{"type":"img","src":"//cdn.quv.kr/uelsdw2uu/up/60479053e9e41_1920.gif","height":"60"}
  • ABOUT
  • SERVICES
  • SOLUTIONS
  • CASE STUDIES
  • CONTACT
    • {"google":["Raleway","Lato"],"custom":["Noto Sans KR"]}
    LOGO
    ×
     
     
    섹션 설정
    {"type":"img","src":"https://cdn.quv.kr/uelsdw2uu%2Fup%2F5fd4b4cf89a0a_1920.gif","height":"40"}
  • ABOUT
  • SERVICE
  • RESEARCH
  • CONTACT

    • MISSION STATEMENT

    ATTIC Inc.

    Our mission is to help customers make better decision.

    We Are

     

    "ATTIC” reflects our humble beginnings and our commitment to insight.

    We started in a small space–like an attic. However, we strive to grow into a company that brings positive impact to the world around us.

    The word also symbolizes the human mind, where knowledge and intelligence reside. Through data-driven insights, we empower our clients to make their best decisions.

    Our Strength

     

    With deep expertise and experience in a wide range of manufacturing processes, including petrochemicals, chemicals, and semiconductors, ATTIC has successfully carried out data analysis projects using AI over the past several years.

    In particular, we are actively engaged in ongoing, in-depth research in fields such as environment, safety, and healthcare. As a social venture, our mission is to create social value and provide meaningful services in these areas.

    History

    2023 ~ 2025

    2025

    - K-water Collaboration Project (Gumi Regional Office, Jan 2025 ~ Dec 2025)

     • Developed an anomaly detection model for the coagulation process in water treatment plants.

     • Developed an algae detection model based on machine vision (On going)

     • Jointly filed for intellectual property rights related to water purification processes

     

    - Data Analysis Projects (DT/DX, 2025. 10 ~)

     • Predictive quality management and optimization of manufacturing processes (S company)

     

    2024

    - Selected as K-water's 18th Cooperative Startup (2024. 11 ~ 2026. 10)

     • Conducting a PoC project with K-water Gumi Regional Office :
        Developing an anomaly detection model for the coagulation process in water treatment plants

     

    - Selected for Startup Jump-up Package : SK Innovation Egg 4th Batch (2024. 05 - 2025. 02) 

     • Developed a waste plastic sorting and monitoring solution using machine vision technology

     

    - Executed Data Analysis and Serviceization Projects

     • Paper manufacturing process (H company)

     • Developed a service model using social data (G company)

     

    - Venture Business Certification (2024. 11. 20)

     

    - Published ESG Management Practice Plan and Impact Report

     • Issued an IMP-based Impact Report for evaluating the social value of our solutions.

     • Established an ESG management practice plan and social mission

     

    2023

    - Data Voucher Project (2023. 06 ~ 11)

     • Analyzed flocculation efficiency in the water treatment plant's pollutant coagulation process through image analysis

     

    - Service Quality Improvement Project (2023. 11 - 2024. 02)

     • Implemented predictive quality management for the procurement and distribution process (A company)

     

    2021 ~ 2022

     2022

    - Data Analysis Projects (2022. 03 ~ 12)

     • Prediction modeling for the consistency of Formaldehyde in BYD production line

     • Prediction modeling of NOx level in NEP production process

     

    - Education & Mentoring (2022. 05 - 12)

     • PBL (Project Based Learning) mentoring

     • SK Siltron / SK Chemical 

     

    2021

    - Establishment of ATTIC Inc. (2021. 09. 10)

     

    - Signed MOU with POSTECH

    • Joint research on developing an anomaly detection algorithm using microbial DNA data analysis

     

    - Secured a government-funded research project from KETEP 

    • Development of an operational optimization algorithm for biogas plants using bacterial DNA analysis data (₩700 million / 3 years)

     

    - Data Analysis Projects (2021. 10 ~ 12)

     • Run length prediction and productivity improvement through catalytic analysis 

      • Prediction and reduction of NOx emissions via optimal operating condition modeling

     

     

    Our Team

    Machine learning, AI, and the supporting IT technologies are evolving and advancing at a rapid pace. Every day, numerous new research papers are published, and countless pieces of source code are shared on repositories like GitHub.

    Attic Inc.’s data scientists and IT researchers dedicate significant time and effort to reviewing, refining, and adapting these emerging technologies to ensure they are applied reliably in real-world business environments.

    "For the kingdom of heaven is like a landowner who went out early in the morning to hire workers for his vineyard."

    - Matthew 20:1 -

    {"google":["Raleway","Lato","Noto Sans","Open Sans","Lexend Deca"],"custom":["Noto Sans KR"]}{"google":["Raleway","Lato","Open Sans","Noto Sans","Lexend Deca"],"custom":["Noto Sans KR"]}

    ATTIC@ATTICLAB.KR　ALL RIGHTS RESERVED.

    ATTIC lnc.

    Taxpayer identification number : 149-81-01133

    CEO : Seheon Hwang

    Address : A-1007A, Jongro 19, Jongro-gu, Seoul, Korea

     

    ATTIC

    회사 소개 ｜ 이용약관 ｜ 개인정보취급방침 ｜ 제휴문의
    COPYRIGHT (C) ATTIC. All Rights reserved

    {"google":["Noto Sans","Lexend Deca"],"custom":["Noto Sans KR"]}