Nimble announced today that it has raised $47 million in new funding to accelerate development of its agentic web search platform, expand its multi-agent research capabilities and scale up its governed real-time web data infrastructure for enterprise artificial intelligence deployments.

Founded in 2021 as Thhe Data Company Technologies Inc., Nimble offers a real-time web search and data platform designed to address the challenge of obtaining structured, verifiable data from the live public internet for use in enterprise AI systems.

Many AI deployments rely on static datasets, internal records or unstructured web summaries that are difficult to audit or reproduce. Nimble’s approach, on the other hand, centers on coordinating multiple AI-driven agents that browse live websites, extract information and convert dynamic web content into structured, schema-first datasets suitable for operational use in AI deployments.

“The greatest source of intelligence for businesses and AI is the web, but the data is dynamic and hard to verify, which is why we built Nimble,” said co-founder and Chief Executive Uri Knorovich. “Businesses already run multi-agent systems where one agent searches, another verifies results from the web, and a third takes action and Nimble’s agentic search powers that loop with verified data from the web.”

Nimble’s platform works by using AI models to control full web browsers rather than relying solely on application programming interfaces or static scraping scripts. The agents navigate websites, interact with dynamic page elements, handle changing layouts and retrieve data directly from live sources.

Having scraped sites, the platform then applies a governed data layer to process the collected information through steps such as cleaning, deduplication, joining and aggregation. The output is converted into structured tables that can be queried, stored or integrated into enterprise analytics and AI systems.

The platform’s capabilities include a no-code workflow builder that allows teams to configure browser-based search agents and automate recurring web data tasks and a software development kit provides programmatic access to search, extraction and crawling functions for developers.

The system is designed to support long-running, multistep workflows in which one agent gathers information, another cross-checks results, and a governed layer validates outputs before they are delivered into downstream applications. The platform is used in workflows that require timely and verifiable external data, such as financial due diligence, retail pricing analysis, market research, media monitoring and social listening.

Nimble’s platform also integrates with services from Databricks Inc. and Microsoft Corp. to allow customers to incorporate structured web data into existing data pipelines, business intelligence tools and agent-based applications operating in production environments.

The company says Fortune 500 companies use the company’s platform to stream trusted web data directly into their workflows. Notable Nimble customers include Databricks, Uber Technologies Inc., The Coca-Cola Co., Tripadvisor Inc., L’Oréal SA, Deloitte Touche Tohmatsu Ltd., Microsoft and LG AI Research.

The Series B round was led by Norwest Venture Partners LP, with participation from Databricks Ventures and existing investors including Target Global Management GmbH, Square Peg Capital Pty. Ltd., Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures and InvestInData.

“Nimble is tackling a problem that has existed for years without a proper solution and is now becoming of critical urgency,” said Assaf Harel, a partner at Norwest. “Trusted live web data is increasingly becoming a prerequisite for AI agents performing critical business decisions. As enterprises deploy AI in high-stakes environments, the need for trusted, clean, governed, live web data becomes essential.”

The new funding takes the total raised by Nimble to $75 million.

Photo: Nimble