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Your Great Troubleshooter 

Solution chosen by  Top tier manufactures

Can you afford to wait for a breakdown?  

Across many production sites, robot failures remain frequent and disruptive. When a single robot stops, entire production lines can grind to a halt. If root causes are not identified quickly, downtime multiplies. In some factories, these interruptions occur several times a day, undermining daily output targets and eroding operational stability.

The burden falls most heavily on frontline workers. 

To recover lost production time, overtime becomes routine, breaks are shortened, and rotating shifts intensify. Over time, fatigue and inefficiency increase, contributing to a growing reluctance among workers to remain in manufacturing roles.

Automation, in other words, has not eliminated human stress—it has often redistributed it.

According to a survey, unplanned downtime in automotive lines costs $22,000 per minute. 

Can you afford to wait for a breakdown?

Our validated  technolgogy

QNT’s core concept, known as RAME—Responsible Autonomous Manufacturing Execution—points to a more pragmatic future for Manufacturing AI. Rather than focusing solely on automation, RAME integrates AI directly with physical systems such as robots and equipment. It enables real-time diagnosis of failures, identification of bottlenecks, and detection of quality risks. 


Crucially, it also reframes AI’s role. The objective is not just smarter analysis, but shared accountability—AI systems that support production managers by acting decisively when problems arise, rather than merely reporting them after losses have already occurred.

Approach and Methodology

Deep understanding

With over 30 years of experience trying to solve on-site problems manufactures deeply worry about, we are designed to focus more on real manufacturing environments rather than theoretical models.

First-hand insight

We understand your challenges that Operators and maintenance engineers are struggling with rising spare parts and maintenance costs, unexpected production line downtime.

Seamless Integration

Our members with extensive knowledge of robot mechanics and industrial equipment combine long-standing field expertise with accumulated operational data.

Robot health diagnostics solution proven by UR, Hyundai, Kia

In Ulsan, Korea’s industrial capital, 

QNT Co., Ltd. started and has built a business around diagnosing and resolving real-world production failures. 


QNT is the global provider of robot diagnostic solutions for Universal Robots, the world’s largest collaborative robot manufacturer. Its technology is already deployed in major factories (from tier 1 supply to tier 3 supply) operated by Hyundai Motor, Kia, and at Hyundai’s advanced Georgia plant(HMGMA) in the United States.

Product lines

Using world-class manufacturing process AI, our products allow workers to easily identify the root causes of downtime they face on a daily basis.
They provides an intuitive and user-friendly UI/UX that can be shared by on-site operators, process managers, and executives, enabling them to work together with a common view.

Q-Robot

AI-based robot condition monitoring and predictive diagnostics for robotics in lines can help you continuously check robot health and detect early signs of failure before breakdowns occur.

Q-Factory

Integrated factory and process monitoring for production optimization brings up not only improved production stability and throughput, but also enhanced product quality.

Q-managex

The system enables real-time monitoring of robotic automation processes, including robot health checks, error alerts, expected lifespan, and performance efficiency.

History


2025: A New Leap Forward 


Nov 2025 - Awarded and presented at the NIPA Partners Day IR Event


Nov 2025 - Began SaaS development for QNT’s Manufacturing AI Solutions in collaboration with Naver Cloud


Oct 2025 - Built Q Vision Manufacturing AI Inspection Solution for Kyunglim Tech


May 2025 - Built Q Robot and Q Factory Manufacturing AI Solutions for Woosoo Electric


Jan 2025 - Expanded implementation of Q Robot and Q Meta Manufacturing AI Solutions at Hyundai Motor Group  Manufacturing America (HMGMA)


Jan 2025 - Expanded deployment of Q Factory and Q Meta at Osstem Implant

2024: Global Expansion and Advanced System Deployment 


Dec 2024 – Provided Q Robot online training to Hyundai Motor Company


Dec 2024 – Provided Q Factory offline training to Osstem Implant


Nov 2024 – Built the Q Factory System at Osstem Implant


Nov 2024 – Built the Q Robot System at Hyundai Motor Company


Jun 2024 – Built the Q Robot System at BOE Technology Group

2023: Technological Innovation and Achievements 


Dec 2023 - Successful Proof of Concept for the Q Robot PHM System at Hyundai Motor Company


Dec 2023 - Successful Proof of Concept for the Q Factory OEE System at Osstem Implant


Aug 2023 - Successful Proof of Concept for the Q Robot PHM System at Hyundai Robotics


Aug 2023 - Supplied training equipment to Korea Polytechnic University


Jul 2023 - Acquired GS Grade 1 Certification for Q Robot v3.0


May 2023 - Participated in the KINTEX International Machinery Expo


Feb 2023 - Participated in MWC Barcelona, Spain

2021–2022: Product Launches and Growth 


Dec 2022 - Invited to a seminar hosted by the Korea Institute for Robot Industry Advancement (KIRIA) on the “Robot Integrated Control System”


Aug 2022 - Launched Q Robot, Q Factory, and Q Meta solutions


Jul 2022 - Certified for Robot Data Collection and Processing Performance Tests


Dec 2021 - Launched the Q Box Edge Server


Oct 2021 - Certified for Q Robot AI Performance Tests


Apr 2021 - Registered as a Global Partner with Universal Robots (Denmark)

2019-2020: Major Certifications and Expansion 


Oct 2020 - Pre-Series A investment (from Seoul Techno Holdings, Inc.)


Apr 2020 - Certified as an AI Voucher Supplier by the National IT Industry Promotion Agency


Nov 2019 - Acquired GS Grade 1 Certification for Software Quality


Sep 2019 - Business agreement on development of industrial robot platform (with POSCO ICT)

2015–2018: Early Achievements and Growth

Dec 2018 - Software Quality GS 1st Grade certification (by Telecommunications Technology Association of Korea)


Nov 2017- Software Industry Development Award winner (by National IT Industry Promotion Agency)


Nov 2016 - Selected for Foreign Investment Promotion Project (by Korea Trade-Investment Promotion Agency)


Jun 2016 - Robot diagnostics and mixed reality technology development (with National IT Industry Promotion Agency)


Apr 2016 - Venture Business certification (by Korea Venture Capital Association)


Oct 2015 - Seed money investment (from Coolidge Corner Investment)


Aug 2015 -  Established QNT Co., Ltd.


Clients

Proven Results & Customer Value


QNT’s solutions are fully commercialized and have been successfully deployed at leading global manufacturers.


Your Great troubleshooter

Solution chosen by Top tier manufactures





Can you afford to wait for a breakdown?  

Across many production sites, robot failures remain frequent and disruptive. When a single robot stops, entire production lines can grind to a halt. If root causes are not identified quickly, downtime multiplies. In some factories, these interruptions occur several times a day, undermining daily output targets and eroding operational stability.

The burden falls most heavily on frontline workers. 

To recover lost production time, overtime becomes routine, breaks are shortened, and rotating shifts intensify. Over time, fatigue and inefficiency increase, contributing to a growing reluctance among workers to remain in manufacturing roles. Automation, in other words, has not eliminated human stress—it has often redistributed it.


According to a survey, unplanned downtime in automotive lines costs $22,000 per minute. 

Can you afford to wait for a breakdown?


Our validated technology 

QNT’s core concept, known as RAME—Responsible Autonomous Manufacturing Execution—points to a more pragmatic future for Manufacturing AI. Rather than focusing solely on automation, RAME integrates AI directly with physical systems such as robots and equipment. It enables real-time diagnosis of failures, identification of bottlenecks, and detection of quality risks.

Crucially, it also reframes AI’s role. The objective is not just smarter analysis, but shared accountability—AI systems that support production managers by acting decisively when problems arise, rather than merely reporting them after losses have already occurred 


 

Approach and Methodology 

Deep understanding


With over 30 years of experience trying to solve on-site problems manufactures deeply worry about, we are designed to focus more on real manufacturing environments rather than theoretical models.

First-hand insight


We understand your challenges that Operators and maintenance engineers are struggling with rising spare parts and  maintenance costs, unexpected production line downtime.

Seamless Integration


Our members with extensive knowledge of robot mechanics and industrial equipment combine long-standing field expertise with accumulated operational data.

The Robot health Diagnostics solution 

proven by UR, Hyundai, Kia

In Ulsan, Korea’s industrial capital, 

QNT Co., Ltd. started and has built a business around diagnosing and resolving real-world production failures. 


QNT is the global provider of robot diagnostic solutions for Universal Robots, the world’s largest collaborative robot manufacturer. Its technology is already deployed in major factories (from tier 1 supply to tier 3 supply) operated by Hyundai Motor, Kia, and at Hyundai’s advanced Georgia plant(HMGMA) in the United States.

Most clients experience                                         

20-40% reduction in unplanned downtime                 

Most clients experience                                    

                  15-30% decrease in maintenance                           

and spare parts costs                                              


Most clients experience                               

ROI achieved within 6 - 12 months                   



Product lines

Using world-class manufacturing process AI, our products allow workers to easily identify the root causes of downtime they face on a daily basis.
They provides an intuitive and user-friendly UI/UX that can be shared by on-site operators, process managers, and executives, enabling them to work together with a common view.

Q-Robot


AI-based robot condition monitoring and predictive diagnostics for robotics in lines can help you continuously check robot health and detect early signs of failure before breakdowns occur.

Q-Factory


Integrated factory and process monitoring for production optimization brings up not only improved production stability and throughput, but also enhanced product quality.

Q-managex


The system enables real-time monitoring of robotic automation processes, including robot health checks, error alerts, expected lifespan, and performance efficiency.

History

Clients

QNT’s solutions are fully commercialized and have been successfully deployed at leading global manufacturers.

Email: info@qnt.co.kr

Phone: +82 52-700-9686     

Opened: Mon - Fri (GMT+9) 09:00 - 18:00

               Sat/Sun - Closed for Public Hoilday

QNT Co., Ltd 44428, #502, 362-11, Jongga-ro, Jung-gu, Ulsan, Korea 

Mr. Jae-Eun Kim, CEO of QNT

Mr. Jae-Eun Kim, CEO of QNT, has been leading the development of industrial robots and automation systems since 1997, beginning his career at Hyundai Heavy Industries Co., Ltd., Engine & Machinery Division. His expertise spans 6-axis articulated robots, Cartesian robots, gantry robots, robotic hands, multi-axis carriages, and handling & welding automation systems.


He has spearheaded the development of intelligent welding integrated management systems for Hyundai Motor Company and more than 20 automotive parts suppliers, as well as AI-based robot monitoring systems for major global robot manufacturers including Universal Robots, Yaskawa Electric, Kawasaki Robotics, and Hyundai Robotics. His work also includes the implementation of robot and equipment efficiency optimization management systems for Osstem Implant, and most recently, the establishment of a predictive maintenance system for robot automation processes at Hyundai Motor Group Metaplant America (HMGMA) in Georgia, USA.

With nearly 30 years of experience, Mr. Kim is regarded as one of Korea’s most veteran and respected experts in industrial robotics and automated manufacturing processes.

In addition to his industrial achievements, he has served as an advisor and professor for both domestic and international academic institutions and organizations in the field of robotics.


As of 2026, he possesses a rare combination of deep domain knowledge in robotics engineering, software engineering, and automation processes, integrated with advanced artificial intelligence technologies accumulated through decades of hands-on experience. He is widely recognized as one of Korea’s leading experts in industrial automation and software engineering.

Hyundai Motor Group Metaplant America

2025 Execellent Company Award, NIPA

All QNT solutions are built on close communication with workers and managers on the manufacturing floor.
Based on deep domain knowledge and hands-on expertise in automated manufacturing processes, QNT focuses on robot diagnostics, one of the most critical operational roles within automation workflows, to deliver highly optimized diagnostic solutions.


In recognition of this technological excellence, QNT was recently awarded the Outstanding Company Award by NIPA in 2025.

Activities & Achievements

More

    Email: info@qnt.co.kr   |   Phone: +82 52-700-9686     

    Opened: Mon - Fri (GMT+9) 09:00 - 18:00

                   Sat/Sun - Closed for Public Hoilday

QNT Co., Ltd 44428, #502, 362-11, Jongga-ro, Jung-gu, Ulsan, Korea