structured-data
(3)
Jason Auh
Jason Auh is Head of Sales and Customer Success at Sensible, the San Francisco developer platform that turns messy documents into structured, schema-validated data through its SenseML configuration language. A Dartmouth graduate who came up through enterprise sales at NetBase Quid, Jason sits at the seam between the engineering that builds Sensible and the customers who bet their workflows on it - and he writes candidly about where document AI actually breaks in production, not just in the demo.
Mike Tung
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
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.