Google launches Deep Research agents that combine public web data with private company information in a single AI search

Google unveiled Deep Research and Deep Research Max on Monday — AI agents (autonomous tools that find information and make decisions on their own) built on the company's Gemini 3.1 Pro model that can now search both the open internet and a company's internal databases simultaneously through one request, then generate charts and reports automatically.

Unlike existing research tools that search only public data or only private data, these agents connect to third-party business systems (through a technical layer called Model Context Protocol) so a financial analyst or scientist can retrieve information from news sites, scientific papers, and their company's proprietary files all at once — collapsing research that historically took hours or days into minutes.

Finance, biotech, and market research teams can now automate the exhaustive information-gathering work that analysts currently do manually, freeing them to focus on interpreting findings rather than hunting sources; this directly competes with enterprise intelligence software vendors and signals Google's push to become the AI backbone for knowledge-work industries where data accuracy is critical.