Nimble launches agents to cull relevant web data for AI
Nimble has launched 'Web Search Agents,' an AI-driven tool designed to autonomously scrape and curate external web data for enterprise use. The platform aims to bridge the gap between internal operational data and real-time external market signals.
Why it matters
Automating the collection of external web data allows businesses to make more context-aware decisions without the need for manual, brittle scraping scripts.
Nimble on Wednesday launched Web Search Agents, new agentic AI applications that autonomously learn customer use cases to scour the internet for relevant information that can be converted into curated data tables.
While analytics and AI tools are largely informed by an enterprise's operational data, information from the web is also valuable when building applications that inform decisions and business processes. Operational data reveals what is happening within an organization, while web data shows what is taking place externally.
Together, the two provide richer context for agents and other decision-informing tools than one type of data alone.
"Web data is the world's largest real-time signal network," Michael Ni, an analyst at Constellation Research, told TechTarget. "Nimble allows enterprises to combine internal and external data, enabling AI to move from internally informed analysis to context-aware decisions."
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