Nimble, a startup building an agent-based real-time web search and data platform, has raised $47 million in a Series B funding round. This brings its total funding so far to $75 million.
The round was led by Norwest Fund, with participation from Databricks Ventures and existing investors such as Square Peg, Target Global, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, and InvestInData.
Nimble was founded in 2021 by Uri Knorovich (CEO) and Menachem Salinas (CRO).
The company has around 120 employees, with about 70 working at its development center in Israel and the rest based at its headquarters in New York.
“We have been building Nimble quietly for four years. Now it’s our time to step into the spotlight,” Knorovich told Calcalist. “We previously sold Cyronix, a cybersecurity company, and I realized that at Nimble, we were creating something bigger. We built a strong infrastructure to solve one of the biggest gaps in enterprise search. Agents are capable of doing many things, but business search at the level of accuracy organizations need hasn’t existed. Google serves consumers well, but companies require specialized, reliable search systems.”
One notable investor is Databricks. Knorovich explains, “Databricks invested because our platform allows enterprises to integrate search directly into their Databricks environment, keeping data internal. Nimble enables real-time information retrieval from the web to inform business decisions. Agents are becoming the new interface for the Internet, and our platform grows in value as more users leverage it.”
Despite competition from AI giants such as Claude, Nimble positions itself as complementary and trustworthy. “We collaborate with major labs, including Claude and Cursor, to produce excellent search infrastructure. While Claude automates decision-making, the search layer is ours. Trust is a key differentiator, our clients rely on us for verified, dependable information.”
Nimble’s platform takes huge amounts of information from the Internet and turns it into clear, reliable data that businesses can use with AI. Its AI tools can browse websites, use APIs, collect information, and check that it’s correct. The data is then cleaned, duplicates are removed, and it’s organized into easy-to-use tables for important business decisions.
Nimble works with hundreds of companies where accurate data is crucial. Some of their clients include LG, Deloitte, Uber, L’Oréal, Coca-Cola, and Tripadvisor.
These companies use Nimble to quickly check information, set prices, research markets, improve media strategies, and understand what people are saying online.
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