Data-driven product development with realistic, privacy safe synthetic test data

Put life into your products, shorten development cycles, and save costs on test data provisioning with realistic and privacy-compliant synthetic test data.


One of our clients wanted to create a new mobile banking app. The product team cut off from core production had to use dummy data, which was nowhere near the level of complexity and volume needed. Fresh, large batches of self-service synthetic transaction data made their product come alive. 

The product team identified and fixed a myriad of different issues on time and could demo the app to stakeholders, gaining valuable support throughout the organization.

The realistic synthetic test data also helped them deliver new data-driven product features, speed up UX design decisions, made development more efficient, and ultimately resulted in a more user-friendly and robust product.

QA and testing challenges

  • Product development is increasingly data-intensive, while data access for product development is more and more restricted. 
  • Large volume, quality production data is locked away due to privacy policies and limiting legacy systems. 
  • Using traditional data masking tools to anonymize production data for testing endangers users’ privacy.
  • Product innovation often happens outside the walls of large institutions as third-party vendors become a vital part of the development process, further complicating access issues. 
  • As a result, data provisioning can take weeks to months, requiring the involvement of specialists and different departments. 
  • Developers often end up manually populating environments that fail to provide the scale and complexity necessary for developing robust, customer-centric products.

The synthetic test data solution

MOSTLY AI’s easy to use synthetic data platform empowers you to create a realistic production environment with synthetic copies of your behavioral data, matching the look and feel, the size and shape of the original data environment. The resulting synthetic test data is exempt from privacy regulations and can be readily shared outside of the walls of heavily protected institutions, like banks and health insurance providers. Product development sprints get shorter, cheaper, and most importantly your product comes to life well before its launch.


  • MOSTLY AI guarantees unparalleled accuracy, even for complex behavioral data assets. Our platform empowers product teams to develop customer-centric products and to offer truly personalized experiences. 
  • Synthetic data does not classify as personal data, opening up air-gapped data environments in a safe and agile way.
  • Using MOSTLY AI’s synthetic data shortens your development cycle by several days every sprint, saving development costs and making a world of difference to your product and ultimately, to your customers.  
  • MOSTLY AI’s synthetic data platform is an easy-to-use, flexible, enterprise-ready and privacy-compliant solution that has been assessed by several external auditors. 
  • Create realistic copies of various raw data input types, including behavioral and transactional tables.
  • Automated QA reports enable you to assess the privacy and accuracy of the data quickly and easily.

Success story: Top European bank developed #1 banking app using synthetic test data generation

Would you like to learn how you can use synthetic data for testing?

Our team is happy to help you with all of your synthetic data use cases!