Search is evolving from a human-centric tool for quick answers into a critical infrastructure for AI agents that require deep, comprehensive, and highly controllable data retrieval. Unlike traditional search engines optimized for human click-throughs, agentic search must handle complex, multi-step queries and massive data volumes to support autonomous workflows. This shift addresses the "tokenpocalypse" by allowing smaller, specialized models to leverage efficient retrieval systems rather than relying solely on massive, expensive models. Exa, led by CEO Will Bryk, is building a search engine specifically for this agentic economy, prioritizing semantic precision and customizability over simple keyword matching. By treating search as a foundational layer for intelligence, these systems aim to solve complex problems—from go-to-market intelligence to scientific discovery—by providing the accurate, structured information necessary for agents to function reliably at scale.
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