HEADLINE: Nimble Raises $47M Series B to Structure Real-Time Web Data for AI Agents
LEAD: Web data startup Nimble closed a $47 million Series B round led by Norwest, positioning itself to serve enterprises deploying AI agents that need structured, queryable information from live web sources rather than plain-text search results.
THE STORY: Nimble's platform uses AI agents to search the web in real time, verify results, and convert unstructured data into structured tables that can be queried like databases—addressing a friction point for enterprises using LLMs and AI agents at scale.
The New York-based company's approach tackles a specific problem: while AI agents excel at web search and analysis, they typically return results as plain text, which creates integration challenges for enterprise data workflows. Nimble's structured output format aims to make AI-sourced web data usable alongside traditional database queries.
The round signals investor confidence that web search remains a viable business as companies build out AI agent infrastructure.
WHAT'S NEXT: Watch whether Nimble's database-style output becomes standard for enterprise AI agent tooling, or whether competitors adopt similar approaches.
Responses (0 )