Agentic AI Takes Over Patent Search

The emergence of agentic AI in patent search is reshaping how patents are searched, written, and understood. This new paradigm for innovation allows users to ask natural-language questions and receive not just documents but summaries, citations, and follow-up queries. By linking terms and performing multi-step searches, the system surfaces relevant patents that conventional keyword searches might miss.

According to IPWatchdog, this agentic approach marks a shift from passive retrieval to active reasoning, providing a more comprehensive and efficient way to conduct patent searches.

Perplexity Launches AI-Powered Patent Search

Perplexity has launched an AI-powered patent search tool that goes beyond exact keyword matches to surface related prior art. The platform uses agentic reasoning to break down complex queries and return comprehensive results supported by extensive patent documentation. Users have praised the tool for its ability to identify relevant patents, provide inline viewing, and maintain context across multiple questions.

Users Eager for Expanded Search Capabilities

Following the launch of the new agentic patent research tool by Perplexity AI, users have expressed eagerness for more expansive search capabilities. The AI agent expands its search for prior art beyond patent databases to include academic papers, public software repositories, and other sources, making it a valuable tool for patent research and analysis.

Perplexity Patents: The World’s First AI Patent Research Agent

Perplexity has introduced Perplexity Patents, the world’s first AI patent research agent that streamlines patent search and analysis. CEO Aravind Srinivas unveiled the platform, highlighting its ability to provide IP intelligence in a more efficient and effective manner.