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도그우드에이아이
AI Solution for a Manufacturing Plant
#AI#소프트웨어#R&DD#ML Tech
thumbnail
도그우드에이아이
AI Solution for a Manufacturing Plant
#AI#소프트웨어#R&DD#ML Tech
위치
서울 서대문구
서비스 분야
AI ‧ 스마트팩토리 ‧ 생산자동화
투자 단계
-
finance누적 투자 유치액
비공개
account-group-outline전체 / 개발자
4명 / 3명(CTO 있음)
해결하는 문제창업 스토리투자 정보팀원을 위한 노력보상 및 복지팀 문화채용설명회위치
해결하는 문제

Using client data and domain knowledge, DogWoodAI solutions offer process optimization, operating data review and safety analysis derived from data analysis.

We have successfully developed an AI solution for real-time prediction of product quality and yield in manufacturing plants.

https://groupby-public-image.s3.ap-northeast-2.amazonaws.com/startups/782/1726068973/도그 1.jpg
창업 스토리
Q. 도그우드에이아이 어떻게 창업되었나요?

In the petrochemical industry, several licensors possess the original design technology for producing the same products worldwide. Consequently, many companies import this technology and apply it similarly. However, companies may modify their operation process based on the feed stock, market demand, and business policy.


Operation strategy, including consistency of quality, stability of the process, and efficiency of operation, significantly impacts the rate of return for oil refining and petrochemical companies. Nevertheless, rising labor costs, difficulties in supplying and deploying field engineers, and increasing competition from rival companies require higher operational competitiveness.


To address this challenge, understanding and predicting the operating conditions of the process and the real-time process situation is crucial. However, price fluctuations of raw material and product material according to market conditions changes result in significant errors in operation forecasts, causing serious losses. To minimize these errors, machine learning-based software for process prediction will be developed and provided as a solution for processes with highly volatile raw materials and operational instability.

Q. 도그우드에이아이 어떤 회사인가요?

DogWoodAI was established on November 9, 2022, to actualize the vision of AI autonomous manufacturing plants.


In manufacturing plants, product yield and quality significantly impact company revenue. DogWoodAI's flagship is a personalized AI solution meeting each client's distinct requirements and plant characteristics. The AI solution utilizes client data and domain knowledge for precise performance. Upon request, we offer process optimization, operating data review and safety analysis derived from data analysis.


The AI solution excels in manufacturing, especially in complex sectors. Crafted with a deep understanding of client production technology, it seamlessly integrates with their unique environment. It optimizes predictive accuracy and operating parameters, tailored for specific business contexts.


DogWoodAI has successfully developed an AI solution for real-time prediction of product yields in manufacturing plants, enhancing competitiveness by improving productivity and operational stability.


In a broader sense, DogWoodAI's AI solution has the potential to be a cornerstone in successfully realizing smart factories in the industrial manufacturing sector.

Q. 현재까지 성과가 궁금해요

4년 플래티넘 기술투자 투자 2억

- 정부지원사업: 디딤돌, TIP 선정 완료

- 매출: 23년 2.2억

Q. 도그우드에이아이 그리는 미래, 비전이 궁금해요

The vision of DogWoodAI is to actualize AI autonomous manufacturing plants.

Q. 어떤 분을 찾고 계신가요?

Let's work with us to verify the short-term, mid-term, and long-term applications of AI & ML solutions in the field.

보상 및 복지
Q. 복지가 궁금해요

팀 문화
Q. 어떤 분들과 일하는지 궁금해요
Chang-Ha Lee CEO
Chang-Ha Lee (M) is a Distinguished Professor in the Department of Chemical and Biomolecular Engineering at Yonsei University, Korea. He served as Vice-President of Planning and Management from 2018 to 2020 and has been serving a director of The Next-Generation Converged Energy Materials Research Center (CEMRC) since 2012. He also served as President of The Korean Institute of Chemical Engineers (KIChE) in 2022. His research activities include: (i) Process intensification and simulation (ii) Multi-scale modelling using steady-state and dynamic simulation for units and processes (iii) Machine learning for chemical processes (model-based ML, physics-based ML, data-driven ML). He has successfully supervised 47 PhD students and 108 MS students. He has authored/co-authored more than 350 publications in refereed international journals in 2023. He holds patents in the fields of adsorbents, reactors, and processes, and three technologies were transferred to companies. His works were recognized by many awards such as the PSE model-based innovation prize, award from prime minister of Korea, etc. He is a fellow of the Korean Academy of Science and Technology (KAST), a member of The National Academy of Engineering of Korea (NAEK) and a fellow of International Adsorption Society (AIS).
Min Oh CTO
Min Oh (M) is a seasoned professional in the Department of Chemical & Biomolecular Engineering at Hanbat National University, Korea. After obtaining his Ph.D. from Imperial College, UK, in 1993, he worked as a Technical Consultant at IC Consultant in UK from 1995 to 1996, and as a Chief Engineer at LG Engineering in Korea from 1996 to 1998. Beyond academia, Professor Oh has actively contributed to shaping national policies and strategies. Serving as a Member of the National Science & Technology Council and the Presidential Committee on Balanced National Development from 2003 to 2005 reflects his dedication to broader societal advancements. His influence extended further as a Member of the Presidential Advisory Council on Science & Technology from 2005 to 2007. His research activities include: (i) Fluid Dynamics: Crystallizer, Water Gas Shift Reactor (ii) Process Simulation and Optimization: Combined Cycle Power Plant, Gasifier (iii) Application of Machine Learning: Emission Gas Prediction, Hydrocracker AI (iv) Defense Science and Technology: Solid Propellant, Waste Explosive Incinerator
위치
서울 서대문구 연희로 81-5, 4층 F05호
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