"Synthetic data is the perfect input into machine learning and AI" - read the EU report on synthetic data
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How to generate synthetic data using MOSTLY AI’s synthetic data platform?

Generate high quality synthetic data using MOSTLY AI's synthetic data platform. Generate with the push of a button or configure as you wish. Our platform can serve the widest range of synthetic data use cases from generating AI/ML training data to automating realistic test data generation.
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Synthetic data for improving fraud detection
Step 1

Connect to your data source

MOSTLY AI's synthetic data platform supports a variety of data sources. Connect to your data source, for example, through an SQL server, PostgreSQL, an Oracle database, or connect data residing in your cloud storage buckets. MOSTLY AI's synthetic data platform can deliver accurate, privacy-secure synthetic copies of all of them.
Step 2

Configure your synthesization job

MOSTLY AI's synthetic data platform is fully automated. It analyzes your data and presents you with the optimal job configuration. Optionally, you can replace columns with mock data, allowing you to generate true-to-life transaction codes, phone numbers, or other types of IDs.
Step 3

Train and generate synthetic data

Our AI model now learns your data's patterns, statistical distributions, correlations, and time dependencies. This model will then be used to generate a synthetic copy. Once completed, your QA report is generated, providing granular details on privacy and accuracy.
Step 4

Share synthetic data with confidence

MOSTLY AI will upload the synthetic copy of your data source to a destination of your choice — your company's database server, cloud storage buckets, or your local machine — ready to be shared across departments and partnerships.
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