Choosing a data annotation service provider is a strategic decision that directly impacts the quality of the final model, time to market, and regulatory compliance. Especially in Europe, where privacy is strictly and thoroughly regulated, the priority shifts not only to technological competence, but also to legal transparency.
For teams developing AI — from product managers to ML engineers and startup founders — the annotation provider should not just be a contractor, but an extension of the internal team: flexible, technically mature, and understanding the specifics of the subject area.
In practice, this means: confident use of tools (including for multimodal annotation), well-established quality control processes, readiness for scaling, and clear protocols in terms of GDPR. It is also important that the contractor’s team has experience in a specific vertical — be it autonomous transport, medical diagnostics, voice AI, or banking products. A sustainable partner does more than just label data; it helps you get to market faster by minimizing errors in model training and reducing the workload of in-house specialists. Below is an overview of the top data annotation companies operating in Europe that meet these criteria.
Who to Trust with Your Data: Top Data Annotation Companies in Europe
The data annotation market in Europe is growing rapidly, and with it, competition among contractors is increasing. But behind the external diversity, there are significant differences: in the approach to quality, in technical flexibility, in compliance with regulatory requirements, and in the ability to work with scalable, complex projects. Below are the top multimodal annotation companies that have proven themselves in the European market. Each has its own specialization, experience, and infrastructure. The choice depends on your tasks: be it fine-grained labeling of medical images, mass processing of documentation, or the creation of datasets for autonomous systems.
Tinkogroup

Tinkogroup is a well-deserved leader among top data annotation companies operating in the EU data annotation market. Founded in 2016 by Olga Kokhan, a specialist who started her career as a freelancer, the team has grown into a flexible provider of annotation solutions with a transparent structure, strict quality control and a focus on business results.
Today, there are 38 specialists on staff, with over 170 successfully completed projects under their belt. But what is more important is that Tinkogroup has formed a working philosophy in which accuracy, deadlines and conscious communication are not formal slogans, but practical standards.
What makes Tinkogroup stand out among European providers:
- Support for all key annotation types: images, video, text, audio, objects, as well as semantic and instance segmentation.
- Flexible cooperation formats: from startups to enterprise clients.
- Proven processes: multi-level QA, transparent communication, iterative work with the customer.
- Compliance with regulatory requirements — including full adaptation to GDPR.
Each project at Tinkogroup goes through a multi-stage funnel: from requesting and clarifying requirements to internal testing, regular updates to the client, and final validation. This structure allows us to minimize risks and ensure the declared accuracy – on average at the level of 99% for completed projects.
Additional areas include: data entry, lead research, email list building and Internet research, which allow clients to close related tasks on data processing and enrichment.
Tinkogroup is a GDPR compliant annotation company that not only marks data, but also helps startups and corporations accelerate the entry of ML products into the market. In the face of growing demand for data annotation Europe, the company demonstrates a rare combination of flexibility and maturity.
Pangeanic

Pangeanic is one of the leading European providers in the field of natural language processing (NLP), specializing in the development of solutions for multilingual access to information and ensuring data privacy. The company focuses on the creation of ethical AI systems, combining technological innovations and strict privacy standards.
Pangeanic’s key mission is to provide reliable and fast access to corporate knowledge in the form of a chatbot, which allows users to receive answers only from trusted internal sources, eliminating the effects of AI “hallucinations”. This approach is especially relevant for international organizations and large corporations, where information is distributed across different languages and systems.

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Main areas and technologies:
- Deep Adaptive Machine Translation (deep adaptive machine translation), working in private environments, allows scaling multilingual communication without loss of quality and taking into account the specifics of the business.
- Tools for automatic subtitling, AI dubbing, and speech-to-speech communication that simplify the localization of audio and video content.
- Data Masking and data anonymization, which support Pangeanic’s contribution to the development of ethical AI, minimizing the risk of leaks and ensuring GDPR compliance.
- Professional solutions for automated translation and content management with AI integration.
The company builds its work on four ethical principles: transparency, fairness, privacy, and responsibility. This philosophy allows us to democratize access to AI, eliminating language barriers and creating a level playing field for users and organizations around the world.
Understand.ai

Founded in 2017 in Karlsruhe, Germany, Understand.ai specializes in supporting complex projects in the field of ADAS and autonomous driving. With over 7 years of experience in the industry, Understand.ai excels in its deep understanding of the specifics of ground truth data validation and homologation, a key step in the development of safe autonomous systems.
Core competencies and offerings:
- Expertise in ADAS/AD data annotation and verification using advanced methodologies and tools developed jointly with parent company dSPACE, a world leader in automotive system modeling and testing.
- Providing end-to-end data validation solutions is required for successful certification and market launch.
- Supporting customers and partners in 16 countries through a well-developed network of offices and local teams, ensuring effective communication and rapid response to requests in different regions.
- Strong focus on long-term partnerships and participation in industry events — the Understand.ai team regularly speaks at conferences and is ready to discuss customer tasks in person.
The company’s headquarters are located in Germany, but thanks to the global network and support of the parent structure dSPACE, Understand.ai has a physical presence in 16 countries. This coverage allows for localized project support, taking into account the linguistic and cultural characteristics of customers.
ScaleHub

Founded in 2016, ScaleHub specializes in a revolutionary approach to automating data extraction and document processing by combining crowdsourcing technologies with cloud platforms. Their mission is to make complex processes fast, accurate, and scalable for call centers and business process outsourcers (BPOs).
Key features and technologies:
- The ScaleHub platform is a cloud solution that connects public and private crowd communities to process large volumes of documents and data in real-time.
- The company draws on over 15 years of experience in integrating with legacy systems and managing mission-critical processes with tight deadlines.
- Supporting clients across industries, taking into account the unique needs and challenges of each business.
- Innovative approach to automation: ScaleHub constantly rethinks and improves traditional methods, offering highly effective tools and services.
ScaleHub customers gain access to a fast, accurate, and scalable solution that can handle large volumes of data, making them more competitive and agile. This is especially true for companies focused on business process optimization and digital transformation.
Label Your Data

Label Your Data is a key provider of data labeling Europe services, supporting large-scale machine learning projects around the world. With regional headquarters in the US and Europe and a team of over a thousand specialists, the company successfully scales its solutions for the most demanding clients.
Under the leadership of experienced specialists, the company focuses on high quality and reliability. Such management ensures continuous development and adaptation of services to the needs of the rapidly changing AI industry.
Label Your Data offers its clients the opportunity to launch free pilot projects, which allow them to evaluate the quality and speed of work before starting large-scale cooperation. With a wide geographic presence and expertise, the company continues to be a reliable partner for next-generation model developers.
CloudFactory

Founded in 2010 in Nepal, CloudFactory specializes in building a global team of experts to label data and support AI projects. Over 700 customers trust the company for its combination of technology and human verification.
Key features:
- NPS 75 and over 700 happy customers.
- Inference-centric AI approach — optimizing the quality of the output model, not just the data.
- Human-in-the-loop model: automation plus expert verification of rare errors.
- Modular AI Data Platform accelerates model launch and monitoring.
CloudFactory grew out of the idea of equal opportunities for talented professionals around the world. The acquisition of the Hasty platform expanded its capabilities — now the company supports the entire AI lifecycle with continuous improvement.
iMerit

iMerit is a global company with over 5,500 professionals working in the US, Europe, Bhutan and India. The company collaborates with leading players in the AI and machine learning market, helping to extract value from large volumes of unstructured data and improve the quality of models.
What sets iMerit apart is:
- More than 98% accuracy of project execution, which confirms the high quality and reliability of services.
- A balanced combination of technology and human intelligence for effective labeling and training of models.
- Focus on social responsibility — creating jobs and contributing to the digital economy.
A wide range of services, including data annotation and generative AI services.
iMerit aims to be the most innovative partner in the field of data enrichment and AI implementation, helping clients to uncover hidden opportunities in big data.
Mindy Support

Founded in 2013, Mindy Support has grown into an international company with over 2,000 specialists and offices in 25 countries, including Cyprus, Poland, Romania, India and Ukraine. The data annotation company EU works with the largest players in the market — Fortune 500 and GAFAM — providing data labeling, data preparation and customer support services.
Key achievements and capabilities:
- More than 1,300 completed projects and 100% customer satisfaction.
- Huge volumes of processed data: over 628 million labeled images and 92 million processed tickets.
- Support for over 30 languages, which ensures multicultural and multitasking work.
- Flexibility and scalability: quick launch and expansion of projects without loss of quality.
Diversity of industries: automotive, robotics, telecommunications, retail, SaaS, etc. The company combines a technological approach with the experience of a global team, ensuring accuracy, reliability and compliance with international quality standards. Mindy Support supports complex projects in the field of generative AI, LLM markup and customer service, helping businesses effectively manage data and communications.
Conclusion
Choosing a reliable partner for data annotation is a key step towards successfull implementation of AI projects. The companies presented in this review demonstrate high quality standards, technical expertise and the ability to work on large and complex tasks in the field of data annotation EU and data labeling EU.
If you are looking for a proven and responsible contractor with many years of experience and attention to detail, we recommend considering Tinkogroup. Their team of specialists provides a wide range of data annotation and processing services with an emphasis on quality, transparency of processes and timely delivery of projects. Cooperation with Tinkogroup will help you improve the accuracy of models, reduce time to market and maintain full GDPR compliance.
Learn more about Tinkogroup’s capabilities and start improving the quality of your data today.
FAQ
How to choose the right data annotation company in Europe?
The choice depends on several factors: the provider’s specialization, experience working with your type of data (e.g. images, text, audio), the level of quality control and GDPR compliance. It is important to pay attention to the transparency of processes, customer reviews and the possibility of scaling the project.
What are the benefits of working with European data annotation companies?
European providers tend to strictly comply with GDPR regulations, which guarantee data security and privacy. In addition, many companies offer local support, better understand market requirements and ensure a high level of quality thanks to advanced standards and technologies.
What types of data annotation are most in demand for modern AI projects?
The most popular are image and video tagging (including segmentation and classification), text annotation for NLP tasks, and audio annotation. With the growth of multimodal models, the demand for comprehensive solutions combining several types of data is growing.




