The web search industry continues to flourish, driven by businesses leveraging AI agents for data optimization. This has created a significant need for solutions that can effectively extract information from the web to empower AI bots, while also presenting these results in a format readily compatible with contemporary data analytics platforms.
This critical market need is addressed by the web search startup, Nimble Way, which recently secured $47 million in a Series B funding round, spearheaded by Norwest. Based in New York, the company's platform utilizes AI agents to conduct real-time web searches, rigorously verify and validate the findings, and subsequently organize this data into structured tables that are easily queryable, much like a traditional database.
The ability to structure information into tables is a pivotal differentiator. While Large Language Models (LLMs) and AI agents excel at web searching, synthesizing information from diverse sources, and analysis, their output is frequently in plain text. This unstructured format poses significant challenges for enterprise-level integration and utilization, not to mention the inherent risks of AI hallucinations, potential misinterpretations of user instructions, or reliance on untrustworthy data sources.
Through its meticulous validation and tabular structuring of results, Nimble Way empowers businesses to seamlessly incorporate web data as if it were natively integrated within their existing databases. The startup further enhances its utility by integrating with prominent enterprise data warehouses and data lakes — centralized repositories from providers such as Databricks and Snowflake where organizations store and analyze vast amounts of data. This integration allows Nimble Way's AI agents to access a company's internal data, leveraging it to establish context and refine the structure and presentation of search outcomes.
"In effect, this lets enterprises have live, structured web data as part of their existing data environments," stated Uri Knorovich, CEO and co-founder of Nimble Way, in an interview with TechCrunch.
These integrations also enable Nimble Way's software to retain specific search parameters and constraints, such as preferred execution methods or designated data sources. This capability proves invaluable for diverse applications including competitor analysis, pricing research, Know-Your-Customer (KYC) processes, brand monitoring, in-depth research, and financial analysis. Knorovich also highlighted Nimble Way's commitment to data security and retention, ensuring all customer data remains securely within the customers' own data infrastructure.
To facilitate this, the startup has forged partnerships with industry leaders like Databricks, Snowflake, AWS, and Microsoft, aiming to streamline enterprise deployments that necessitate access to internal data sources. Notably, Databricks also contributed to this Series B funding round.
"Models can do a lot of things, but most production AI fails aren’t because the models are not good enough — it’s because of a data failure," Knorovich explained. He further elaborated, "What we’re seeing today is that enterprises don’t need more AI; they need AI with good, reliable web search […] If you nail it down, if you can choose what your agent can search and cannot search, this is the tipping point for enterprises to say, ‘hey we can actually trust AI. We can actually put AI to work in more use cases’."
Knorovich asserts that Nimble Way's distinct advantage over other data brokers lies in its unparalleled ability to perform real-time web searches at scale, coupled with its robust validation and structuring of the search results.
The startup currently serves over 100 customers, with a significant portion of its revenue originating from large enterprises, including Fortune 500 and even some Fortune 10 companies. This diverse client base spans major retailers, hedge funds, banks, consumer packaged goods companies, and emerging AI-native startups.
"Nimble is tackling a problem that has existed for years without a proper solution and is now becoming of critical urgency," stated Assaf Harel, a partner at Norwest. He added, "Trusted live web data is increasingly becoming a prerequisite for AI agents performing critical business decisions."
The Series B round also garnered continued support from returning investors, including Target Global, Square Peg, Hetz Ventures, Slow Ventures, R-Squared Ventures, J-Ventures, and InvestInData. The capital raised will be strategically allocated to expand research and development efforts in multi-agent web search capabilities and to further enhance a governed data layer responsible for processing and validating search results.
With this latest funding, Nimble Way's total capital raised now stands at $75 million.
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