A Global Process Optimization AI Company Transforming Simple Data into Valuable Information

Empowering Industrial Processes by Combining Vast Engineering Knowledge with AI Technology.

CEPiEL realizes innovation in industrial processes through rich knowledge of modern industrial operations and cutting-edge AI technology.

We support companies in making faster and more accurate decisions by performing prediction, analysis, and optimization based on process data. We simplify complex technologies and transform data into actionable results.

Combining the latest theories with hands-on field experience, we provide practical solutions validated in large-scale facilities.

Process Innovation Solutions Built by Top-tier Experts

A core research team led by Chemical Engineering professors - with over 30 years of experience at global firms in process design, modeling, and optimization - delivers Digital Twin solutions tailored to each company's unique needs.

Solutions Validated in Large-scale Facilities

Successful implementation and performance validation in high-complexity operational environments for companies such as LG Chem, Samsung Heavy Industries, GS E&C, and SK Nexilis (15+ cases).

Demonstrating immediate ROI through proven reductions in energy consumption, costs, and carbon emissions.

From an Ever-burning Lab to a Company Changing the World

2026 1H

Certified as a Venture Business (Innovative Growth Type)

Launched of CEPiPM™, a Mathematical Process Modeling Solution

Launched of CEPiDTS™, a Process Digital Twin Solution

Milestones

2025

Launch of CEPiML™ AI Platform (On-premise, Cloud)

Selected for AWS Activate for Startups

Selected for the '25 Lab-specialized Startup Hub University program

2024

Establishment of CEPiEL

Selected for the '24 Lab-specialized Startup Hub University program

Enhancement of CEPiPrOPT™, a Process Prediction AI Model

2020

Development of CEPiPrOPT™, a Process Prediction AI Model

2012

Establishment of CEPi Lab

Sean Hwang Professor

CEO, Founder

Professor of Chemical Engineering at Inha University

Engineering Council Chartered Engineer, UK

Ph.D., Univ. of Manchester (UMIST), UK

30+ years of expertise in Process Design, Modeling, and Optimization

Led 28 industrial projects and published 60+ academic papers

Co-developer of CEPiML™

Project Management (PM) for CEPiDTS™

Ex: GS E&C, AspenTech UK, UOP US (Formerly Honeywell)

CEPiEL Team

G. Dela Quame Ph.D

CTO, Lead AI Specialist

Research Professor at Inha University (Chemical Engineering)

Expert in AI model development and process data analysis

Co-developer of CEPiML™

Lead practitioner for CEPiDTS™

Deep Tech Team

20+ Researchers
(Ph.D. & Master's Degrees)

Hands-on expertise utilizing Python, MATLAB, Aspen, OpenFOAM, and proprietary development tools.

Deep expertise that transcends "black box" solutions, encompassing both physics-based understanding and AI integration.

Paul Cho

CMO, Co-Founder

CEO of KhaiEL Group

Led numerous international investment attractions and JV establishments

Extensive experience in startup incubating and management consulting

Ex: Lanxess Korea (Formerly Bayer), Hyosung TNC

Ha-cheong Song

Standing Advisor

Visiting Professor of Chemical Engineering Department Inha University

36+ years expertise in Plant EPC Business (Sales, Corporate Strategic Planning, Project Management, Engineering)

Ex: GS E&C

Hee-young Cho

Operation Manager

Ye-jin Kim

Project Mananger

Geon-ha Park

Software Engineer

Eugine Park

Marketing Manager

Hong-ki Lim Professor

Standing Advisor

Professor of Electrical and Computer Engineering at Inha University

AI Specialist

Ph.D. from the University of Michigan

Ex: Siemens Healthineers, Samsung Electronics

Email. cepiel@cepiel.kr

In the Age of AI, Experience Innovative Process Improvement with CEPiEL.

South Korea (HQ & Domestic Sales)
+82 70 4136 9025

#310, Inha Dream Center, 100 Inha-ro, Michuhol-gu, Incheon, Republic of Korea, 22212

Germany (Global Sales)
+49 6202 9506 010

Carl-Benz-Straße 5, 68723, Schwetzingen, Germany