Nimble, a web search startup, has recently closed a $47 million Series B funding round, with Norwest leading the investment, as reported by TechCrunch. The New York-based company specializes in utilizing AI agents to scour the internet in real-time, verify and validate search results, and organize the data into structured tables for easy querying, akin to a database.
One of Nimble’s key capabilities is its ability to transform raw search results into neat, structured formats that align with modern data tools. While AI agents excel at collecting and analyzing data from various sources, the challenge often arises in presenting this information in a user-friendly manner at an enterprise scale.
By converting search outcomes into tabular form, Nimble empowers organizations to seamlessly integrate web data with their existing databases, enhancing operational efficiency and data utilization. Moreover, Nimble’s integration capabilities with prominent data platforms like Databricks and Snowflake enable businesses to leverage their vast data repositories effectively.
“Nimble’s integration capabilities enable enterprises to incorporate live, structured web data into their current data ecosystems,” said Uri Knorovich, CEO and co-founder of Nimble. “This strategic approach not only streamlines data access but also enhances the quality and reliability of search outcomes, particularly beneficial for competitive analysis, pricing research, and KYC processes.”
Source: TechCrunch