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Trusted by 100+ Customers
Challenges We Solve
ML Engineers
Get data for rare objects missing in real datasets.
Train models without personal or sensitive data.
Dataset Businesses
Generate privacy-safe versions of sensitive data.
Fill gaps in real datasets for better diversity.
Fintech & Medical AI
Overcome strict data privacy regulations.
Solve rare or missing cases.
Academic Researchers
Get data when real datasets are restricted.
Complete research without privacy barriers.
Check Your Data Generation Needs
Fictional Personal Data Creation
Fictional Scenario Generation
Image Generation
Fictional Personal Data Creation
Fictional Scenario Generation
Image Generation
How It Works
Free Pilot
Request a free sample to evaluate our synthetic data quality.
QA
Review the generated sample for relevance and accuracy.
Proposal
Receive a tailored data generation plan.
Data Generation
Our team starts producing synthetic data at scale.
Delivery
Get high-quality synthetic data ready for use.
Reviews
What Our Clients Say
"We were impressed by the labeled data quality as well."
Label Your Data makes significant progress toward the goal of enhancing the client’s algorithm performance. The team works quickly to deliver annotations and annotators with extensive experience in the field. Their project management is straightforward, making for a smooth engagement.
Roman Lutsyshyn
CEO, NLP Development Company
"They’re willing to drop everything to fulfill our needs and keep us happy."
Demonstrating a profound dedication to the project, Label Your Data consistently provides near-perfect deliverables at a cost-effective price. Thanks to their help, the client has been able to be more flexible with their work. Their impressive turnaround time further enhances the solid partnership.
Jack Hopkins
CTO, Raveler Ltd
"Their flexibility and ability to work with multiple languages are impressive."
LYD showed high quality and flexibility and convinced us from day one with their high passion for delivering a great service. We currently evaluate further possibilities to further involve them in our initiatives and projects.
Luca van Skyhawk
VP of Customer Success, Hypatos GmbH
“I’m impressed with how easy our communication with the team is and how simple and effective the processes are."
Label Your Data’s support has been crucial in developing the client’s computer vision perception algorithms.
Piotr Swierczynski
Director of Engineering, NODAR
"The Label Your Data team was always available for questions."
Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client’s portfolio. The team was consistently available for questions or updates that needed to be added to the data set.
Josha Bharadwa
Software Architect, Searidge Technologies
"They are flexible, dedicated, and their processes are well organized."
Label Your Data sends out weekly data annotation for the client to review. So far, the platform hasn’t had any issues and they are focusing on enhancing the platform since it was launched in November 2020. Their expertise shows productive results as the project progresses.
Asad Lesani
CEO, Blue City Technology
Why Projects Choose Label Your Data
No Commitment
Check our performance based on a free trial
Flexible Pricing
Pay per collected object or per collected hour
Tool-Agnostic
Working with every labeling tool, even your custom tools
Data Compliance
Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA
Start Free Pilot
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Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.
Kyle Hamilton
PhD Researcher at TU Dublin
Trusted by ML Professionals
FAQs
What are data generation services?
Data generation services create realistic fake data, like GenAI images or personal details, to fill data gaps, improve training, and ensure privacy. Companies like Label Your Data offer high-quality synthetic data to help you work faster and smarter.
What is an example of data generation?
One example is creating GenAI images to train AI models to recognize objects. Another is generating fake personal data to safely test systems like document processors. Synthetic data replaces real data to solve issues like bias, privacy, or scarcity.
What is a data generator?
A data generator is a tool that makes synthetic data, like images or text. It uses algorithms to create data for tasks like training AI, testing systems, or simulating real-world scenarios.