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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
LightTag
Berlin, Germany
A
1-10 Employees
2018
Key takeaway
LightTag offers robust features like Review Mode and Reporting to enhance data quality and ensure effective annotator performance. Its AI capabilities automate simple labeling tasks, allowing teams to focus on creating high-quality labels, which is essential for advancing LegalTech through accurate, labeled data.
Reference
Product
Data Quality Control
Teleminer
Dusseldorf, Germany
A
1-10 Employees
2018
Key takeaway
Teleminer positions itself as a trusted data partner, offering comprehensive support for data labeling through managed services that deliver high-quality annotated data at scale. With access to over 250 pre-labeled datasets and a diverse global community of contributors, the company enhances the efficiency and effectiveness of AI initiatives by ensuring quality data throughout the process.
Reference
Product
Platform – Teleminer
Launch with Confidence State-of-the-art technology to deliver quality data and launch successful AI projects. Platform Delivery Models The crowd is an online community of people from every corner of the world coming together to create something huge. They’re an amazingly diverse group of individuals—students and professionals, mothers and veterans, teachers and gamers—each with a unique…
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DATAGYM.AI - AI-powered Annotation Tools
Munich, Germany
A
11-50 Employees
2019
Key takeaway
DATAGYM is a powerful platform that significantly accelerates the data labeling process for machine learning, allowing users to annotate images up to 10 times faster. With AI-powered annotation functions and a versatile polygon labeling tool, DATAGYM streamlines the creation and management of training data for computer vision models.
Reference
Core business
DataGym: AI-powered Annotation Tools for ML training data
Incenda AI
Nuremberg, Germany
A
1-10 Employees
-
Key takeaway
The company specializes in providing quality assurance for AI datasets, emphasizing their independence from labeling companies, which allows them to deliver objective metrics and adapt quickly to changing requirements. Their extensive experience in data QA for machine learning ensures high-quality results tailored to various industry needs.
Reference
Core business
Incenda AI
Chimaera GmbH
Erlangen, Germany
A
11-50 Employees
2007
Key takeaway
Chimaera specializes in innovative AI solutions, including professional data annotation and labeling for AI projects, which is essential for enhancing machine learning and deep learning applications. Their Chimaera Annotation Client offers a dedicated tool for image annotation, supporting various research and industrial uses.
Reference
Service
Professional data annotation and labeling for AI projects
deepsight GmbH
Osnabrück, Germany
A
1-10 Employees
2019
Key takeaway
deepsight specializes in machine learning solutions and comprehensive data analysis, which includes image and sound data analysis. Their expertise in data analysis aligns well with the need for effective data labeling.
Reference
Product
Text Anonymization Service
Welcome to our DataDesk's Anonymization Service, a pivotal tool within our comprehensive platform. Customize your data privacy strategy by uploading datasets and selecting anonymization preferences for names, cities, phone numbers, addresses, and more. As part of our versatile suite of services, this tool ensures you maintain control over your data. With our DataDesk, enjoy the ease of a DIY approach, where thorough analysis and effortless download of sanitized datasets are just a few clicks away, offering tailored solutions for your specific needs.
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 […]
IO Annotator
Berlin, Germany
A
1-10 Employees
2019
Key takeaway
The company offers a modern Annotation Platform designed to enhance data labeling for AI solutions, supporting various annotation types and enabling teams to efficiently annotate images and text at scale. Their tools simplify and accelerate the creation of high-quality training data, which is essential for successful machine learning projects.
Reference
Core business
The AI Annotation Platform for Text and Images
The AI Annotation Platform Text and Image annotation. Use our image and text annotation tool to create high quality training data and integrate your annotation process seamless into your machine learning pipelines.
layline.io
Hamburg, Germany
A
1-10 Employees
2019
Key takeaway
Layline.io specializes in organizing and managing diverse data sources, ensuring real-time integration and understanding of various data types. Their continuous monitoring and implementation services enhance data processing capabilities, making it easier for businesses to leverage their data effectively.
Reference
Service
Services: Consulting - layline.io
Making data work for you, not the other way around.
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
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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 | 234 |
Amount of suitable service providers | 213 |
Average amount of employees | 1-10 |
Oldest suiting company | 1994 |
Youngest suiting company | 2020 |
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, Other, Marketing Services, Consulting, Printing
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.