Nimble raises $47M to give AI agents access to real-time web data

Source: TechCrunch

Believe it or not, web search is still thriving as an industry. As businesses invest in using AI agents to make the most of their data, there’s demand for tools that not only scrape the web to inform what those AI bots do, but also return those results in a way that’s easier to use with modern data tools.

Funding round

Web‑search startup Nimble recently raised a $47 million Series B round, led by Norwest. The round also included returning investors Target Global, Square Peg, Hetz Ventures, Slow Ventures, R‑Squared Ventures, J‑Ventures, InvestInData, and participation from Databricks.

Product and technology

Nimble’s platform employs AI agents to:

• Search the web in real time.
• Verify and validate the results.
• Structure the information into neat tables that can be queried like a database.

By converting raw web data into structured tables, Nimble lets companies treat web‑derived information as if it were already part of their existing databases. This addresses a common pain point: large‑language models (LLMs) and AI agents often return plain‑text results that are difficult to work with at an enterprise level and are prone to hallucinations or misinterpretations.

Enterprise use cases

The structured‑data approach enables a variety of applications, including:

• Competitor analysis
• Pricing research
• Know‑your‑customer (KYC) processes
• Brand monitoring
• Deep research
• Financial analysis

Nimble ensures that all customer data remains within the customer’s own data infrastructure, helping comply with data‑retention and security policies.

Partnerships and integrations

Nimble integrates with major enterprise data warehouses and data lakes, such as Databricks and Snowflake, and works with cloud providers AWS and Microsoft to streamline deployments that require access to internal data sources. These integrations allow the AI agents to tap into a business’s existing data trove, providing context that shapes how search results are structured and returned.

Quotes from leadership

“Models can do a lot of things, but most production AI failures aren’t because the models are not good enough — it’s because of a data failure,” said CEO and co‑founder Uri Knorovich.
“Enterprises don’t need more AI; they need AI with good, reliable web search. If you can choose what your agent can search and cannot search, this is the tipping point for enterprises to trust AI and put it to work in more use cases.”

Knorovich added that the ability to search the web in real time at scale, and to validate and structure the results, is what sets Nimble apart from other data brokers.

Investors

• Norwest (lead)
• Target Global
• Square Peg
• Hetz Ventures
• Slow Ventures
• R‑Squared Ventures
• J‑Ventures
• InvestInData
• Databricks (also a partner)

Financials

With the Series B, Nimble has now raised a total of $75 million. Proceeds will be used to expand R&D in multi‑agent web search and to build a governed data layer that processes and validates search results.