AI Agent Infrastructure Firm Nimble Raises $47M
AI infrastructure company Nimble raised $47 million in a Series B funding round to build a "reliability layer" for AI agents. The system is designed to clean and verify web data to enable secure business intelligence tasks and prevent AI "hallucinations," which is critical for data-dependent commerce applications.
- This latest funding round was led by Norwest Venture Partners and included participation from Databricks Ventures, bringing Nimble's total funding to $75 million. - Founded in 2021, Nimble is headquartered in New York and employs around 120 people, with 70 located in its development center in Israel. - Nimble's platform uses coordinated AI agents that operate in real web browsers to navigate dynamic websites, interact with page elements, and extract specific data points. - The collected information is then processed through a governed data layer that cleans, deduplicates, and aggregates it into structured tables for use in enterprise AI and analytics systems. - Key use cases for Nimble's technology include retail pricing intelligence, financial due diligence, market research, and media monitoring for clients like L'Oréal, Coca-Cola, Uber, and Deloitte. - The company has established strategic partnerships with Microsoft and Databricks to integrate its real-time web data directly into their respective enterprise AI and data intelligence platforms. - Nimble's approach is designed to provide more reliable and auditable external data for AI systems compared to traditional web scraping methods or summaries from generative AI tools. - The new capital is intended to accelerate the development of Nimble's "Agentic Search Platform" and expand its research into multi-agent systems for web data extraction.
