AI Data Collection Services

Need data that doesn’t exist off the shelf? We collect and validate custom text, audio, image, video, and multimodal datasets tailored to your AI project – built to train, fine-tune, and evaluate high-performing AI and machine learning models.

Get Custom Data

• PROJECTS

1300+

AI & Data Projects Delivered

• Experts

250k+

Domain Experts & Annotators - community

• MULTILINGUAL EXPERTISE

85+

Languages Covered

• GLOBAL PRESENCE

100+

Countries & Delivery Hubs

Voice & Speech Data

Conversational Speech, Accents, Emotions, Wake Words & Prompts

Image Datasets

Product Photos, Retail Shelves, Vehicles, Faces & Documents

Text & Conversations

Customer Support Chats, FAQs & Domain-Specific Content

Video Data

Human Activities, Driving Footage, Sports & Workplace Scenarios

Multilingual Data

Native speakers across 100+ languages and dialects

Consumer Research

Surveys, Reviews, Purchase Intent Signals & User Feedback

Mobile & App Data

Smartphone Usage, Typing Behavior & App Interactions

Industry-Specific Data

Healthcare, Automotive, Finance, Retail and Legal Domains

Need something unique?

We build fully custom datasets based on your requirements

Build Your Dataset

Our AI Data Collection Process

Information Technology

Robotics & Automation

Expert-Led Delivery

Domain specialists ensure context-aware, high-quality data.

Global Scale

250k+ contributors across 100+ countries

Multilingual Coverage

Native speakers supporting 85+ languages worldwide.

Proven Quality

Multi-stage QA workflows with consistent high accuracy.

Successful Cases

Achieving Global Diversity: How We Collected Over 1 Million Images for Facial Recognition

Services:

Data Collection

Data Validation & Categorization

Ai Training Data

Achieving Global Diversity: How We Collected Over 1 Million Images for Facial Recognition

Services:

Data Collection

Data Validation & Categorization

Ai Training Data

Project Overview:

Mindy Support helped the client collect 1M+ diverse images to improve facial recognition AI. Through targeted recruitment and efficient data collection, we successfully built a large-scale dataset from 100K participants.

100000+

participants recruited

1000000

images submitted

25+

full recruiting capabilities activated across all markets.

Solutions:

Global recruitment network – recruited 100K+ participants across 25+ countries.
Targeted selection – ensured diversity across age, gender, and skin tone.
Optimized data collection – simplified the process of gathering 1M+ images.
AI-based validation – categorized participants by required criteria.
Difficult audience outreach – engaged older and less digitally active users.

Power your AI with custom datasets.

Purpose-built for your use case and delivered with enterprise-grade quality.

Talk to an Expert

Success Stories & Client Testimonials

Guilia M

Anyline, Austria

Thanks to Mindy Support, the client has been able to deliver multiple custom-made mobile OCR scanning solutions on time. They have been thorough and quick to respond with clear communication. Their most impressive feat has been creating solutions within hours.

Dr Henning Lategahn

Atlatec GmbH, Germany

We have been working with Mindy for some time now. They support our teams in Germany with 3D map building work. Their work is invaluable and helps us to deliver on time, within budget, and with quality. They are part of the team now. Thanks, Mindy.

Nick D.

Viu More, Belgium

Thanks to Mindy Support, the client has created an effective model to differentiate various types of waste. They’ve annotated over 1,000 images within two weeks. The team is easy to work with – receptive, personable, and communicative.

Emma Schuster

Sweatcoin, United Kingdom

Mindy Support mastered the role quickly and they meet all of the client’s needs. They proactively seek feedback and are very responsive. Exhibiting great project management skills, they provide great service and have an effective workflow.

Antoine S.

Kili Technology

The client has been pleased with Mindy Support’s performance. The quality of their annotation and their speed of work have been impressive. Responsive and organized, they facilitate a seamless workflow, which encourages long-term partnership.

Tyler M.

Superb AI

The most impressive aspect of Mindy Support is their ability to combine speed with precision, all while maintaining cost efficiency. Their adeptness at quickly assimilating project requirements and delivering quality annotations within stringent deadlines is commendable.

Rene Boiler

OnRecruit, Netherlands

In our experience, Mindy Support offers a high return on investment. Many successful meetings with potential clients were won solely on the work they completed. Should we require their expertise in the future, Mindy Support will be the first business we speak to.

Our Clients

FAQ

What are AI data collection services?

AI data collection services involve sourcing and creating high-quality text, image, audio, video, and multimodal datasets used to train, fine-tune, and evaluate AI, machine learning, and generative AI models.

Why is AI data collection important?

The quality of your AI model depends on the quality of its training data. Accurate, diverse, and representative datasets improve model performance, reduce bias, and increase reliability in real-world applications.

How do you ensure dataset quality?

We follow multi-stage quality assurance processes, including contributor screening, data validation, automated checks, and human review to ensure every dataset meets your quality requirements

Can you collect multilingual datasets?

Yes. We collect multilingual datasets in 85+ languages using native speakers, allowing you to build AI solutions for global markets and region-specific use cases.

Do you provide custom datasets?

Absolutely. We create custom datasets tailored to your project requirements, including specific demographics, scenarios, languages, formats, and annotation guidelines.

What industries do you support?

We support data collection projects across automotive, healthcare, retail, finance, legal, robotics, telecommunications, manufacturing, agriculture, and many other industries.

How is data collection different from data annotation?

Data collection focuses on sourcing and generating new data, while data annotation labels existing data with metadata used for supervised machine learning. Together, they provide the complete foundation for training high-performing AI models.