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Tenqube
Seoul, South Korea
A
11-50 Employees
2014
Key takeaway
Visual Order offers real-time production-quality labeled data, which is essential for effective data labeling. Their services include financial data labeling and AI-driven customer analysis, enhancing user engagement through innovative solutions.
Reference
Product
Tenqube | Financial Services
Realtime Production-quality labeled data
Annotation AI
Seoul, South Korea
A
11-50 Employees
2020
Key takeaway
The company utilizes advanced semi-automated labeling technology that significantly reduces the time required for data preprocessing. Their automated labeling features can perform tasks like bounding box and polygon segmentation with 70% to 99% accuracy, streamlining the creation of AI training data.
Reference
Core business
Annotation AI
INGRADIENT Inc.
Seoul, South Korea
A
11-50 Employees
2020
Key takeaway
MediLabel is a deep learning-based medical image labeling software that focuses on user convenience. It learns user labeling patterns to quickly label large volumes of medical images and offers features for precise annotation and refinement.
Reference
Product
MediLabel - 제품 - 인그래디언트(주)
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Narnialabs
South Korea
A
11-50 Employees
2022
Key takeaway
Narnia Labs leverages AI-powered Generative Design technology to enhance product development, focusing on design generation, exploration, evaluation, and optimization. Their solutions aim to minimize costs and time, making it easier for businesses to create innovative products through data-driven design processes.
Reference
Core business
Narnia Labs | AI-powered Product Design
FAIR Labs Co. Ltd.
Seongnam-si, South Korea
A
1-10 Employees
2019
Key takeaway
The company, ESG LENS, offers a transformative platform for real-time data analysis and topic modeling, particularly focused on uncovering trends in unstructured text data. Their integration with OpenAI enhances the ability to analyze large volumes of text, making it a valuable tool for monitoring ESG factors.
Reference
Product
ESG Lens | Discover ESG factors in unstructured text data
Transforming ESG Monitoring with GPT powered Data Analytics.
앤트(aaant)
Seoul, South Korea
A
11-50 Employees
2020
Key takeaway
Labnote provides a comprehensive data management solution designed for researchers in the Bio and Nano sectors, facilitating efficient recording, sharing, and visualization of research data. This connected workspace enhances collaboration and automates documentation, ensuring teams can effectively manage and analyze their research from concept to completion.
Reference
Core business
LabNote | Research your way and research better
LabNote is complete research note & data management solution for BT & NT (Bio Tech & Nano Tech) researchers and organizations.
Credential Localization Services Inc.
Seoul, South Korea
A
1-10 Employees
2011
Key takeaway
CREDENTIAL is a language service provider that specializes in high-volume translations, emphasizing their ability to source qualified translators with industry-specific knowledge. This expertise is particularly valuable for projects requiring precise and timely translations, which may be relevant for data labeling efforts.
Reference
Core business
CREDENTIAL Localization Services - An Asian Languages Translation Service Provider
We are a language service provider whose faculty is 100% made up of translators and technicians. Everyone from the CEO to administrative assistants has extensive hands-on experience in the field of translation.
Lockin Company
Seongnam-si, South Korea
A
11-50 Employees
2013
Key takeaway
The company, LIAPP, offers a robust mobile app security solution that includes features such as source code encryption and threat detection, which may be relevant for data labeling in the context of app security.
Reference
Core business
LIAPP | The easiest and powerful mobile app security solution
ust one click for source code encryption and obfuscation,Anti-Tamper,Unity protection,rooting detection, string encryption, etc
NEW ID
Seoul, South Korea
A
1-10 Employees
2019
Key takeaway
The company offers AI Post Production services that automatically detect and manage various media types, enhancing content creation and distribution. Their platform is designed to streamline processes, ensuring compliance with intellectual property rights.
Reference
Core business
Home | NEW ID Main website
NEW ID enables you to create and distribute free, ad-supported streaming TV channels with the best platforms. (FAST/VOD/AI Post Production)
HIL Lab. Inc.
Pohang-si, South Korea
A
1-10 Employees
-
Key takeaway
The company, HILLAB, is led by CEO Tae Jun Yu and Sungyoon Lee.
Reference
Core business
Company – HILLAB
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The Data Labeling industry in South Korea presents various considerations for those researching companies in this sector. First, understanding the regulatory landscape is crucial, as data privacy laws like the Personal Information Protection Act (PIPA) impose stringent requirements on data handling and labeling practices. Companies must ensure compliance with these regulations to avoid legal issues. Additionally, challenges such as managing high-quality data annotation amid a growing demand for machine learning applications can impact operational efficiency. Opportunities abound in South Korea due to its advanced technological infrastructure and a strong emphasis on AI development, which drives the need for accurate data labeling. The competitive landscape includes both local firms and international players, necessitating differentiation through quality, speed, and specialized services. Environmental concerns also come into play, particularly regarding the sustainability of data centers and the energy consumption associated with large-scale data processing. Finally, the global market relevance is significant, as South Korean companies often collaborate with international tech firms, positioning themselves as key players in the global data labeling ecosystem. Understanding these factors will provide valuable insights for anyone looking to engage with the data labeling industry in South Korea.
Some interesting numbers and facts about your company results for Data Labeling
| Country with most fitting companies | South Korea |
| Amount of fitting manufacturers | 8 |
| Amount of suitable service providers | 3 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2011 |
| Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for Data Labeling
What are related technologies to Data Labeling?
Based on our calculations related technologies to Data Labeling are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Labeling?
Start-Ups who are working in Data Labeling are Narnialabs
Which industries are mostly working on Data Labeling?
The most represented industries which are working in Data Labeling are IT, Software and Services, Defense, Marketing Services, Media and Entertainment
How does ensun find these Data Labeling Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.