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Deep Learning Wizard
Singapore
C
1-10 Employees
2017
Key takeaway
The company focuses on simplifying the process of learning deep learning, deep Bayesian learning, and deep reinforcement learning, making it more accessible and less daunting for individuals looking to gain familiarity in these areas.
Reference
Core business
Deep Learning Wizard - Deep Learning Wizard
ActiveWizards | Data and AI company
Singapore
C
11-50 Employees
-
Key takeaway
ActiveWizards is a machine learning company that specializes in deep learning, offering expertise in transforming Big Data through neural networks. Their team of data scientists and engineers is dedicated to providing assistance with deep learning and machine learning techniques.
Reference
Service
Hire Deep learning Specialists & Engineers - Consultancy Agency
Get assistance with deep learning and machine learning techniques. ActiveWizards agency's experts are for hire now. Click here and know more.
Tellus2build LLP
Singapore
C
11-50 Employees
-
Key takeaway
The company has been actively working on deep learning projects since 2014, developing and fine-tuning AI models to achieve high-quality predictions. With partnerships with leading technology providers, they offer comprehensive services including project consultation and AI infrastructure design.
Reference
Core business
Home - A R&D and Information Service Provider
Software and hardware R&D partner. Looking to startup or build product, platform or an idea?
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Emage AI Pte. Ltd.
Singapore
C
51-100 Employees
2015
Key takeaway
Emage Group focuses on integrating deep learning and machine vision technologies to enhance manufacturing processes. Their commitment to innovation and smart manufacturing solutions positions them as key players in the evolution of the industry.
Reference
Service
Machine Learning – Emage Group
Telleqt
Singapore
C
11-50 Employees
2021
Key takeaway
ALEX is an advanced AI platform that automatically generates and optimizes predictive models from real-time streamed data, eliminating the need for data scientists. This capability allows for continuous model enhancement and automated action execution at any scale.
Reference
Core business
Home | Telleqt AI
ALEX automatically generates predictive models from real-time streamed data at any scale. Without the need for data scientists or human intervention, ALEX continuously optimises models and automatically executes actions
DLABs
Singapore
C
1-10 Employees
2020
Key takeaway
DLABs specializes in Machine Learning and Design Automation, offering AI-driven solutions that enhance productivity by streamlining workflows and reducing manual tasks. Their expertise in advanced computing and regression models positions them as a key player in the digital automation landscape.
Reference
Core business
DLABs | Software Development | Machine Learning | Design Automation
Through software development and AI solutions, DLABs' objective is to improve the productivity of our customers by providing bespoke solutions according to their business philosophy and workflow.
EaglAI
Singapore
C
11-50 Employees
-
Key takeaway
EaglAI offers advanced AI solutions like EaglAI Detect, a vision system for identifying defects, and EaglAI Train, a no-code model training software that simplifies AI model development. These tools highlight the company's commitment to integrating AI for enhanced inspection and production processes.
Reference
Core business
EaglAI
machinelearning.sg
Singapore
C
1-10 Employees
2020
Key takeaway
Machinelearning.sg is a digital magazine dedicated to discussing research and trends in artificial intelligence and machine learning, providing accessible overviews of developments in the field.
Reference
Core business
Machine Learning SG
machinelearning.sg is a ground-up effort to build, grow and celebrate the machine learning community in Singapore. It also aims to be a place to feature and discuss research and trends in artificial intelligence and machine learning.
Datanet Studio Pte Ltd
Singapore
C
1-10 Employees
-
Key takeaway
Datanet Studio emphasizes its expertise in delivering data science projects that enhance customer retention, optimize production, and improve demand forecasting. Their commitment to using advanced technologies and analytics positions them as a reliable partner for businesses looking to leverage data for strategic decision-making.
Reference
Core business
Datanet Studio - Your Trusted Data Science Partner
Learnimo
Singapore
C
11-50 Employees
2019
Key takeaway
Learnimo is dedicated to enhancing learning outcomes through skill-based education that is curated and personalized. Their focus on a predictive workforce and adapting to evolving skillsets aligns with the transformative nature of deep learning in education.
Reference
Core business
Learnimo | World's Leading Provider Of Industry 4.0 Education
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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.
When exploring the Deep Learning industry in Singapore, several key considerations emerge. The city-state is known for its robust technology ecosystem and strong government support, which fosters innovation and attracts global talent. Regulations regarding data privacy, such as the Personal Data Protection Act (PDPA), play a crucial role in shaping how companies handle data, making compliance a priority for businesses in this field. The competitive landscape is dynamic, with both established firms and startups vying for market share, particularly in sectors like finance, healthcare, and logistics. Opportunities abound due to Singapore's strategic position as a hub for Southeast Asia, providing access to a broader market for deep learning applications. However, challenges such as talent shortages and the need for continuous skill development remain pressing issues. Environmental considerations are also gaining traction, with a growing emphasis on sustainable practices in technology development. Furthermore, deep learning's global market relevance presents both opportunities and challenges, as companies must stay abreast of international trends and advancements. By understanding these factors, individuals and businesses can better navigate the complexities of the deep learning landscape in Singapore.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | Singapore |
| Amount of fitting manufacturers | 93 |
| Amount of suitable service providers | 83 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2015 |
| Youngest suiting company | 2021 |
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 Telleqt
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Education, Other, Marketing Services, Consulting
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.