Nimble, receives an additional investment of 67.5 billion KRW to accelerate the expansion of the real-time network data platform

Nimble today announced a $47 million (approximately 6.758 billion KRW) funding round to accelerate the development of its intelligent web search platform, expand multi-agent research capabilities, and plan to extend real-time web data infrastructure for enterprise AI deployment. The company was founded in 2021 as The Data Company Technologies Inc., providing real-time web search and data platforms that extract structured and verifiable data from the live public internet for enterprise AI systems.

While most AI deployments rely on static datasets, internal records, or unstructured web summaries, Nimble aims to coordinate multiple AI-based agents to browse real-time websites and extract information, transforming it into structured datasets for enhanced usability. Co-founder and CEO Uri Knorovich said, “The web is the biggest source of information for business and AI. But data is dynamic and hard to verify, which is why we developed Nimble.”

Nimble’s platform uses AI models to control web browsers, enabling direct browsing and data collection without relying on APIs or static scraping techniques. The collected data is cleaned, deduplicated, aggregated, and transformed into structured tables that can be integrated into enterprise analytics and AI systems.

The platform also offers a no-code workflow builder to help teams configure browser-based search agents, automating repetitive web data tasks. Key clients include Databricks, Uber Technologies, Coca-Cola, Tripadvisor, L’Oréal, Deloitte, Microsoft, LG AI Research, and others, who are applying real-time verifiable web data directly into their workflows via the platform.

This Series B funding round was led by Norwest Venture Partners, with participation from Databricks Ventures, Target Global, Square Peg Capital, Hetz Ventures, Slow Ventures, and others. The funding brings Nimble’s total raised capital to $75 million.