DataCebo

DataCebo offers SDV Enterprise, a platform for generating high-fidelity, privacy-safe synthetic data across single tables, multi-table schemas, and time series.

The DataCebo Blog is a collaborative effort by the team.

The page explains why machine learning is a key ingredient in synthetic data.

Based on feedback from real users, SDV's machine learning models have evolved to offer more choices, understand sequential data, and encode business logic.

Based on feedback from real users, SDV has evolved its workflows for generating synthetic data, including transformations, conditional sampling, and evaluation.

DataCebo in the news — press coverage, announcements, and media resources about synthetic data and the Synthetic Data Vault (SDV).

DataCebo has open roles in engineering, research, and other areas.

DataCebo is hiring a full-time customer success specialist in Boston, MA, or New York, NY.

DataCebo is hiring a full-time product designer in Boston, MA, or New York, NY.

DataCebo is hiring a full-time Python backend engineer for a remote role.

The page compares DataCebo pricing plans for SDV Enterprise.

DataCebo offers SDV Enterprise for building and owning a generative relational model of enterprise data within a customer's own environment.

SDV is enterprise software for building generative relational models of enterprise databases and powering synthetic data and AI training.

DataCebo Privacy Policy — official licensing agreement from DataCebo for SDV Enterprise.

DataCebo launches an enterprise version of its open-source Synthetic Data Vault (SDV) library. Co-founders Kalyan Veeramachaneni and Neha Patki created SDV while working at MIT’s Data to AI Lab, where the company’s roots date to 2016, before large language models were a widespread focus.

Dec 2023 · TechCrunchNews article