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Nimble Raises $47M to Bridge the Gap Between AI Agents and Live Web Data

AI agents web search enterprise data data validation Databricks Snowflake Fundraising
February 24, 2026
Source: TechCrunch AI
Viqus Verdict Logo Viqus Verdict Logo 6
Data Foundation, Not a Revolution
Media Hype 5/10
Real Impact 6/10

Article Summary

Nimble, an AI startup focused on providing structured web data for AI agents, has closed a $47 million Series B funding round led by Norwest. The company’s platform leverages AI agents to search the web in real-time, validate results, and then organize information into easily queryable tables – a critical step for enterprises seeking to integrate AI agents with live, external data sources. Traditional LLMs and AI agents often struggle with plain text results, creating challenges for enterprise-level analysis. Nimble’s approach tackles this problem by ensuring data integrity and accessibility, a need particularly acute given the increasingly reliance on AI agents for critical business decisions. The company’s technology integrates with enterprise data warehouses and data lakes – prevalent repositories used by businesses – and remembers constraints for customized searches. This enables organizations to tap into live web data within their existing data environments, potentially unlocking new use cases across areas like competitor analysis, pricing research, and fraud detection. With over 100 customers, including major retailers, hedge funds, and consumer packaged goods companies, Nimble is positioning itself as a key enabler of trustworthy AI implementation.

Key Points

  • Nimble raised $47 million in Series B funding led by Norwest.
  • The company’s platform provides structured web data for AI agents, addressing the challenge of integrating AI agents with reliable external data sources.
  • Nimble’s technology integrates with existing enterprise data warehouses and data lakes, allowing organizations to leverage live web data within their current data infrastructure.

Why It Matters

The resilience of web search as a data source underscores a fundamental shift in how AI agents operate. Previously, a major hurdle for enterprise AI adoption was the difficulty of integrating with and trusting dynamic, real-time data. Nimble’s approach directly addresses this, offering a solution that could significantly accelerate the widespread use of AI agents in critical business functions. The $47 million in funding signals investor confidence in this approach and suggests that businesses are increasingly willing to invest in solutions that bridge the gap between AI and live information.

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