Bio
Jeffrey Wang is the co-founder of Exa, an applied AI lab building a search engine for the age of AI. He studied CS at Harvard and previously worked at Plaid before leaving to tackle a problem he believed would become foundational: giving AI systems access to better information.
Over the past several years, Jeff has helped build Exa from the ground up, leading product, go-to-market, and company building alongside the development of Exa's search and retrieval infrastructure. Today, Exa powers search and research for leading AI companies and hundreds of thousands of developers.
Jeff believes that the intelligence of any AI system is ultimately limited by the quality of information it can access. His work at Exa is driven by a simple goal: build search that helps both AI and humans better understand the world.
Session (1)
Additional Speaker Details
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Jeffrey Wang is co-founder of Exa, the AI-native search engine built to index and serve the web for LLMs and AI agents (Exa raised a $250M Series C at a $2.2B valuation in May 2026, led by a16z). Attendees building AI products that need real-time web grounding will find first-hand practitioner perspective on what it takes to rebuild web search — crawler, embeddings, and serving infrastructure — for AI consumers rather than humans.
