Top 15 Synthetic Data Companies for Your Business in 2025

In today’s data-driven world, you can’t overstate the importance of high-quality data. Synthetic data companies are essential partners that work with businesses of all kinds.  These businesses specialize in creating artificial datasets that replicate real-world data. They provide a reliable, privacy-compliant alternative for powering your analytics, machine learning, and research activities.

If you’re looking for synthetic data companies, look no further. This blog lists companies that provide synthetic data products and services.

What is Synthetic Data?

Synthetic data is artificially generated data replicating real-world data’s characteristics and patterns without holding sensitive or personally identifiable information. Synthetic data is a safe alternative to real data, making it useful in various areas such as healthcare, banking, and technology. Using synthetic data generated from real data increases privacy and utility.

Synthetic data companies specialize in the creation of these artificial datasets through the use of modern algorithms and statistical approaches. They carefully design synthetic data to replicate the structure, distribution, and correlations observed in real datasets while eliminating any potential privacy concerns associated with existing data.

These companies are all about giving businesses a safe and fair way to use data for things like studying info, training smart computers, and doing research. With synthetic data, companies can do many tests, train their computer programs, and share data without worrying about breaking rules or sharing secrets.

Importance of Synthetic Data in Various Industries

Synthetic data provides significant benefits in several important industries. It offers adaptable solutions to data-related problems while fostering innovation and progress. Here’s a look at why synthetic data is valuable in different sectors:

• Privacy and Compliance: Synthetic data helps companies comply with strict data protection laws. It lets your companies test compliance and security without exposing data.
• Healthcare and Medical Research: Synthetic health data helps clinical trials, drug development, and research without violating patient privacy. You can use this artificial data in training AI models for disease prediction, diagnosis, and healthcare management.
• Finance and Banking: In the financial sector, synthetic data is used for risk assessment, fraud detection, and compliance testing. Your financial firms can test trading and investment strategies with it.
• Machine Learning and AI Development: You need synthetic data to train and fine-tune machine learning models in natural language processing, computer vision, and speech recognition. It will help you develop AI by creating big, diversified datasets for robust model performance.
• Cybersecurity: You can rely on synthetic data to train cybersecurity algorithms for threat detection and network protection. Using these data, your small business can test security measures without revealing vulnerabilities and improve cybersecurity.
• Education: You can use synthetic data for research, curriculum development, and training, which offers important educational content and simulations. It will support your educational and training initiatives across various disciplines.

Top 15 Synthetic Data Companies in 2025

Here are some of the top synthetic data companies known for their expertise in generating synthetic datasets across various industries:

01. Hazy

Hazy specializes in synthetic data generation with a heavy emphasis on data privacy and compliance. They offer solutions for generating synthetic data that seem like actual data while protecting sensitive information. Their expertise covers a variety of fields, including healthcare, banking, and technology.

02. Sogeti

Sogeti is a solution by the Sogeti Testing AI team. It is a multinational technology, engineering services, and synthetic data company that provides synthetic data solutions. They offer experience in data engineering and analytics, including synthetic data generation, to assist companies in various industries in utilizing the power of data while complying with privacy regulations.

03. Epistemix

Epistemix is a company focused on advanced statistical modeling and the generation of synthetic data, with a strong emphasis on applications in healthcare and public health.

Key areas of expertise include:

• Synthetic healthcare data creation for research and simulation purposes

• Disease spread modeling, supporting epidemiological forecasting

• Data-driven public health planning, aiding policy makers and researchers

Their solutions are particularly valuable for scenarios where real patient data is inaccessible or limited due to privacy concerns, enabling more informed decisions in public health strategy and research.

04. Mostly AI

Mostly AI is a synthetic data platform specialized in creating synthetic data, with data protection and compliance as top priorities. It generates realistic data based on real data sets. They create synthetic data for a variety of industries, allowing organizations to undertake analytics, machine learning, and research while protecting customer data.

05. Facteus

Facteus primarily serves the financial industry with data analytics solutions, including synthetic data generation. Their specialty is providing actionable insights while protecting data privacy and security.

06. Synthesis AI, Inc.

Synthesis AI specializes in generating synthetic data to support AI model development across multiple industries. Their platform enables safe, scalable data generation when real-world data is sensitive, limited, or restricted.

They serve a range of sectors, including:

• Healthcare: Creating synthetic patient data for training models in diagnostics and medical analysis while preserving privacy.
  
• Banking & Finance: Generating artificial financial transactions and user profiles to support fraud detection and risk modeling.
  
• Retail: Simulating customer behavior and purchase data for improving recommendation systems and demand forecasting.
  

By using synthetic data, organizations can:

• Protect sensitive information
  
• Reduce dependence on real-world datasets
  
• Accelerate model training and testing
  

Synthesis AI helps companies leverage data safely and efficiently, enabling innovation without compromising privacy or compliance.

07. Datavant

Datavant provides solutions for private data sharing, including synthetic data synthesis. Their expertise enables companies to develop synthetic datasets suitable for various industries while preserving data security and regulatory compliance.

08. Statice

Statice specializes in developing privacy-preserving synthetic data for structured and unstructured data. They specialize in data anonymization and security for areas such as healthcare, banking, and technology.

09. Tonic.ai

Tonic.ai offers synthetic data generation services with a focus on data privacy and security. Their competence lies in creating realistic synthetic datasets for structured and unstructured data in various industries.

10. Kroop AI

Kroop AI is a synthetic data engine designed to support AI and machine learning development by generating high-quality synthetic datasets. Their technology enables organizations to overcome data limitations, privacy concerns, and the need for large-scale annotated data when training models.

Key capabilities include:

• Creating diverse and realistic synthetic datasets

• Supporting AI model training across various domains

• Enabling safe and scalable data generation for research

By offering tailored synthetic data solutions, Kroop AI helps companies accelerate innovation while maintaining control over data privacy and compliance.

11. Colossyan

Colossyan provides synthetic data services for a variety of businesses, with a focus on data privacy and compliance. Their experience includes banking, healthcare, and retail.

12. SBX Robotics

SBX Robotics is a robotics and one of the synthetic data vendors that specializes in synthetic data. Generating synthetic training data to train robotic systems and test autonomous cars is one of their specialties.

13. AGICortex

AGICortex provides artificial intelligence (AI) and machine learning (ML) data solutions. Their expertise assists in creating synthetic datasets for training and testing AI algorithms.

14. Dedomena

Dedomena provides synthetic data services to a variety of sectors. Their expertise enables businesses to create artificial datasets for analytics, research, and development.

15. MediSyn

MediSyn specializes in synthetic data solutions for the healthcare industry, most likely providing services for generating synthetic healthcare data. Using its own ML generator, the platform runs realistic simulations on electronic health records (EHRs) and develops high-fidelity, high-dimensional patient databases and drug data.

If you want to learn more, read this blog: 11 Best Synthetic Data Generation Tools in 2025

Conclusion

Synthetic data companies have become crucial partners in today’s data-driven landscape. They provide unique solutions that bridge the gap between the huge demand for data and the necessity of privacy and compliance. These companies are experts at creating synthetic data that closely resembles real-world data while protecting sensitive information.

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It means we can do surveys, experiments, and research while keeping people’s data private and following rules. This helps us learn and make discoveries while doing the right thing with data. Start your journey today!