We (Dave and Arjun) began our undergraduate careers at Brown University in 2021 already studying AI together. Arjun had been training custom neural networks since middle school, and immediately roped Dave into his antics. As overambitious freshmen, we made awful matchmaking models for our classmates and misapplied deep neural nets in mathematical modeling competitions.

ChatGPT was released at the end of 2022, and with it came a typhoon of interest in AI. Dave and Arjun, at this point having honed our skills, began contracting for old bosses and friends of professors, designing and implementing custom transformer models under the moniker “KL Convergence”. Dave was quickly recruited by professors to assist in designing the curriculum for the now-hundreds of students taking AI courses at Brown, while Arjun dove deep into Mechanistic Interpretability, a field of research dedicated to understanding how these models work on the inside.

When we graduated in 2025, it was only natural that we should continue the work of KL Convergence. Now, our team services mid-market businesses, with special attention to the methodologies we learned at the start of the AI boom — methodologies that the rest of the industry seems to have forgotten.

Arjun is based in Cambridge, MA.

Dave is based in NYC, on the UWS.