Jeffrey Wang
Co-founder, Exa
Speaking in 1 session at AI Engineer World's Fair 2026 — unofficial import demo
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.
Sessions
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.