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LightTag
Berlin, Germany
A
1-10 Employees
2018
Key takeaway
LightTag offers a powerful solution for data labeling, featuring Review Mode and AI-driven automation that enhances the quality and efficiency of annotations. By streamlining the labeling process, especially for legal documents, LightTag enables teams to focus on creating high-quality labeled data essential for NLP applications.
Reference
Core business
LightTag - The Text Annotation Tool For Teams
LabelDay
Cologne, Germany
A
1-10 Employees
-
Key takeaway
LabelDay specializes in operational labeling and safety signs, offering a wide range of products including safety labels and machine markings, which may be relevant for data labeling needs in terms of clear identification and compliance. Their products are produced in high quality in Germany and are processed quickly after order.
Reference
Core business
LabelDay
combit
Constance, Germany
A
11-50 Employees
1989
Key takeaway
The company highlights its reporting tool, List & Label, which offers extensive data integration capabilities, supporting over 30 data providers and allowing for easy embedding in various applications. With practical training and comprehensive documentation, users can effectively leverage the tool's dynamic reporting functions.
Reference
Service
Development with Reporting Tool List & Label - combit
Development made easy: See the functional principle of reporting tool List & Label, its flexibility regarding data sources and its Editions.
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Toptack GmbH
Traitsching, Germany
A
1-10 Employees
-
Key takeaway
toptack GmbH is a producer and service provider specializing in industrial parts labeling, offering advanced labeling solutions that enhance processes and reduce costs, particularly with their innovative LOTUS-effect protective labels.
Reference
Product
Label for technical industry - toptack GmbH
Label for technical industry
Preciise.ai
Munich, Germany
A
51-100 Employees
2020
Key takeaway
The company specializes in providing high-quality, project-specific datasets, essential for effective AI development. They offer streamlined data labeling processes through tools and partnerships, ensuring fast and efficient integration of labeled data into operations, making them a valuable resource for any AI project.
Reference
Core business
Highest quality data services that scale with you | PRECIISE.AI
Data Label
Bad Honnef, Germany
A
1-10 Employees
2021
Key takeaway
Data Label has been providing reliable quality for data labeling for seven years, offering a custom design service for printed adhesive labels. They also provide options for barcode and QR code labels, ensuring a tailored solution for labeling needs.
Reference
Product
Printed adhesive labels - Data Label
Upload your label design. We will use your uploaded image for the labels. For orders over 40€ we will send you a free sample label in advance. If you don't like your label, you can cancel the order at any time.
medpharmtec
Munich, Germany
A
11-50 Employees
1994
Key takeaway
medpharmtec has extensive experience in Labeling Management for pharmaceuticals, medical devices, and nutraceuticals, serving both national and international clients. The company emphasizes the use of modern Data Science/AI techniques and standardized processes to enhance the accuracy and distribution of evidence-based medical and pharmacological product claims.
Reference
Core business
Labeling Management - medpharmtec
Data Claims Labeling Management Seit vielen Jahren betreibt medpharmtec das Labeling Management für Arzneimittel, Medizintechnik und Nutraceuticals nationaler und internationaler Kunden. Als Brücke zwischen Regulatory Affairs und Medical Information bietet medpharmtec die Bearbeitung, Verifizierung und Verteilung evidenzbasierter medizinisch-pharmakologischer Produktaussagen. 2022 Gründungsjahr 1 Kunden 1 Projekte Neben GMP-konformen Methoden, digitalisierten Leistungsprozessen und hochspezialisierter Expertise nutzt das interdisziplinäre medpharmtec Team […]
cab IT+Technik
Offenbach am Main, Germany
A
1-10 Employees
-
Key takeaway
myLabels specializes in labels that meet specific customer requirements, offering both blank labels and printed labels. They also provide sales representation for label printers and labeling systems, along with repair and maintenance services for these systems.
Reference
Product
Pharma Labels – myLabels
ImFusion GmbH
Munich, Germany
A
11-50 Employees
2012
Key takeaway
The company offers a new product specifically designed for data management and annotation called ImFusion Labels, highlighting their expertise in creating efficient software solutions for tasks like data labeling.
Reference
Product
ImFusion - ImFusion Labels
Lantor GmbH
Haibach, Germany
A
11-50 Employees
-
Key takeaway
Lantor is an innovative provider of labels and system solutions for the textile and clothing industry, as well as for general technical applications.
Reference
Service
Service – Lantor Etiketten
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Data Annotation
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In the Data Labeling industry in Germany, several key considerations are crucial for potential entrants. The regulatory landscape is significant, as Germany has stringent data protection laws, particularly with the General Data Protection Regulation (GDPR) in effect. This necessitates that companies ensure compliance when handling personal data during the labeling process. Additionally, the industry faces challenges such as maintaining high-quality standards and managing the increasing volume of data generated by various sectors, including AI and machine learning. Opportunities abound, especially as businesses continue to leverage AI technologies, which require large datasets for training models. The competitive landscape is characterized by both established firms and new startups, leading to innovative solutions and pricing strategies. Moreover, environmental concerns are gaining traction, prompting companies to adopt sustainable practices in their operations. Understanding the global market relevance is also essential, as Germany serves as a key player in the European tech ecosystem, making it an attractive location for data labeling services. Therefore, thorough research into these factors is essential for making informed decisions in this rapidly evolving industry.
Some interesting numbers and facts about your company results for Data Labeling
| Country with most fitting companies | Germany |
| Amount of fitting manufacturers | 329 |
| Amount of suitable service providers | 333 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1989 |
| Youngest suiting company | 2021 |
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
Who are Start-Ups in the field of Data Labeling?
Start-Ups who are working in Data Labeling are Data Label
Which industries are mostly working on Data Labeling?
The most represented industries which are working in Data Labeling are IT, Software and Services, Other, Marketing Services, Printing, 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.
