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Black Label
Krakow, Poland
B
11-50 Employees
2006
Key takeaway
The company, Black Label, specializes in building tailored teams of JavaScript developers that deliver high-quality software, which may include data labeling solutions as part of their software development services. Their focus on collaboration and integration with client teams suggests a commitment to meeting specific project needs effectively.
Reference
Core business
Black Label - Teams You Can Trust
We build tailor-made teams of JavaScript developers that deliver world-class customized software. Easily access, outsource and scale with teams you can trust.
DLabs.AI
Poland
B
11-50 Employees
2015
Key takeaway
DLabs.AI specializes in developing automated custom AI software solutions, leveraging their expertise in data science and machine learning to optimize data usage for businesses. Their focus on smart algorithms enables clients to enhance diagnostics and treatment plans, particularly in healthcare.
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.
CODELAB SP Z O O
Szczecin, Poland
B
101-250 Employees
2013
Key takeaway
Codelab emphasizes efficient project management and a strong focus on machine learning, which could be relevant for data labeling projects. Their experience in high-security industries suggests a commitment to quality and reliable processes.
Reference
Service
Machine Learning - Codelab
Machine Learning
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Xcellence Labs [xLab]
Warsaw, Poland
B
1-10 Employees
-
Key takeaway
xLab, a data science company with over a decade of experience, emphasizes the importance of unbiased, data-driven decisions.
Reference
Core business
Xcellence Labs – Data Science Company
text2data.com
Poland
B
1-10 Employees
2014
Key takeaway
The company offers advanced NLP and Machine Learning services that enhance text analysis, making it easier to extract and tag entities from documents. Their platform allows users to train custom entity extraction models and analyze unstructured data effectively.
Reference
Core business
Text Analytics & Sentiment Analysis API
Text Analytics Platform - analyze documents and get detailed reports of your unstructured data. Bring NLP and Machine Learning to your work environment.
DMA Labs
Brzozów, Poland
B
1-10 Employees
2016
Key takeaway
DMA Labs specializes in providing high-quality, tailor-made data that is ready for analysis, which is crucial for effective data labeling. Their focus on timely delivery and various preferred file formats ensures that clients receive data that is both accessible and useful for business intelligence and analytics.
Reference
Core business
DMA Labs - Get ready-to-use data. Boost profits. Go bigger.
MLJAR
Warsaw, Poland
B
1-10 Employees
2016
Key takeaway
MLJAR emphasizes the importance of valuable data sets for achieving profitable results and highlights its tools for data analysis, including custom projects using LLM. Their AutoML platform provides detailed documentation for each model, making it a suitable resource for data labeling and related tasks.
Reference
Core business
MLJAR | Outstanding Data Science Tools
Outstanding Data Science Tools
REDSEGSOLUTIONS IT
Warsaw, Poland
B
1-10 Employees
2013
Key takeaway
The company emphasizes its commitment to high-quality data analysis services, which are essential for making informed decisions in big data. Their expertise in data analytics and visualization can significantly enhance your understanding and utilization of data.
Reference
Service
Services
D-LAC Driessen Laboratory Consulting
Warsaw, Poland
B
1-10 Employees
-
Key takeaway
D-LAC Consulting provides specialized consulting services that could enhance operational efficiency, allowing businesses to concentrate on growth.
Reference
Service
Services – D-Lac
VoiceLab
Gdańsk, Poland
B
11-50 Employees
2016
Key takeaway
The company, VoiceLab, offers a data-driven platform that enhances performance monitoring through automated reports on customer interactions. Their use of advanced AI technologies and real-time insights aims to improve sales and customer care conversations.
Reference
Core business
Voicelab.ai - VoiceLab.AI
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The Data Labeling industry in Poland is rapidly evolving, driven by the increasing demand for machine learning and artificial intelligence applications. One key consideration for potential entrants is the regulatory landscape, particularly concerning data privacy and protection laws such as the General Data Protection Regulation (GDPR), which mandates strict compliance in handling personal data. Additionally, understanding the competitive landscape is crucial, as numerous local and international players vie for market share, necessitating differentiation through quality and efficiency. Challenges in the industry include the need for skilled labor, as data labeling requires human judgment and expertise, particularly for complex tasks. Moreover, the industry must navigate technological advancements that may automate some labeling processes, impacting job availability. Conversely, opportunities abound in sectors like healthcare, automotive, and e-commerce, all of which increasingly rely on labeled data to train AI models. Environmental concerns also play a role, as companies are encouraged to adopt sustainable practices to minimize their ecological footprint. With Poland positioned as a strategic hub within the European Union, the global relevance of its data labeling services is significant, providing a competitive edge in attracting investments and partnerships in the technology sector.
Some interesting numbers and facts about your company results for Data Labeling
| Country with most fitting companies | Poland |
| Amount of fitting manufacturers | 55 |
| Amount of suitable service providers | 62 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2006 |
| Youngest suiting company | 2016 |
Some interesting questions that has been asked about the results you have just received for Data Labeling
What are related technologies to Data Labeling?
Based on our calculations related technologies to Data Labeling are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Data Labeling?
The most represented industries which are working in Data Labeling are IT, Software and Services, Marketing Services, Other, Business Services, Consulting
How does ensun find these Data Labeling 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.