Kalyan Veeramachaneni

Kalyan Veeramachaneni

Boston, MA

Core Contributor

Biography

Kalyan is a Principal Research Scientist at MIT, leading a group called Data-to-AI. A 3-time startup founder, Kalyan is interested in big data science and deployable machine learning systems.

Recent Posts

Critical capabilities for AI-generated synthetic test data
Applications

AI coding assistants have made the shift-left testing urgent. Synthetic data can help, but only if it captures far more than statistical realism.

Kalyan Veeramachaneni • September 28, 2026
SDV 2.0 : Generative relational models for enterprise relational data
Product

SDV 2.0 turns any enterprise database into a Generative Relational Model, a reusable AI asset trained on your own proprietary data.

Kalyan Veeramachaneni and Neha Patki • September 15, 2026
Enterprise AI should train where enterprise data lives
Applications

Should enterprises access AI through an API which involves sending those labs their proprietary data? Or should they access AI by installing open source models on-premises and further training them on enterprise-specific data?

Kalyan Veeramachaneni • August 19, 2026
The Most Important Open Source Demographic That No One Thinks About
Community

How we define a user in 2023 to build a community around synthetic data.

Kalyan Veeramachaneni • January 23, 2023
The SDV in 2021: A year in review
Company

In this article, we summarize SDV growth – downloads as well as community building – that indicates increasing market demand for synthetic data.

Kalyan Veeramachaneni • January 03, 2022

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