Google has unveiled two new AI research agents, Deep Research and Deep Research Max, in what it describes as the biggest upgrade yet to its autonomous research tools.
The new agents are built on Google’s Gemini 3.1 Pro model and are designed to pull together information from both the open web and private enterprise data, while also generating charts and infographics directly inside research outputs.
According to Google, Deep Research and Deep Research Max allow developers to combine public web content with proprietary internal information through a single API call using the Gemini API. That API now supports a mode specifically for Deep Research, documented by Google as part of its Gemini developer platform.
The agents can also be connected to additional, arbitrary third-party data sources via the Model Context Protocol (MCP). MCP is used to plug external systems and tools into AI models so they can draw on more contextual information during a task, including research-style workflows.
In addition to sourcing from multiple locations, the agents can produce native charts and infographics as part of their research reports. This is aimed at making the output more immediately usable for analysts and teams who need visuals alongside text summaries.
Google positions this release as a key step in the race to build AI systems that can perform multi-source, in-depth research that would otherwise take human analysts hours or days to complete. By tying together the web, private enterprise data, and external systems through MCP, Google is pitching Gemini-powered Deep Research as infrastructure for complex research workflows.
The company is explicitly framing these capabilities for sectors such as finance, life sciences, and market intelligence, where the accuracy of research is critical and mistakes can carry substantial risk. The launch is described as an “inflection point” in Google’s efforts to make its AI stack central to these high-stakes use cases.
Google CEO Sundar Pichai highlighted the rollout as two “powerful updates” to Deep Research in the Gemini API, pointing to better quality, MCP support, and native chart and infographic generation as core improvements.
Paul Balo is the founder of TechBooky and a highly skilled wireless communications professional with a strong background in cloud computing, offering extensive experience in designing, implementing, and managing wireless communication systems.
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