Key Points
- Nimble closed a $47 million Series B round led by Norwest.
- The platform uses AI agents to search the web in real time, validate results, and format them into queryable tables.
- Integrations with Databricks, Snowflake, AWS, and Microsoft enable seamless blending of live web data with internal data warehouses.
- Targeted use cases include competitor analysis, pricing research, KYC, brand monitoring, deep research, and financial analysis.
- Over 100 customers, including Fortune 500 and Fortune 10 firms, rely on Nimble’s technology.
- Total funding to date reaches $75 million, supporting further R&D on multi‑agent search and data governance.
Funding and Vision
Web‑search startup Nimble raised a $47 million Series B financing round, with Norwest as the lead investor and participation from Databricks, Snowflake, AWS, Microsoft, and several returning backers. The capital will fund research and development of multi‑agent web search and a governed data layer that processes and validates search results. Nimble’s CEO and co‑founder Uri Knorovich emphasized that enterprises need AI that can reliably retrieve live web data, not just more powerful models.
Technology Overview
Nimble’s platform employs AI agents to conduct real‑time web searches, verify the accuracy of the information, and transform the output into structured tables that can be queried like a database. This approach addresses a common challenge where large language models return unstructured text that is difficult for enterprises to consume at scale. By validating and structuring results, Nimble enables businesses to treat web data as if it were already part of their internal data warehouses or data lakes.
Enterprise Integration
The startup has built integrations with leading data‑warehouse and data‑lake providers, including Databricks and Snowflake, as well as cloud platforms such as AWS and Microsoft Azure. These connections let AI agents access a company’s existing data stores to add context, enforce search constraints, and ensure that customer data remains within the organization’s security and retention policies. The ability to plug live web data into established data environments supports use cases like competitor analysis, pricing research, know‑your‑customer (KYC) processes, brand monitoring, deep research, and financial analysis.
Customer Base and Market Impact
Nimble currently serves more than 100 customers, with the majority of revenue coming from large enterprises, including Fortune 500 and Fortune 10 companies across retail, finance, and consumer packaged goods sectors. The company’s technology is also being adopted by AI‑native startups that require trustworthy, structured web data for critical decision‑making.
Future Outlook
With the new funding, Nimble plans to expand its R&D efforts and broaden its multi‑agent web‑search capabilities. The company has already raised a total of $75 million, positioning it to become a key provider of live, structured web data for AI agents in enterprise settings.
Source: techcrunch.com