
In an era where web search remains a vibrant industry, the demand for innovative tools that empower AI agents is on the rise. Nimble, a New York-based startup, has successfully raised $47 million in a Series B funding round led by Norwest, aiming to transform how businesses utilize web data. Nimble’s platform harnesses the power of AI agents to conduct real-time web searches, ensuring that results are verified and validated before being organized into structured tables. This approach addresses a significant challenge within enterprises: while large language models and AI agents can retrieve information from diverse sources, they often deliver the results in plain text, complicating data handling for businesses. The risk of inaccuracies and unreliable sources further complicates matters. By structuring its findings into easily queryable tables, Nimble allows organizations to treat web data as an integral part of their existing databases. Moreover, the startup’s technology seamlessly integrates with enterprise data warehouses and lakes provided by major players like Databricks and Snowflake, enriching business data with contextual insights. According to CEO and co-founder Uri Knorovich, this integration enables Nimble’s AI agents to remember specific parameters for search executions and data sources, making it particularly beneficial for tasks like competitor analysis, pricing research, and customer insights. Importantly, Nimble ensures that all customer data stays within the client's infrastructure, adhering to data retention and security regulations. To facilitate enterprise deployments that require internal data access, Nimble has formed partnerships with Databricks, Snowflake, AWS, and Microsoft. Knorovich emphasizes that the current landscape shows enterprises need reliable web search capabilities alongside AI to boost trust and broaden use cases effectively. Nimble's distinctiveness lies in its ability to perform real-time web searches at scale while validating and structuring results—setting it apart from other data brokers. The startup currently serves over 100 clients, primarily large enterprises, including several Fortune 500 and Fortune 10 companies. As Assaf Harel of Norwest stated, Nimble is addressing a longstanding issue that has reached critical importance. The need for trustworthy live web data is becoming essential for AI agents that influence significant business decisions. The latest funding round will support further research and development in multi-agent web search and a governed data layer for processing and validating results. With this, Nimble has now raised a total of $75 million.
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