Google’s new Deep Research and Deep Research Max agents can search the web and your private data

2026-04-21 · Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Intermediate, medium

Summary

Google has launched two new autonomous research agents, Deep Research and Deep Research Max, as significant upgrades to its AI capabilities. These agents, built on the Gemini 3.1 Pro model, allow developers to combine open web data with proprietary enterprise information via a single API call, generate native charts and infographics within reports, and connect to third-party data sources using the Model Context Protocol (MCP). Deep Research is optimized for speed and interactive use cases, while Deep Research Max utilizes extended test-time compute for exhaustive, high-quality asynchronous research. Both agents are available in public preview through paid tiers of the Gemini API, with Deep Research Max achieving 93.3% on DeepSearchQA and 54.6% on Humanity's Last Exam.

Key takeaway

For CTOs and VPs of Engineering evaluating AI for enterprise research, Google's Deep Research and Deep Research Max agents offer a compelling solution to integrate public and private data sources. You should explore their API to automate exhaustive research workflows, especially in finance, life sciences, and market intelligence, leveraging the Model Context Protocol for secure data access and native chart generation for stakeholder-ready deliverables.

Key insights

Google's new Deep Research agents fuse web and private data, generating visual reports for enterprise workflows.

Principles

• Balance speed and thoroughness in AI agent design.
• Integrate AI with existing enterprise data infrastructure.

Method

The agents use the Model Context Protocol (MCP) to securely query private databases and third-party services, synthesizing insights with public web data and generating inline HTML charts.

In practice

• Automate due diligence reports in finance.
• Accelerate biomedical literature research.
• Produce stakeholder-ready market research.

Topics

• Deep Research Agents
• Model Context Protocol
• Gemini 3.1 Pro
• Enterprise AI Workflows
• Autonomous Research

Best for: CTO, VP of Engineering/Data, Executive, AI Engineer, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.