Locations
Company type
Result types
Industries
Employees
Founding year
The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Japan Computing Systems
Tokyo, Japan
A
- Employees
1992
Key takeaway
The company, Japan Computing Systems (JCS), offers a range of Deep Learning models optimized for their GPU computing systems, highlighting their expertise in providing GPGPU solutions for machine learning and HPC for research purposes.
Reference
Core business
株式会社 日本コンピューティングシステム | 業務用、産業用、研究用途の基幹ハードウェアをご要望に合わせてご提案
NABLAS
Tokyo, Japan
A
- Employees
2017
Key takeaway
The company specializes in delivering AI technologies, including advanced deep learning solutions for various applications such as image and speech recognition, deep fake detection, and natural language processing. They offer comprehensive services that range from research and development to application development, ensuring optimized AI models tailored to specific needs.
Reference
Product
AIテクノロジー | AI総合研究所 NABLAS
Konduit
Tokyo, Japan
A
11-50 Employees
2019
Key takeaway
The company offers support and services for enterprises interested in deep learning, specifically with DL4J and other open-source tools. Their focus on building AI infrastructure and facilitating model execution is particularly relevant for those exploring deep learning solutions.
Reference
Core business
Konduit - We Build AI infrastructure from the Ground Up
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
HACARUS
Kyoto, Japan
A
11-50 Employees
2014
Key takeaway
HACARUS specializes in innovative digital solutions through its Sparse Modeling technology, which enhances decision-making in fields like healthcare and manufacturing. Their AI-driven applications improve safety awareness and support diagnostic processes, showcasing their expertise in developing efficient, explainable AI systems that work effectively with limited data.
Reference
Core business
HACARUS – Sparse Modeling based AI, Edge AI with learning and inference capability, White box AI
We make AI work, where common Big Data aproaches fail. Get explainable results, even from small data amounts. Available on the cloud or as embedded devices.
Cross Labs
Kyoto, Japan
A
11-50 Employees
2019
Key takeaway
Deep Learning has emerged as a vital solution to the labor shortage in the industry, as highlighted by Cross Labs, a company dedicated to uncovering the mathematical foundations of intelligent processes. Their research, particularly in deep learning, aims to enhance product quality and productivity across various sectors, including manufacturing and robotics.
Reference
Core business
Home 2022
Radically Reimagining the Future of Intelligence. Building innovative, compassionate, and ethical AI technologies that support, elevate, and benefit humanity.
Cerego Japan
Tokyo, Japan
A
- Employees
-
Key takeaway
Cerego utilizes AI-powered adaptive learning technology, including their patented Smart Create™ system, to enhance the learning experience through science-backed memory techniques. This approach has led to significant improvements in student engagement and efficiency at institutions like Bryan University.
Reference
Core business
Cerego | Supercharge Your Learning Ecosystem
Power your organization's learning and training systems to identify expertise and harness the full potential of human performance through AI-powered adaptive learning technology based on proven cognitive science.
Gigalogy
Tokyo, Japan
A
11-50 Employees
2019
Key takeaway
The company specializes in advanced AI solutions, particularly in enhancing E-Commerce through personalized product recommendations and user engagement. Their innovative platform allows businesses to train and manage their own GPT models, showcasing their commitment to cutting-edge technology in the AI space.
Reference
Core business
Gigalogy | Personalization Platform for E-Commerce
Worksbot
Toyokawa, Japan
A
251-500 Employees
2011
Key takeaway
Worksbot Applications is a solutions and development company that specializes in Artificial Intelligence (AI) and Machine Learning technologies.
Reference
Core business
Worksbot | Software Development Company | Machine Learning | Artificial Intelligence | CRM | ERP
Preferred Networks
Tokyo, Japan
A
251-500 Employees
2014
Key takeaway
Preferred Networks (PFN) focuses on developing practical applications of deep learning to address complex real-world challenges. The company leverages deep learning and robotics to drive innovation across various fields, highlighting its commitment to advancing this technology.
Reference
Core business
Company - Preferred Networks, Inc.
Profile Information Access Who We Are We develop practical applications of cutting-edge technologies. Preferre […]
Midokura
Tokyo, Japan
A
11-50 Employees
2010
Key takeaway
Midokura is a leading company focused on network virtualization and the integration of Artificial Intelligence (AI) into various applications, including computer vision. Their mission to transform society with AI and IoT highlights their commitment to advancing technologies like deep learning through the development and optimization of AI models.
Reference
Product
TECHNOLOGY - Midokura
Discover our technology!We work with cutting edge technology to create the solutions of the future
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
AI and ML App
Go to product
Service
Internships
Go to product
Service
Deep Learning
Go to product
Service
Elements of AI For Business ®
Go to product
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.
When exploring the Deep Learning industry in Japan, several key considerations come into play. The country is renowned for its technological advancements, making it a fertile ground for innovations in AI and deep learning. Regulatory frameworks are evolving to accommodate AI technologies, which may impact data usage and privacy. Understanding local laws, such as the Act on the Protection of Personal Information, is crucial for compliance. Challenges include a competitive landscape dominated by established players and the need for skilled talent, as there is a growing demand for expertise in deep learning algorithms and data management. Opportunities abound in sectors like healthcare, automotive, and finance, where deep learning applications can drive efficiency and innovation. Environmental concerns are also becoming increasingly relevant, as companies are encouraged to consider the sustainability of their AI solutions and energy consumption. Furthermore, Japan's deep learning initiatives are often influenced by global trends, and collaboration with international firms can enhance innovation. Staying informed about technological developments and engaging with local research institutions can provide valuable insights. Overall, a thorough understanding of these factors will aid anyone interested in the deep learning sector in Japan, ensuring they can navigate the complexities of this rapidly evolving industry.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 24 |
| Amount of suitable service providers | 19 |
| Average amount of employees | 251-500 |
| Oldest suiting company | 1992 |
| Youngest suiting company | 2019 |
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
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Other, Automation, Consulting, Education
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.