MOSTLY AI

MOSTLY AI offers a synthetic data platform designed to generate privacy-safe synthetic versions of datasets, enabling users to maintain data privacy while leveraging their data for various applications. The platform supports a range of use cases including data democratization, external data sharing, product design and development, representative test data generation, AI/ML development, and ensuring fairness and explainability in AI/ML models. Users can generate synthetic data for tabular datasets, including single-table, two-table, and multi-table setups, as well as for time-series and event data. The platform includes features for data rebalancing, smart imputation, and temperature control for distribution experiments, and maintains referential integrity across complex data structures. MOSTLY AI provides a free version of its synthetic data generator, allowing up to 100,000 rows per day, and offers a Python client for controlling data generation directly from a Python environment. The platform integrates with popular databases and cloud storage providers such as MySQL, PostgreSQL, SQL Server, Oracle, MariaDB, Apache Hive, Snowflake, BigQuery, Databricks, Microsoft Azure blob storage, Google Cloud object storage, and Amazon AWS object storage. Users can create connectors for databases and cloud storage buckets to be used as data sources or destinations. Detailed data insights reports, including univariate and bivariate distributions and correlations, as well as detailed QA and privacy and accuracy reports, are provided for each synthetic data batch. The platform supports deployment via Kubernetes/OpenShift for efficient resource management and scalability, and offers various deployment options including SaaS, cloud marketplace, and custom deployment. Additionally, MOSTLY AI supports the use of service principals for authentication with Azure and Databricks connectors and offers a subscription-based newsletter with updates on synthetic data news, developments, and research.