DataCebo

DataCebo develops the Synthetic Data Vault (SDV), an enterprise synthetic data platform built on an open-core foundation that enables organizations to generate AI-created synthetic data matching the properties, formats, and relationships of their real data. The platform supports structured, language, semi-structured, timeseries, and geospatial data types, with the ability to learn from unlimited interconnected tables. SDV Enterprise deploys on-premises or in private clouds with no data upload required, offering a low-code SDK, differential privacy guarantees, Constraint Augmented Generation for multi-table logic, and AI Connectors for database integration. The open-source SDV Community is trusted by over 70 Fortune 500 companies, with 10 billion-plus rows of synthetic data generated and 30,000-plus data scientists building AI models using SDV-generated data. Founded in 2020 and headquartered in Boston, Massachusetts, the company has raised approximately $8.5M in seed funding. DataCebo differentiates itself through pioneering synthetic tabular data research at MIT, with case studies including ING Belgium achieving 100x test coverage improvement and MAPFRE catching 31% more insurance fraud cases using synthetic data.

Software Testing Tools > Test Management > Test Data Generation,

AI Infrastructure > Enabling Technologies > Software > Training Data > Synthetic Data Platform > On Demand

Company Wise > Microsoft, Google,

College Wise > Massachusetts Institute of Technology, Cornell University, Stanford University