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Feb 24, 2026 8:10 AM

Norwest Leads $47M Investment to Accelerate Nimble's Agentic Web Search Platform, Turning the Live Web into Reliable Data for Mission-Critical AI

Series B, with participation from Databricks Ventures and others, to fuel continued product innovation in unlocking live, verifiable web data with enterprise-scale accuracy and completeness

NEW YORK, Feb. 24, 2026 (GLOBE NEWSWIRE) -- Nimble, the only real-time web search and data platform that's trusted by hundreds of enterprises, today announced $47 million in Series B financing, bringing its total funding to $75 million. The round was led by Norwest, with participation from Databricks Ventures and all existing investors, including Target Global, Square Peg, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, and InvestInData. The funding will continue to accelerate Nimble's proven results across the market, enabled by a strategic ecosystem—including Microsoft and Databricks—that brings trusted live web data into production AI systems.

"The greatest source of intelligence for businesses and AI is the web, but the data is dynamic and hard to verify, which is why we built Nimble," said Uri Knorovich, CEO and Co-Founder of Nimble. "Businesses already run multi-agent systems where one agent searches, another verifies results from the web, and a third takes action, and Nimble's agentic search powers that loop with verified data from the web. We automate millions of actions per day, saving customers tens of millions of dollars annually and driving measurable topline impact."

While Google is built for consumers to navigate links and other AI search tools are built to summarize text-based answers, Nimble is designed to unlock and deliver enterprise-grade, granular knowledge for real-time business decisions. Nimble uses AI to automate web browsing and convert live internet data into curated and AI–ready / agent accessible tables, powering use cases such as retail pricing intelligence and bank-grade market research.

Funding to Support Growth and Platform Expansion

Teams that need accuracy are pushed into service vendors or maintenance-heavy scraping solutions, while today's answers delivered by AI systems still aren't verifiable or reproducible. The result is a lack of trusted, auditable live web data that widens ...