In its latest Series B, Nimble secured funding from returning investors such as Target Global, Square Peg, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, and InvestInData, bringing total raised to about $75 million.

Proceeds from the round will be allocated to expanding multi-agent web search capabilities and to building a governed data layer that validates and processes search results.

Nimble targets enterprise use cases like real-time due diligence, dynamic pricing, rapid market research, media strategy optimization, and analysis of online discourse, counting LG, Deloitte, Uber, L’Oréal, Coca-Cola, and Tripadvisor among its hundreds of customers.

Company leadership emphasizes a gap in enterprise search accuracy compared with consumer search, arguing that reliable, up-to-date data is essential as AI models often grapple with partial or outdated information.

Nimble was founded in 2021 and now has about 120 employees, with roughly two-thirds based in Israel and the remainder at its New York headquarters.

A major consultancy firm with 180,000 employees plans to adopt Nimble, potentially generating millions of searches per hour for that client.

The platform prioritizes accuracy and reliability, enabling large-scale searches within enterprise AI infrastructures while avoiding unverified sources.

Market valuation is not disclosed, but estimates place Nimble at a $400–450 million valuation following the funding round.

Nimble’s Series B, led by Norwest and including Databricks Ventures and existing investors, brings total funding to $75 million and aims to enable real-time web search, result verification, and structuring into usable tables for AI.

The round also positions Nimble to expand its ecosystem with Microsoft and Databricks to deliver reliable live web data into production AI systems.

The company is forging strategic integrations with Microsoft and Databricks to feed live web findings directly into established data and AI environments, reducing dependence on third-party scraping services.

Nimble offers a real-time web search and data platform where autonomous agents navigate websites and APIs to collect, verify, and convert data into structured, queryable tables for enterprise decision-making, while integrating with internal datasets to reduce reliance on unstable external scraping.