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Nimble raises $47M to give AI agents access to real-time web data

ThinkingNews Desk · how this was written

Nimble has secured a $47 million Series B round, bringing its total funding to $75 million, to expand its AI-driven platform that structures real-time web data into queryable tables. The platform employs a coordinated multi-agent architecture that searches and validates live internet information, delivering a governed data layer with reported 99 percent accuracy and aiming to close the guesswork gap in AI systems.

Written from all 3 reports below, not from any single one.

How it was reported

  1. TechCrunch·
    Nimble raises $47M to give AI agents access to real-time web data

    Nimble uses AI agents to search the web and structure information into tables. The company has raised $47M to give AI agents access to real-time web data. This allows for verified and validated results to be queried like a database.

  2. TechMeme·
    Nimble, whose AI agents structure real-time web data into tables that can be queried like a database, raised a $47M Series B, bringing its total funding to $75M (Ram Iyer/TechCrunch)

    Nimble's AI agents structure web data into tables for querying. The company raised $47M in Series B funding, totaling $75M. Web search remains a thriving industry with businesses investing in AI agents.

  3. VentureBeat·
    The era of human web search is over: Nimble launches Agentic Search Platform for enterprises boasting 99% accuracy

    Nimble launches Agentic Search Platform for enterprises with 99% accuracy. The platform uses a coordinated multi-agent architecture to search and validate live internet data. It aims to eliminate the "guesswork gap" in AI systems by providing a governed data layer.

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