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DEEPCLOUDLABS
Turkey
C
1-10 Employees
2018
Key takeaway
DeepCloudLabs offers expertise and consulting services in AI and Machine Learning, including hands-on training and research opportunities that enhance understanding and application of deep learning concepts. Their focus on advanced data science and cognitive technology helps organizations increase accuracy and productivity through innovative solutions.
Reference
Core business
DeepCloudLabs - Advanced Data Science | AI | Machine Learning | Cloud-Native Applications | AI/ML Bootcamps
VNGRS
Turkey
C
51-100 Employees
2012
Key takeaway
VNGRS AI offers a range of Machine Learning solutions, including personalization and recommendation engines, MLOps, and data pipeline solutions, all of which are integral to advancing deep learning applications. Their expertise in data and AI positions them to effectively transform various industries through innovative digital strategies.
Reference
Product
Solutions By Industry | VNGRS AI
SOLUTIONS BY INDUSTRY We are ready to transform your world digitally Data & AI Serving Personalization & Recommendation Engine, Cloud-Based Data Architecture Services, MLOps and Data Pipeline Solutions, NLP, Data Migration to Cloud, and AutoPaper. Industries: – Education– Ecommerce– ISV– Manufacturing– Media– Banking Development Development team is divided as OneTeam and ProTeam. Rapidly maturing machine […]
SPP42 International
Turkey
C
51-100 Employees
2007
Key takeaway
The company specializes in delivering advanced machine learning algorithms and data services that can help organizations leverage deep learning to enhance efficiency and gain insights. Their expertise in AI systems and data-driven solutions positions them to address complex challenges across various industries.
Reference
Product
SPP42 - Datamechs - AI for E-commerce
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Diversis.ai
Turkey
C
1-10 Employees
2019
Key takeaway
Diversis has a strong focus on artificial intelligence (AI) and machine learning (ML) technologies, aiming to make these advancements accessible for the development of high-tech products. Their expertise in creating tailored AI-centric software highlights their commitment to evolving technologies like deep learning.
Reference
Core business
Diversis AI Solutions
Unite
Turkey
C
251-500 Employees
1998
Key takeaway
Unite is a leading provider of intelligent automation services, dedicated to enhancing organizational efficiency and driving digital transformation through the integration of advanced technologies like AI and machine learning. Their commitment to employing the latest intelligent automation tools positions them at the forefront of transforming how businesses operate.
Reference
Product
AI - ML
VIZIO AI
Turkey
C
1-10 Employees
-
Key takeaway
The company emphasizes its commitment to empowering organizations through high-quality data services and products, highlighting the transformative power of data. Their focus on generative AI with LLMs suggests an innovative approach to harnessing data effectively.
Reference
Product
Generative AI with LLMs - Vizio AI | Discover our service packages
We understand your needs, come up with unique solutions, and stand by our services.
GLOSA
Ataşehir, Turkey
C
11-50 Employees
2021
Key takeaway
GLOSA is an autonomous NLP model creation tool that offers features like dataset management and auto model training, making it ideal for rapid proof of concept (PoC) development in natural language processing (NLP) and related AI applications.
Reference
Core business
Home
SDG AI Lab
Turkey
C
11-50 Employees
-
Key takeaway
The SDG AI Lab focuses on leveraging Artificial Intelligence (AI) and Machine Learning (ML) to support sustainable development initiatives.
Reference
Core business
SDG AI Lab
Ango AI
Turkey
C
11-50 Employees
2020
Key takeaway
iMerit specializes in providing high-quality training data and precise annotations for AI models, which is crucial for deep learning applications. Their Ango Hub platform offers a fully managed data labeling service, enhancing the efficiency and accuracy of training datasets for machine learning projects.
Reference
Core business
Next-Gen Data Labeling Solutions - Ango AI
High quality training data, the simple way. Fully managed data labeling service and data annotation platform for AI teams.
Rotorbit Engineering LLC
Beypazarı, Turkey
C
1-10 Employees
2014
Key takeaway
Rotorbit leverages the power of Machine Learning to enhance product development and process management, particularly in the aerospace industry. Their advanced services include using state-of-the-art technology to simulate fluid flow and create predictive models.
Reference
Core business
Machine Learning | Rotorbit
Rotorbit is a provider of advanced CFD & machine learning services for the aerospace industry. Our team uses state-of-the-art technology to simulate fluid flow & build predictive models. We offer a range of services, including custom solutions for complex projects. Contact us to learn more.
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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 Turkey, several key considerations emerge. The regulatory framework is evolving, with the government emphasizing technology-driven initiatives to enhance the digital economy. This creates opportunities for startups and established companies alike to innovate and collaborate. However, challenges exist, including a shortage of skilled professionals, as the demand for expertise in machine learning and neural networks often outpaces supply. The competitive landscape in Turkey features a mix of local startups and multinational corporations, fostering a dynamic environment for technological advancement. Investment in research and development is crucial, as companies strive to stay ahead in a rapidly changing field. Additionally, Turkey's strategic geographic position offers access to both European and Asian markets, enhancing global relevance. Environmental concerns also play a role, as the energy consumption of deep learning models necessitates sustainable practices and efficient computing solutions. Finally, understanding the cultural context and local market needs can provide a significant advantage when developing and deploying deep learning applications in Turkey, making it essential for businesses to tailor their solutions accordingly.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | Turkey |
| Amount of fitting manufacturers | 74 |
| Amount of suitable service providers | 51 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1998 |
| 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 GLOSA
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Education, Marketing Services, Other, Research
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.