Nimble Secures $47 Million Series B to Accelerate Agentic Web Search Platform

Nimble has announced the successful closing of a $47 million Series B funding round to further its agentic web search platform, providing real-time and verifiable web data for enterprises and AI-based applications. The funding round was led by Norwest, with the participation of Databricks Ventures and all existing investors, allowing the company to move faster on product innovation and adoption of its platform.

Nimble’s platform transforms live web data into structured, enterprise-grade information that can be used to power AI agents and business decision systems with accuracy, governance, and scale. By making the internet’s dynamic data computable and reliable, Nimble helps organizations eliminate uncertainty in external intelligence and move beyond incomplete, static, or unverifiable sources.

“We’re announcing our Series B today, led by Norwest. This funding enables us to accelerate our mission to be the infrastructure for all AI agents to search the web and make external truth accessible for all,” said Uri Knorovich Co-Founder and CEO Nimble .

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Enterprise customers including Fortune 500 banks, top-tier consulting firms, and leading retail and consumer packaged goods companies are already using Nimble’s platform to monitor markets, track competitors, and deliver fresh, verifiable data into analytics and AI applications. Additionally, AI-native startups leverage Nimble as the foundation for agentic products that require reliable web data to drive outcomes.

The Series B investment expands Nimble’s strategic ecosystem partnerships, including deeper collaboration with Databricks, which joined as an investor, as well as longstanding support from other major backers who share the company’s belief that enterprise AI must be grounded in trusted, operationally reliable data.

Nimble’s real-time agentic search infrastructure supports coordinated, multi-step workflows that search, navigate, extract, validate, and structure web data into curated datasets ready for analysis, business intelligence, and AI systems. The funding will further drive research and development in multi-agent web search technologies, governed data layers, and APIs for developers and enterprise customers.