Nimble Secures $47M to Revolutionize Enterprise Web Data for AI
February 27, 2026, 5:05 pm
Slow Ventures
Location: United States, California, San Francisco
Employees: 201-500
Founded date: 2009
Total raised: $145M
Nimble, a New York-based agentic web search platform, secured $47 million in Series B funding. This investment propels its mission. Nimble delivers real-time, decision-grade web data to enterprises. Total funding now stands at $75 million. The platform fuels AI systems and critical business workflows. It bypasses traditional web search and AI summarization. Nimble focuses on verifiable, structured data. Key partnerships include Microsoft and Databricks. The new capital accelerates product innovation. It also expands its agentic search capabilities. Nimble transforms dynamic web information into actionable business intelligence. It serves high-stakes environments like financial due diligence and retail pricing intelligence. This positions Nimble as crucial for modern AI deployments.
Nimble has achieved significant new funding. The company secured $47 million in Series B financing. This elevates total funding to $75 million. Norwest led this latest investment. Databricks Ventures also participated. Existing investors reaffirmed their support. These include Target Global, Square Peg, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, and InvestInData. This capital injection fuels ambitious growth. It accelerates product innovation. It expands Nimble's agentic web search capabilities.
The modern enterprise faces a data dilemma. The web holds immense business intelligence. Yet, this data is inherently dynamic. Its verification presents a constant challenge. Traditional consumer search engines offer broad results. They lack enterprise-grade precision. AI summarization tools often generate text. This text frequently lacks reproducibility or source attribution. Businesses demand more. They require accurate, verifiable data. They need structured, actionable insights. Nimble directly addresses this critical market need.
Nimble delivers an agentic search platform. It transforms the live web. It converts public internet data into decision-grade intelligence. This data is explicitly structured. It is optimized for advanced AI systems. It supports critical business workflows. High-stakes operational environments demand unwavering accuracy. Consider retail pricing intelligence. Minute-by-minute changes affect revenue. Financial due diligence requires unassailable facts. Bank-grade market research necessitates precise, current information. Prior approaches proved inadequate. Reliance on service vendors incurred high costs. Maintenance-intensive scraping solutions became burdensome liabilities. Nimble offers a robust, scalable alternative.
The platform employs sophisticated, coordinated agents. These agents autonomously navigate the web. They operate within real browser environments. A governed data layer meticulously processes all acquired results. It conducts rigorous analysis. It performs extensive cross-checking. It then structures the verified data. This forms schema-first tables. These tables are fully queryable, much like a traditional database. This methodology ensures paramount correctness. It guarantees data completeness. It provides unparalleled control over all data outputs. Fortune 500 enterprises now stream trusted web data. It flows directly into their essential workflows. This strategic shift replaces outdated legacy data vendors. It also supersedes unreliable, traditional scraping methods.
Nimble's platform presents dual-purpose functionality. Its Web Search Agents constitute a no-code AI workflow builder. This empowers non-technical teams. They configure agents with ease. These agents navigate complex websites. They stream live, structured data in real time. This capability connects enterprises directly to the web. It eliminates the heavy "engineering tax" associated with custom solutions. Concurrently, the Web Tools SDK provides comprehensive APIs. This caters to developers and builders. They leverage these APIs for searching, extracting, and crawling the web. It removes the inherent hassle of managing complex scraping infrastructure.
Strategic collaborations amplify Nimble's impact. The company actively partners with Databricks. It also maintains a strong alliance with Microsoft. These partnerships critically support enterprise AI deployments. Such deployments demand real-time web data access. This data must seamlessly integrate with internal proprietary data sources. Integrations include Delta Sharing support with Databricks. Vital connections exist to Microsoft's extensive enterprise AI environments. Nimble thus empowers organizations. It helps them operationalize advanced AI systems. These systems critically depend on current, external web data.
Nimble's technological foundation is cutting-edge. It harnesses leading AI models. Innovations from OpenAI, Anthropic, and open-source contributions from Meta drive its agents. These multimodal, browser-based agents do not merely summarize. They intricately control real browser instances. They navigate dynamic websites. They execute meticulous cross-checks on results. They ultimately produce auditable, decision-grade data outputs. This capacity is indispensable for long-running workflows. It is vital in highly regulated, high-stakes environments. The core mission is delivering verified data. It is not generating generalized text summaries. The company automates millions of daily actions. This translates into substantial cost savings for customers. It also drives measurable top-line revenue growth.
Nimble maintains its headquarters in New York. Uri Knorovich leads the company as CEO and Co-Founder. The corporate vision is unambiguous. It aims to furnish businesses with indispensable web intelligence. This intelligence must be robustly reliable. It must be easily verifiable. It must remain fully controllable. Nimble democratizes access to trusted live web data. This access is a critical prerequisite. It underpins modern AI agents. These agents increasingly perform crucial business decisions. Enterprises demand unwavering confidence. They need it in their AI deployments. Nimble provides that foundational requirement. It facilitates the transition of AI initiatives. It moves them from experimental phases directly into confident production. The company vigorously expands its research. This includes multi-agent web search. This commitment ensures sustained innovation and market leadership.
Nimble has achieved significant new funding. The company secured $47 million in Series B financing. This elevates total funding to $75 million. Norwest led this latest investment. Databricks Ventures also participated. Existing investors reaffirmed their support. These include Target Global, Square Peg, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, and InvestInData. This capital injection fuels ambitious growth. It accelerates product innovation. It expands Nimble's agentic web search capabilities.
The modern enterprise faces a data dilemma. The web holds immense business intelligence. Yet, this data is inherently dynamic. Its verification presents a constant challenge. Traditional consumer search engines offer broad results. They lack enterprise-grade precision. AI summarization tools often generate text. This text frequently lacks reproducibility or source attribution. Businesses demand more. They require accurate, verifiable data. They need structured, actionable insights. Nimble directly addresses this critical market need.
Nimble delivers an agentic search platform. It transforms the live web. It converts public internet data into decision-grade intelligence. This data is explicitly structured. It is optimized for advanced AI systems. It supports critical business workflows. High-stakes operational environments demand unwavering accuracy. Consider retail pricing intelligence. Minute-by-minute changes affect revenue. Financial due diligence requires unassailable facts. Bank-grade market research necessitates precise, current information. Prior approaches proved inadequate. Reliance on service vendors incurred high costs. Maintenance-intensive scraping solutions became burdensome liabilities. Nimble offers a robust, scalable alternative.
The platform employs sophisticated, coordinated agents. These agents autonomously navigate the web. They operate within real browser environments. A governed data layer meticulously processes all acquired results. It conducts rigorous analysis. It performs extensive cross-checking. It then structures the verified data. This forms schema-first tables. These tables are fully queryable, much like a traditional database. This methodology ensures paramount correctness. It guarantees data completeness. It provides unparalleled control over all data outputs. Fortune 500 enterprises now stream trusted web data. It flows directly into their essential workflows. This strategic shift replaces outdated legacy data vendors. It also supersedes unreliable, traditional scraping methods.
Nimble's platform presents dual-purpose functionality. Its Web Search Agents constitute a no-code AI workflow builder. This empowers non-technical teams. They configure agents with ease. These agents navigate complex websites. They stream live, structured data in real time. This capability connects enterprises directly to the web. It eliminates the heavy "engineering tax" associated with custom solutions. Concurrently, the Web Tools SDK provides comprehensive APIs. This caters to developers and builders. They leverage these APIs for searching, extracting, and crawling the web. It removes the inherent hassle of managing complex scraping infrastructure.
Strategic collaborations amplify Nimble's impact. The company actively partners with Databricks. It also maintains a strong alliance with Microsoft. These partnerships critically support enterprise AI deployments. Such deployments demand real-time web data access. This data must seamlessly integrate with internal proprietary data sources. Integrations include Delta Sharing support with Databricks. Vital connections exist to Microsoft's extensive enterprise AI environments. Nimble thus empowers organizations. It helps them operationalize advanced AI systems. These systems critically depend on current, external web data.
Nimble's technological foundation is cutting-edge. It harnesses leading AI models. Innovations from OpenAI, Anthropic, and open-source contributions from Meta drive its agents. These multimodal, browser-based agents do not merely summarize. They intricately control real browser instances. They navigate dynamic websites. They execute meticulous cross-checks on results. They ultimately produce auditable, decision-grade data outputs. This capacity is indispensable for long-running workflows. It is vital in highly regulated, high-stakes environments. The core mission is delivering verified data. It is not generating generalized text summaries. The company automates millions of daily actions. This translates into substantial cost savings for customers. It also drives measurable top-line revenue growth.
Nimble maintains its headquarters in New York. Uri Knorovich leads the company as CEO and Co-Founder. The corporate vision is unambiguous. It aims to furnish businesses with indispensable web intelligence. This intelligence must be robustly reliable. It must be easily verifiable. It must remain fully controllable. Nimble democratizes access to trusted live web data. This access is a critical prerequisite. It underpins modern AI agents. These agents increasingly perform crucial business decisions. Enterprises demand unwavering confidence. They need it in their AI deployments. Nimble provides that foundational requirement. It facilitates the transition of AI initiatives. It moves them from experimental phases directly into confident production. The company vigorously expands its research. This includes multi-agent web search. This commitment ensures sustained innovation and market leadership.