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Deepstributed
Wrocław, Poland
B
1-10 Employees
2018
Key takeaway
Deepstributed Ltd. offers a platform that enables Machine Learning Engineers to efficiently manage and run their deep learning experiments. By integrating code, hyperparameters, datasets, and models in one place, it streamlines the setup and distribution of experiments across multiple GPUs.
Reference
Core business
Deepstributed | ML experiments with no configration effort
DLabs.AI
Poland
B
11-50 Employees
2015
Key takeaway
DLabs.AI is a software development and consulting company that specializes in creating automated custom AI solutions, with expertise in neural networks and machine learning. Their focus on data-driven strategies enables businesses to enhance diagnostics and optimize treatment plans, particularly in healthcare applications.
Reference
Product
Custom-Build AI Solutions for Your Business - DLabs.AI
Custom-built, smart and scalable AI solutions for startups, mid-sized companies, and large enterprises. Check out how we can help you grow.
AGICortex
Poland
B
1-10 Employees
2020
Key takeaway
The company specializes in Computer Vision applications and has a strong focus on technologies that enable machines to learn independently, which is directly related to the field of Deep Learning. They emphasize the importance of synthetic data for training models effectively and discuss various types of machine learning, including supervised and reinforcement learning.
Reference
Product
Technology – AGICortex
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Bontruk
Warsaw, Poland
B
1-10 Employees
2018
Key takeaway
The company specializes in transforming scientific and technological concepts into business solutions, offering end-to-end models that classify, forecast, and cluster various types of data, including images, text, and sound. Their expertise in machine learning and data analytics services positions them as valuable partners for leveraging artificial intelligence to optimize business operations.
Reference
Service
Machine Learning - Data Analytics Services - World-Class Solutions for Your Business
EXTEND YOUR BUSINESS
Elitmind
Warsaw, Poland
B
51-100 Employees
2015
Key takeaway
Elitmind specializes in Machine Learning and AI consulting services, focusing on Microsoft cloud technology, particularly Azure Data & AI. With a strong track record of delivering over 300 Data & AI solutions across various industries, they combine business expertise with deep technical knowledge to help organizations leverage data as a competitive advantage.
Reference
Service
MACHINE LEARNING - Elitmind
Cognitiva
Warsaw, Poland
B
1-10 Employees
-
Key takeaway
The company is a leading AI and Machine Learning consulting firm, specializing in developing predictive models and computer vision applications that enhance conversion rates and facilitate real-time product detection. Their portfolio includes innovative solutions such as ecommerce recommendation engines and fraud detection systems, showcasing their commitment to advancing IT market development through cutting-edge technologies.
Reference
Product
Cognitiva | Portfolio
Cognitiva is a Machine Learning Consulting company. We offer end-to-end Machine Learning, Data Science, AI & software development.
Logicai
Warsaw, Poland
B
1-10 Employees
2018
Key takeaway
LogicAI is dedicated to advancing data science and AI, highlighted by their flagship product, RecoAI, which utilizes AI for effective recommendations based on real-time customer behavior. Additionally, their EventAI tool focuses on machine learning for analyzing and predicting customer decisions.
Reference
Core business
home - logicai
SoftwareMill
Warsaw, Poland
B
11-50 Employees
2009
Key takeaway
The company emphasizes its expertise in Machine Learning, highlighting its ability to uncover hidden patterns in data, which is essential for driving data-driven business decisions. Their focus on digital transformation and technical knowledge suggests a strong foundation for implementing advanced technologies like Deep Learning.
Reference
Service
Machine Learning meets Data Science
Uncover previously unnoticed patterns hiding in your data with the use of our machine learning services. Make your business datadriven!
Addepto
Warsaw, Poland
B
11-50 Employees
2017
Key takeaway
The company, Addepto, offers comprehensive AI and Machine Learning solutions that help businesses transform raw data into actionable insights, addressing the challenges posed by the increasing volume of data. Their expertise in developing custom ML and BI solutions highlights their capability to leverage deep learning techniques for enhanced decision-making.
Reference
Service
Generative AI Development Company - Addepto
AI Solution provider & Big Data Experts. We are team of Data Scientists & Data Engineers. We develop custom ML & BI solutions.
Robotec.AI
Warsaw, Poland
B
11-50 Employees
2019
Key takeaway
Robotec.ai is a software company that specializes in developing advanced solutions for automated and connected vehicles, with a strong focus on machine learning. Their expertise in this area positions them as key contributors to the future of autonomous mobility.
Reference
Service
Ai/Machine learning - Robotec.ai
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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 Poland, several key considerations emerge. The country has a growing tech ecosystem, with numerous startups and established companies focusing on artificial intelligence and machine learning technologies. Understanding local regulations is crucial, as Poland follows EU data protection laws, particularly the General Data Protection Regulation (GDPR), which impacts data handling practices in deep learning projects. Additionally, the competitive landscape includes both domestic firms and international players, making it essential to assess the unique value propositions of local companies. Challenges such as a talent shortage in specialized fields like deep learning can impact project execution and innovation. However, opportunities abound, particularly in sectors like healthcare, finance, and manufacturing, where deep learning applications are gaining traction. Environmental concerns also play a role, as the energy consumption of large-scale deep learning models raises sustainability questions. Engaging with universities and research institutions can enhance collaboration and foster innovation in this field. Finally, Poland's strategic location within Europe provides access to broader markets, making it an attractive hub for deep learning initiatives. Overall, staying informed about these factors will support a well-rounded understanding of the deep learning landscape in Poland.
Some interesting numbers and facts about your company results for Deep Learning
Country with most fitting companies | Poland |
Amount of fitting manufacturers | 71 |
Amount of suitable service providers | 66 |
Average amount of employees | 11-50 |
Oldest suiting company | 2009 |
Youngest suiting company | 2020 |
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, Education, Research, Biotechnology
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.