Gemini Deep Research Max
Gemini Deep Research is Google’s next-generation autonomous research agent, designed to plan, execute, and synthesize complex, multi-step research tasks across the web and private data sources into high-quality, structured outputs. Built on top of advanced Gemini models such as Gemini 3.1 Pro, it introduces a system where the AI can break down a user’s query into sub-tasks, search across multiple sources, evaluate relevance, and iteratively refine results before producing a comprehensive, cited report. It is positioned as a “step change” in long-horizon research workflows, enabling autonomous exploration of both public web content and custom enterprise data while maintaining context and coherence across extended reasoning chains. It supports features such as MCP (Model Context Protocol) integration, native visualizations, and significantly improved analytical quality, allowing users to generate insights.
Learn more
Gemini 4 Carbon
Gemini 4 Carbon is an advanced multimodal AI reasoning model developed by Google DeepMind for cybersecurity, software engineering, scientific research, and autonomous agent workflows. Building on Gemini 4 Argon, the model delivers improved performance in vulnerability discovery, exploit validation, secure code generation, and automated software patching. Its long-horizon reasoning capabilities enable AI agents to work through complex engineering problems over extended periods, including debugging large codebases and resolving low-level system issues. Gemini 4 Carbon also supports full-stack web development, multimodal understanding, technical analysis, and multistep task execution. The model incorporates safety mechanisms for prompt injection resistance, monitoring, and alignment while reducing unsupported claims and unauthorized actions.
Learn more
Apodex
Apodex is a self-evolving heavy-duty solver for deep research, built to answer the questions that matter with verified reasoning rather than a quick chat reply. It reasons through hard problems step by step, checks every conclusion before moving to the next, and produces a verified brief with citations in every report. Designed for complex inquiries with no easy existing answer, Apodex performs deep research, explores evidence, and verifies each step so users can trust how the final conclusion was reached. Signed-in users can save every inquiry, return, and continue anytime, search across threads, branch off any report, and review a step-level reasoning trace. Apodex-1.0 is a verification-centric model for deep research that can run as a standard tool-using ReAct agent, while its heavy-duty mode deploys an asynchronous agent team where specialized sub-agents handle retrieval and verification, route findings through a shared evidence pool, and feed a global verifier.
Learn more
Perplexity Computer
Perplexity Computer is an AI-powered super agent designed to autonomously complete complex digital tasks from start to finish. Users simply describe the outcome they want, and the system breaks the request into structured subtasks executed by specialized AI models. It can build websites, generate reports, compile datasets, and create multimedia content with minimal manual input. The platform dynamically selects the most suitable AI models for each component of a project, optimizing for research, images, video, or quick searches. Designed for extended autonomous operation, it can run workflows for hours or longer without interruption. By abstracting away technical complexity, it transforms high-level intent into fully executed results. Perplexity Computer streamlines advanced AI capabilities into a single, outcome-focused interface.
Learn more
