ulalaLAB

www.ulalalab.com

ulalaLAB is a South Korean startup company specializing in IIoT, SaaS and Machine Learning technologies, that develops, manufactures, and sells affordable and easy to implement IoT Smart Factory platform with AI based industrial big data analytics for small and medium size enterprise manufacturers both in Korea and abroad. We are dedicated to address issues that industries, people and society face every day by providing cost effective, easy to implement solutions that effectively combine innovative technologies with ‘human’ at the center of everything. We emphasize on importance of connected technology in human and machinery daily work balance with people and businesses conveniently utilizing our solutions to perform better more informed decisions. Our Smart Factory Platform a 'WimFactory' is a simplified solution that conveniently & cost effectively transforms SME factories into Industry 4.0 standards 'in minutes not month' by simply installing one or few of self-developed IIoT Devices 'Wicon' that works in a principal of plug & play technology. And jointly with Cloud Platform and Machine Learning capabilities enable factories to gain instant access to real time data by capturing, analyzing and displaying operations data from all types of sensors surrounding production line, even from old and outdated equipment, as a result significantly increasing quality control over factory operations - all without changing existing production line equipment and process or retraining employees and staff. R&D & Business Partners: UNIST (Ulsan National Institute of Science and Technology), Sogang University (Institute of Mathematics), NIPA (National IT Industry Promotion Agency), Tata Group, Hanhwa Power Systems, Penta Security, Atlas Copco, Sisco, BMT Co Ltd and more. Main Customers: Nike, Adidas, Atlas Copco, Hanhwa Power Systems, Nitto, Humax, Shieldboard, Polychemie and more. WimFactory Page - http://www.wimfactory.com/index_v2_en.html

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ulalaLAB is a South Korean startup company specializing in IIoT, SaaS and Machine Learning technologies, that develops, manufactures, and sells affordable and easy to implement IoT Smart Factory platform with AI based industrial big data analytics for small and medium size enterprise manufacturers both in Korea and abroad. We are dedicated to address issues that industries, people and society face every day by providing cost effective, easy to implement solutions that effectively combine innovative technologies with ‘human’ at the center of everything. We emphasize on importance of connected technology in human and machinery daily work balance with people and businesses conveniently utilizing our solutions to perform better more informed decisions. Our Smart Factory Platform a 'WimFactory' is a simplified solution that conveniently & cost effectively transforms SME factories into Industry 4.0 standards 'in minutes not month' by simply installing one or few of self-developed IIoT Devices 'Wicon' that works in a principal of plug & play technology. And jointly with Cloud Platform and Machine Learning capabilities enable factories to gain instant access to real time data by capturing, analyzing and displaying operations data from all types of sensors surrounding production line, even from old and outdated equipment, as a result significantly increasing quality control over factory operations - all without changing existing production line equipment and process or retraining employees and staff. R&D & Business Partners: UNIST (Ulsan National Institute of Science and Technology), Sogang University (Institute of Mathematics), NIPA (National IT Industry Promotion Agency), Tata Group, Hanhwa Power Systems, Penta Security, Atlas Copco, Sisco, BMT Co Ltd and more. Main Customers: Nike, Adidas, Atlas Copco, Hanhwa Power Systems, Nitto, Humax, Shieldboard, Polychemie and more. WimFactory Page - http://www.wimfactory.com/index_v2_en.html

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Country

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City (Headquarters)

Anyang-si

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Employees

11-50

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Founded

2011

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Estimated Revenue

$1 to $1,000,000

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Social

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  • Chief Executive Officer

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  • Product Manager

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  • Senior Data Engineer

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  • Account Relationship Manager

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