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Narnialabs
South Korea
A
11-50 Employees
2022
Key takeaway
Narnia Labs leverages deep learning through its AI-powered Generative Design technology, which aids in generating and exploring diverse product designs. This approach not only enhances design productivity but also minimizes development costs and time.
Reference
Core business
Narnia Labs | AI-powered Product Design
Algorithm LABS
Seoul, South Korea
A
1-10 Employees
2017
Key takeaway
The company, Algorithm Labs, provides AI solutions to major domestic groups and has secured investments from top venture capitalists, positioning itself to contribute significantly to the popularization of artificial intelligence. They are actively engaged in research and development through collaboration with KAIST's KIXLAB and are focused on making AI accessible to everyone, which aligns with the growing importance of AI as highlighted by Gartner's predictions.
Reference
Core business
알고리즘랩스, Algorithm Labs
알고리즘 랩스는 AI 트레이닝과 코딩 없이 오직 아이디어만 가지고 AI 제작/시각화/제품 상용화까지 할 수 있는 서비스를 제공합니다.
AIMMO
Seongnam-si, South Korea
A
51-100 Employees
2016
Key takeaway
AIMMO's technology is poised to transform the machine learning workflow market by providing high-performance AI capabilities through its AIMMO Core™ platform, which ensures 99.9% accuracy and speed for machine learning operations. Their innovative approach to data management and collection systems positions them as leaders in the AI space, making them a key player in advancing deep learning solutions.
Reference
Service
AIMMO | AI Data Company
AIMMO Core, Enabling a data-powered tomorrow, AI Data company AIMMO
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Kakao Brain
Seongnam-si, South Korea
A
11-50 Employees
2017
Key takeaway
The company, Kakao Brain, emphasizes its expertise in large-scale AI models, which is highly relevant to the field of deep learning. Their commitment to advancing technology and creating valuable services highlights their contribution to the tech community.
Reference
Core business
카카오브레인
Our innovation is to contribute our world-leading technology on large-scale AI models and Digital Human to the tech community, and to create services that improve the value and quality of life.
Coxwave
Seoul, South Korea
A
11-50 Employees
2021
Key takeaway
The company is focused on developing analytics infrastructure to enhance AI products, emphasizing their mission to help AI learn from real-world data.
Reference
Core business
coxwave
Build Better Generate AI Application Faster
DEEPLY
Seoul, South Korea
A
11-50 Employees
2017
Key takeaway
The company specializes in sound AI, which enhances safety and situational awareness by interpreting sounds. Their technology is particularly relevant in unmanned surveillance, detecting hazards and engine failures.
Reference
Core business
Deeply
Deeply protects the safety and happiness of the world through sound AI. Experience Listen AI, the world's most widely used sound artificial intelligence.
TUNiB
Seoul, South Korea
A
11-50 Employees
2021
Key takeaway
The company specializes in creating domain-specific conversational AI, emphasizing emotional engagement and the protection against AI-generated harmful content. Their expertise in NLP APIs could be relevant for those interested in deep learning applications.
Reference
Core business
TUNiB
Visang Education
Seoul, South Korea
A
501-1000 Employees
-
Key takeaway
Visang has been enhancing learning environments for 25 years, offering innovative edutech solutions like AllviA Connect Learning, which provides an optimized experience for educators and students.
Reference
Product
AllviA Connect Learning - Global Edtech Platform
RAONDATA | 라온데이터
Seoul, South Korea
A
1-10 Employees
2021
Key takeaway
The company develops multimodal deep learning models that utilize acoustic and visual features to detect depression and diagnose central serous chorioretinopathy (CSC) using spectral domain optical coherence tomography (SD-OCT) images. Their automated deep learning algorithms aim to enhance the analysis and diagnosis processes, demonstrating the potential of AI in medical applications.
Reference
Core business
RAONDATA | 라온데이터
RAONDATA - We build AI products
DMLab
Seoul, South Korea
A
11-50 Employees
2020
Key takeaway
BEN's AI solutions utilize deep learning to deliver human-like responses and enhance user engagement through natural language processing and real-time problem-solving capabilities. Their systems are designed to provide personalized interactions, emphasizing comprehension and empathy in human-machine communication.
Reference
Core business
Ben | Personalizing AI Engagement
BEN's Al systems bring a deeper level of Comprehension, Empathy, & Understanding to human-machine interactions.
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
The Deep Learning industry in South Korea is rapidly evolving, driven by significant government support and investment in technology. Key considerations include understanding the regulatory environment, which is becoming more robust to ensure ethical AI practices, data privacy, and security. Additionally, the competitive landscape features both established tech giants and innovative startups, making it crucial to identify niche markets and potential collaborations. Challenges such as talent shortages in specialized areas and the need for continuous research and development to stay ahead are prevalent. Opportunities abound, particularly in sectors like healthcare, autonomous vehicles, and finance, where deep learning applications can enhance efficiency and decision-making. Businesses must also consider the environmental impact of AI technologies, as energy consumption from data centers and training models is a growing concern. Moreover, South Korea's strategic position in the global market presents avenues for international collaboration and expansion. Companies looking to enter this industry should focus on building strong partnerships and investing in local talent to navigate these complexities effectively. Understanding consumer behavior and preferences in the South Korean market can further enhance the potential for success in deep learning applications.
Some interesting numbers and facts about your company results for Deep Learning
Country with most fitting companies | South Korea |
Amount of fitting manufacturers | 18 |
Amount of suitable service providers | 9 |
Average amount of employees | 11-50 |
Oldest suiting company | 2016 |
Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for Deep Learning
What are related technologies to Deep Learning?
Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Deep Learning?
Start-Ups who are working in Deep Learning are Narnialabs, Coxwave, TUNiB, RAONDATA | 라온데이터
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Other, Education, Biotechnology, Computer Hardware
How does ensun find these Deep Learning 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.