Atech Sejong

Atech Sejong

AI and big data-driven smart factory solutions.

HQ location
Daejeon, South Korea
Launch date
Enterprise value
$21m
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DateInvestorsAmountRound
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KRW12.3b

Valuation: KRW24.6b

Acquisition
Total Funding000k
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Atech Sejong, established in March 2017 and converted to a corporation in August 2018, specializes in providing intelligent customized solutions for smart manufacturing. The company leverages big data analytics, artificial intelligence, and digital twin technology to enhance factory operations. Its core offerings include big data analysis and AI platforms, AI-based convergence smart factories, and digital twin smart city integration platforms.

The company's product portfolio is designed to create new value by predicting future trends through data analysis. This includes the 'Data Physician' for smart factories, an integrated ERP system, and automation solutions. Atech also develops AI solutions like 'Nebula AI' and big data tools such as 'Nubula Bigdata'. For digital twins, the firm provides urban disaster prediction systems. The business model appears to be centered on providing these advanced technology solutions and services to businesses, aiming to support the advancement of smart factories through cloud-based operation management and big data analytics.

Atech has achieved significant milestones, including receiving a Presidential Award, being selected as an 'Ulsan Startup Top 10 Company', and being certified as a fast-growing company in technology evaluation for two consecutive years. The firm has actively collaborated with government-funded research institutes like KISTI and ETRI to advance its technology.

Keywords: smart factory, big data analytics, artificial intelligence, digital twin, smart manufacturing, industrial automation, data analysis platform, manufacturing intelligence, cloud-based operations, urban disaster prediction, AI modeling, data physician, integrated ERP, Nebula AI, Nubula Bigdata, automation solutions, customized solutions, technology services, manufacturing innovation, data-driven manufacturing

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