Believe it or not, web search is still thriving as an industry. As businesses invest in using AI agents to make the most of their data, there’s demand for tools that not only scrape the web to inform what those AI bots do, but also return those results in a way that’s easier to use with modern data tools. That’s the promise behind web search startup Nimble , which recently raised a $47 million Series B round, led by Norwest. The New York company’s platform employs AI agents to search the web in real time, verify and validate the results, and structure the information into neat tables that can then be queried like a database. That last part is crucial here. LLMs and AI agents are great for searching the web, connecting results from a variety of sources, and analyzing them, but they often return the results in plain text, which can be difficult to work with at an enterprise level.…