DataCebo, a Boston, MA-based provider of Generative AI solutions to enhance developer productivity, raised $8.5M in Seed funding.
The round was led by Link Ventures and Zetta Venture Partners. Uncorrelated Ventures also participated.
The company intends to use the funds to advance its product and to build a go-to-market team.
Led by Kalyan Veeramachaneni (CEO) and Neha Patki (vice president of product), DataCebo has just launched SDV Enterprise, a commercial offering of the open source product, Synthetic Data Vault (SDV). With SDV Enterprise, developers can build, deploy and manage generative AI models for enterprise-grade applications when real data is limited or unavailable. SDV Enterprise’s models create synthetic data that is statistically similar to original data so developers can effectively test applications and train ML models. SDV Enterprise is currently in beta with the Global 2000. is a developer for productivity at enterprises by leveraging generative AI.
Key features include:
- Scalability: developers can train a generative AI model with much larger datasets and complex schemas with hundreds of interconnected tables
- Deep Data Understanding: developers can train models that understand the deeper meaning behind real world data concepts like the structure of a phone number and which geographical areas it represents
- Programmability: developers can fine-tune the generative AI model stack using low-code APIs by supplying their data schema, business logic and evaluation criteria
- Integration: developers can deploy synthetic data applications by ingesting and exporting data in a variety of different formats
- Management: developers can manage multiple synthetic data applications, track changes and update their generative AI models as their applications grow and change
FinSMEs
07/12/2023