Nimble, a New York-based Web Search Agent Platform provider, has raised $47M in Series B funding. The company orchestrates AI agents to search, extract, process, and structure live web data in real-time, delivering accurate, compliant data feeds for AI applications, BI dashboards, and analytics. This capital will fuel platform enhancements and enterprise expansion.
AI Agents Reshape Data Extraction
The timing aligns with enterprises shifting from brittle scraping to AI-driven web data access. Nimble's platform, with >99% data accuracy and sub-2ms latency, serves customers like Uber, Coca-Cola, and Microsoft amid rising demand for compliant intelligence.
Scraping Fails Modern Enterprises
Traditional web scraping struggles with dynamic sites, CAPTCHAs, and legal compliance, leading to unreliable data for competitive pricing, product catalogs, and lead generation. Retail/CPG, finance, and supply chain sectors lose millions annually to inaccurate insights. Current tools lack real-time processing, hindering AI and BI workflows.
Compliant Agents Enable Real-Time Feeds
Nimble's no-code studio lets users build agents via intuitive APIs like /agent, /search, /extract, and /crawl, powered by a 1M+ residential proxy network. Unlike rigid scrapers, it handles hard-to-reach data compliantly by design. Integrations with Databricks, Snowflake, AWS, and Microsoft Fabric streamline data into analytics pipelines.
Customers including L'Oreal, Deloitte, Semrush, and TripAdvisor leverage >99% accuracy for pricing intelligence, SEO tracking, and news monitoring.
Series B Validates Enterprise Traction
The $47M Series B reflects strong market validation for AI-orchestrated web data. With NY headquarters and Tel Aviv R&D, Nimble's 118-person team scales managed data services for Fortune 500 needs. This infusion signals confidence in agentic platforms replacing legacy scraping infrastructure.
Live Web Data Powers Key Verticals
Target markets span Retail/CPG for catalogs and reviews, Finance for monitoring, Sales/Marketing for leads, and Travel for dynamic pricing. As AI agents proliferate, demand surges for structured live web data. Nimble positions at the intersection of AI infrastructure and business intelligence, enabling faster decisions without compliance risks.