The commercial version of SDV is designed to handle up to a hundred tables, compared to the open-source version which can only handle a few. The company, which currently has 11 employees, plans to expand its team to around 20 in the next year. The seed funding round was led by Link Ventures and Zetta Venture Partners, with participation from Uncorrelated Ventures.
Key takeaways:
- DataCebo, co-founded by Kalyan Veeramachaneni and Neha Patki, has developed an open-source library called Synthetic Data Vault (SDV) that uses generative AI to create synthetic data for companies.
- The company has recently emerged with an enterprise commercial version of SDV and has secured $8.5 million in seed funding.
- The synthetic data created by SDV can be used in various sectors, including healthcare and financial services, where sensitive data needs to be hidden for testing and model building purposes.
- The commercial enterprise version of SDV can handle up to a hundred tables, while the open-source version is designed to handle just a few tables. The company plans to expand its team in the coming year.