Mike Tung is the founder and CEO of Diffbot, the company behind the world's largest automated knowledge graph — a continuously-rebuilt database of 10+ billion entities and over a trillion facts extracted from the open web. A UC Berkeley EECS graduate and Stanford AI lab dropout, Tung spent 15+ years building Diffbot with minimal funding (under $15M total) into a platform used by Microsoft Bing, DuckDuckGo, Snapchat, and 400+ enterprises. In January 2025 he launched the Diffbot LLM, an open-source language model grounded in the knowledge graph, achieving top factual accuracy benchmarks among sub-100B models.
Jeremy Fraenkel is the CEO and co-founder of Fundamental, the AI lab that emerged from stealth in February 2026 as a $1.4 billion unicorn with $255 million in funding. A DeepMind alumnus with a graduate degree in Machine Learning from UC Berkeley, Fraenkel previously cut his teeth at JPMorgan and Bridgewater Associates before founding and exiting two startups. At Fundamental, he and co-founders Marta Garnelo (Chief Science Officer, ex-DeepMind/Isomorphic Labs) and Gabriel Suissa are building NEXUS, a Large Tabular Model that does for structured enterprise data what LLMs did for language - delivering accurate predictions from raw tables with a single line of code, no preprocessing required.