How to generate synthetic data using MOSTLY AI’s synthetic data platform?
Generate high quality synthetic data using MOSTLY AI's synthetic data platform. Do it simply with the push of a button or configure as you wish. We know that each synthetic data use case comes with unique demands. Our platform can serve the widest range of synthetic data use cases from generating AI/ML training data to provisioning realistic test data.
Step 1
Connect to your data source
MOSTLY AI's synthetic data platform supports a variety of data sources. Connect to your SQL server, PostgreSQL, Oracle database, or data residing on your cloud storage buckets. Our platform can deliver accurate, privacy-secure synthetic copies of all of them.
Step 2
Configure your synthesization job
MOSTLY AI's synthetic data platform works 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.
