Top Data Annotation Companies in UK: 2025 Edition

Developing highly accurate machine learning models requires not only advanced algorithms, but also perfectly labeled data. That is why choosing an annotation vendor is not an operational step, but a strategic decision. Choosing the wrong vendor can not only slow down development, but also affect the final accuracy of the model. With the growing demand for data annotation in the UK and increasing requirements for labeling quality, it is especially important to understand that the data annotation UK market today is extremely diverse: from large tech partners to small teams offering niche services.

When choosing a partner from among the top data annotation companies, companies should evaluate not only cost and volume, but also much more complex metrics: maturity of quality control processes, flexibility in working with non-standard formats, compliance with security requirements and the ability to scale. The vendor should be an extension of your team, not an external contractor — otherwise, frustration, overtime and wasted time cannot be avoided.

Quality annotation is not about cheap labor. This is about consistency, expertise, technological compatibility and trust. Below is an overview of proven data annotation service providers who work in the data labeling UK segment and have proven their worth in real projects.

Who is Really Trustworthy: a Review of the Top Data Annotation Companies in the UK

The UK data annotation market is growing rapidly, but behind the big promises often hide trivial factories of cheap manual markup with no real quality control. To save you time, we have independently selected and analyzed the offers of those who can truly be considered the best data annotation companies — taking into account technical maturity, flexibility, approach to security and feedback from real clients. Below are the companies that have earned their place on this list not through marketing, but through work. When choosing a partner, focus not only on the price, but also on how deeply the supplier understands the specifics of your project.

Tinkogroup 

Founded in 2016 by entrepreneur Olga Kokhan, Tinkogroup is more than just a data annotation contractor. The company has grown from a personal freelance practice into a full-fledged team that works at the intersection of the flexibility of a startup and the stability of a mature outsourcer. Today, Tinkogroup has 38 professionals, 8 years of experience and over 170 successfully completed projects, which makes it one of the strongest players among the top data annotation companies in the UK.

The main distinguishing feature is the focus not only on the result, but also on the transparency of processes. All projects undergo a preliminary testing stage, and constant communication is built with clients: from the first briefs to regular updates and final QA reports. This is an approach close in spirit to product teams: data annotation here is not a streaming service, but meaningful work taking into account the context of the task. What the team can do:

• image & video annotation, including segmentation and object recognition;
• text annotation: classification, intent/NER markup, summaries;
• audio annotation and categorization of products for e-commerce.

Tinkogroup actively cooperates with companies of different sizes — from startups to large enterprises. Each client is offered their own pace, volume and format of interaction. This is not “another outsourcing company” — this is a technology partner ready to integrate into your ML infrastructure.

If you need a data annotation service vendor who can not only take on a task, but also dive deep into it — TinkoGroup will be the reliable partner you can count on.

Data Understood

At the core of Data Understood’s philosophy is a simple but powerful idea: data only becomes truly valuable when people within an organization understand and know how to use it. Founded with a mission to remove barriers and develop a data culture, the company helps businesses not just collect information, but create a sustainable strategy that can change decisions and processes.

Unlike traditional data annotation service vendors, Data Understood offers a systematic approach that includes assessing data maturity, training teams, and creating an infrastructure for high-quality work with data — from labeling to analytics.

Their methodology is divided into four stages:

1. Unearth — identifying internal problems and cultural barriers and aligning the goals and interests of all stakeholders.
2. Reveal — building strategies, strengthening resources, and developing competencies in working with data.
3. Build — implementing the technological base and processes necessary for scalable and secure data management.
4. Achieve — implementing specific solutions and getting quick results, for example, with the help of visual Power BI dashboards.

Customer feedback confirms their ability not only to effectively implement projects, but also to become true members of the customer’s team, creating long-term partnerships. This is especially important for companies seeking to develop their own competencies, rather than simply delegating tasks to an external contractor.

Mindy Support

Founded in 2013 as a small startup, Mindy Support has grown into an international provider with a team of over 2,000 specialists and offices in 7 countries, including Cyprus, Poland, Ukraine and India. In ten years, Mindy Support has become a trusted partner of the largest players in the market — Fortune 500 and GAFAM companies — thanks to its comprehensive approach to data preparation, annotation and customer support.

The data labeling company specializes in large-scale projects with high complexity: from image and video annotation for training generative AI models to supporting multilingual teams and processing millions of requests. Mindy Support is able to quickly increase the volume of work, while maintaining high quality standards — 100% satisfied customers and over 1,250 completed projects confirm this.

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Mindy Support pays special attention to international expertise and a multicultural environment. The company employs specialists who speak more than 30 languages, which allows the company to work effectively with a variety of datasets and local business specifics of customers around the world.

Key areas:

• data annotation for LLM and generative model training;
• multilingual customer support;
• large-scale preparation and labeling of images, videos, and texts;
• automation and optimization of processes with a focus on GDPR and security.

Mindy Support supports a number of successful cases: anonymization of half a million video frames for autonomous cars, large-scale labeling of facial images for recognition systems, as well as support for AI projects of leading data labeling companies in the field of mobility and retail.

Infosearch BPO

Founded in 2000 in India by a group of professionals with extensive experience, Infosearch BPO started its specialized data annotation business in 2005 and has grown significantly since then — now employing around 400 people. The company successfully combines long-standing tradition with modern technologies, offering high-quality and scalable solutions in the field of data annotation UK and BPO services. Infosearch BPO is certified according to international standards ISO 9001:2015 and ISO 27001:2013, which guarantees a high level of data quality and security.

The company serves clients all over the world — from North and South America to Europe, Asia and Australia — providing 24/7 support 365 days a year. Infosearch BPO’s key focus is on customization of services, flexibility and a responsible approach to each task. The company’s specialists work on projects related to artificial intelligence, retail analytics, machine learning and computer vision, providing more than 15 types of data annotation — from simple to complex tasks.

Particular attention is paid to team culture: Infosearch BPO maintains a friendly working environment, which reduces staff turnover and allows for the accumulation of experience within the company. In addition, social responsibility plays an important role in the company’s activities — support for charitable initiatives and environmental programs demonstrates the maturity and sustainability of the business.

Data Made Eazy

Data Made Eazy was born from the hands-on experience of a team that previously worked in a fast-growing software business and faced typical data management challenges. Now, the company helps organizations overcome the same challenges by providing centralized access to data and creating tools for deep insights into processes and metrics.

Data Made Eazy’s core mission is to make data understandable and accessible for informed decision-making, freeing clients from unnecessary technical complexity. The focus is on the client’s business goals and solving specific problems related to improving the work of teams and predicting results.

The key areas in which the company supports clients:

• Sales analytics: funnel analysis, plan achievement, performance indicators.
• Financial analytics: revenue forecasting, cost estimation, KPI benchmarking.
• Marketing: measuring campaign effectiveness, customer acquisition cost.
• Customer service: churn prediction, comprehensive overview of the health of the client base.
• Optimizing services and products: user behavior analytics, feature usage, identifying growth opportunities.

Data Made Eazy is for organizations that value not just technical data labeling, but a strategic approach to using data to improve efficiency and drive sustainable growth. This is especially important in the context of increasing demands for quality and transparency in the data annotation UK industry.

Label Your Data

Label Your Data is a leading data annotation company providing dataset labeling services for the most ambitious and technologically complex ML projects. Under the guidance of experienced managers, the company has expanded to an international team with offices in the US and Europe, covering 33 countries and employing more than 1,000 specialists.

Label Your Data is famous for its high quality and efficient project management. Its clients include both startups and large players who value efficiency, flexibility and a deep understanding of the tasks. This is evidenced by customer reviews, noting the accuracy of labeling, quick adaptation to different languages ​​and formats, as well as transparency of communications.

Key advantages of Label Your Data:

• Ability to launch a free pilot project to assess quality and processes.
• Multi-language support and work with various types of data — from images to text.
• Experience of cooperation with large technology companies, including projects in computer vision and NLP.
• Industry recognition: Multiple awards from Clutch, DesignRush and more. 

The company continues to improve its internal processes and annotation platform, making collaboration simple, efficient and reliable.

Annotation Box

Annotation Box is a top data annotation company, offering a wide range of services in the field of data annotation and preparation of training samples for AI and machine learning. With over six years of experience and a team of 500+ employees, Annotation Box supports over 1,400 projects for 600 clients in various industries — from medicine and retail to fintech and geospatial solutions.

Clients choose Annotation Box for its high level of accuracy (from 95% and above), a variety of annotation tools and adaptable workflows based on the human-in-the-loop principle.

Strengths of Annotation Box:

• Multifunctional annotation solutions: image & video annotation, text and audio markup, semantic segmentation, content moderation, product categorization and even medical annotation.
• Technological + human control: modern tools, combined with manual verification, allow you to achieve stable quality on large volumes.
• Extensive portfolio of cases: clients include large retailers, financial and medical institutions, using annotated data for object recognition, emotion analysis, risk prediction and automation of routine tasks.

What else does Annotation Box offer:

• specialized solutions for data depersonalization;
• the ability to launch projects based on generative AI data;
• advanced geospatial annotation functions;
• support for NLP tasks.

Another strength of Annotation Box is its customer-oriented approach: most projects are built for a specific customer subject area, taking into account the requirements for accuracy, confidentiality and scalability.

Pantima

Pantima is a global data collection and annotation platform that combines technology and human factors. With over 700,000 participants in 120+ countries and support for 220+ languages, the company provides high-fidelity datasets for AI projects of any scale.

Clients include BMW, Samsung, Oracle, NVIDIA, and the European Commission. Pantima works with speech, image, dialogue, text, and computer vision data, customizing projects for specific tasks. The company ensures high quality, an ethical approach, and flexibility in implementation.

Suitable for companies that value scale, accuracy, and localization of data.

Conclusion

Choosing the right partner for data annotation is critical to the success of any AI or machine learning initiative. High-quality, accurately labeled data ensures your models learn faster, perform better, and scale efficiently. Whether you’re just starting out or optimizing existing pipelines, the vendor you select will directly impact your outcomes.

At Tinkogroup, we specialize in delivering precise, scalable data annotation services tailored to your unique project needs. Our experienced team combines technical expertise with a deep understanding of quality assurance, ensuring that your data is not only labeled accurately but also delivered on time, every time.

Ready to elevate your data projects? Explore how we can support your goals here: Tinkogroup Data Annotation Services.

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