# Datacebo

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/datacebo
- **Dataset:** https://optimly.ai/brand/datacebo.json
- **Markdown:** https://optimly.ai/brand/datacebo/llms.txt
- **Official website:** https://datacebo.com
- **Slug:** datacebo
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** Builds enterprise-owned generative relational models (GRMs) of complex, multi-table databases, allowing data to remain within the customer's secure environment. It provides highly realistic, privacy-safe synthetic data that accurately reflects relationships and business rules, enabling diverse applications like enhanced software testing, improved AI model training, and privacy-compliant market research and data sharing.
Source: Brand's website (https://datacebo.com) · 2026-10-04

- **Description:** DataCebo provides enterprise software and an open-source library (SDV) for building generative relational models (GRMs) of complex, interconnected databases. These models are used to generate high-quality, privacy-safe synthetic data for various enterprise applications such as software testing, AI model training and evaluation, and market research and simulation, all within a secure, customer-owned environment.
Source: Brand's website (https://datacebo.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - SDV Enterprise (enterprise software for GRMs and synthetic data)
  - SDV Community (source-available Python library for GRMs and synthetic data)
  - SDMetrics (synthetic data quality evaluation)
  - SDGym (synthetic data generation benchmarking)
  - Reversible Data Transforms (data transformation library).
Source: Brand's website (https://datacebo.com) · 2026-10-04

- **Pricing:** Offers SDV Community as a source-available Python library and SDV Enterprise with various paid plans (as indicated by 'SDV Plans' on the pricing page).
Source: Brand's website (https://datacebo.com) · 2026-10-04

## Audience

- **Target industry:** Enterprises, data scientists, software developers, AI/ML engineers, and researchers across industries like financial services, insurance, healthcare, and any organization requiring privacy-safe, production-like data for testing, training, or simulation.
Source: Brand's website (https://datacebo.com) · 2026-10-04

Page last updated 2026-10-17.