According to The Rundown AI, Google released an autonomous research agent, Deep Research Max, that achieved 85.9% on BrowseComp, a benchmark for locating hard-to-find facts online, outperforming GPT-5.4 at 58.9% and Claude Opus 4.6 at 45.1%. As reported by The Rundown AI, Deep Research Max is powered by Gemini 3.1 Pro, designed to run overnight, and costs roughly $2–$5 per due diligence report, addressing enterprise-scale research workflows. According to The Rundown AI citing Google’s launch blog, enterprises can schedule a nightly cron job to generate exhaustive due diligence reports by morning, signaling a shift toward automated research operations. As reported by The Rundown AI, FactSet, S&P, and PitchBook are building MCP servers so the agent can plug directly into premium financial data, creating opportunities for investment research, private markets analysis, and risk intelligence.

According to Google DeepMind on X, the company introduced two modes—Deep Research for fast, interactive responses and Deep Research Max for longer, deeper search-and-reason tasks suited to background execution (source: Google DeepMind). As reported by Google DeepMind, Deep Research is optimized for low latency in interactive apps, while Deep Research Max allocates extra time to retrieve information, chain reasoning steps, and aggregate context for exhaustive answers (source: Google DeepMind). For product teams, this segmentation enables tiered user experiences: quick in-session answers for chat and agents, and scheduled deep dives for research, analytics, and due diligence workflows (source: Google DeepMind).