Nimble is a New York-based web search startup whose platform uses large language model agents to crawl the internet in real time, verify and validate the information, and convert it into database-like tables. The product integrates directly with enterprise data warehouses and lakes from providers such as Databricks and Snowflake, allowing live web data to sit alongside a company’s internal datasets. This capability supports use cases like competitive intelligence, pricing research, KYC, brand monitoring, deep research, and financial analysis while keeping customer data inside existing infrastructure for compliance. Nimble currently serves more than 100 customers, with most revenue coming from Fortune 500—and even some Fortune 10—organizations across retail, finance, CPG, and AI-native sectors. Management positions the company as solving the “data failure” bottleneck that limits real-world AI deployments. With the new funding, Nimble plans to expand R&D into multi-agent web search and a governed data layer that further validates search outputs. To date, the company has secured $75 million in total capital.

Total raised

$47M

Funding rounds

1

Latest round

Series B

Latest activity

Feb 2026