Biography
We are the proud creators of the Synthetic Data Vault (SDV), the largest public ecosystem for synthetic data generation & evaluation.
Recent Posts
Why are comparisons to SDV Community misleading for enterprise evaluation?
Many vendors compare against SDV Community to signal enterprise readiness—but those comparisons often hide critical gaps. In real enterprise environments, these shortcuts break down. Here’s how to evaluate solutions the right way.
How DataCebo Supports Enterprises: Fast, Safe, and Effective
See how DataCebo enables enterprises to create generative AI models without needing to access their data. With fast debugging, seamless integration, and robust testing, it makes scalable adoption possible.
Synthetic Data in 2024: The Year In Review
Check out how 2024 has been the biggest year for synthetic data. Google, Apple, Meta, OpenAI all emphasized the importance of using synthetic data in their AI model development. While Snowflake, Databricks, DataCebo and several others released new tooling required to create synthetic data.
Boosting Fraud-Detection Accuracy with Synthetic Data
Using a model from the Synthetic Data Vault (SDV), a UCLA team has shown that credit card fraud-detection can be dramatically improved by generating synthetic case data consistent with past examples of fraud. They show that they can reduce the false negatives by a factor of 20x.
Why we changed the SDV license to BSL (and how that impacts our users)
The Business Source License allows the SDV team to continue innovating while also enabling many types of usage.
Announcing SDV 1.0: Towards programmable synthetic data stack
The SDV 1.0 library has formalized key principles for generative AI. See what's new and enrich your synthetic data project.
The SDV in 2022: Never a Dull Moment
A 2022 year-end review of the SDV and what you can expect in 2023.
Blog Authors
The DataCebo Blog is a collaborative effort by the team.
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