1.25%

Real-time validation completed for pilot plant

Overcoming limits of manual simulation — Enabling real-time response structure

5.25%
Energy Reduction

97%+ Detection Accuracy

Petrochemical Distillation Tower Fouling
(L-Company · 1 yr)

Predictive maintenance: Performance degradation forecasted up to 7 days in advance

Optimal operation control: 14.6% efficiency improvement

Secured 38h+ of additional stable operation time

$8.5M+ (₩11B) Annual Savings

Utility System Optimization
(L-Company · 2024-25)

External power savings: $6.3M (₩8.2B) per year

External MP steam savings: $2.2M (₩2.8B) per year

Carbon credit cost reduction: $0.8M (₩1B) per year

Process Modeling

A solution that mathematically models processes to provide a precise understanding of process structures and behaviors.

A machine learning platform that supports data-driven, scientific decision-making through prediction and optimization based on collected in-process data.

A service that visualizes real-time data on a dashboard, enabling instant status assessment and immediate response to process conditions.