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Comprehensive automatização de pesquisa Tools for Every Need

Get access to automatização de pesquisa solutions that address multiple requirements. One-stop resources for streamlined workflows.

automatização de pesquisa

  • floatz

    floatz AI is the tool to streamline scientific research and writing.
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    What is floatz?
    floatz AI is a comprehensive research platform designed to assist researchers, students, and professionals by providing smart tools for finding and understanding scientific literature. With features like an AI-powered chat for research questions, PDF readers with AI chat capabilities, and customizable research libraries, floatz AI helps streamline the research process and enhances efficiency. Whether you need quick insights, detailed analyses, or organized research, floatz AI is your go-to solution.
    floatz Core Features
    • AI-powered research chat
    • PDF reader with AI chat
    • Research libraries
    • Smart search capabilities
    floatz Pro & Cons

    The Cons

    No public information indicating open source availability
    No disclosed pricing details on the website, requiring direct contact
    Limited information on user interface or ease of use
    No mobile app or extended community presence like Discord or Telegram observed

    The Pros

    Comprehensive AI-powered data synthesis from diverse biomedical sources
    Combines AI insights with expert scientific curation for high-quality recommendations
    Covers multiple stages of drug discovery pipeline from target identification to clinical strategy
    Strong emphasis on client confidentiality and proprietary data protection
    Founded by reputable researchers from ETH Zürich and partnered with ETH AI Center

  • FreeThinker

    FreeThinker enables developers to build autonomous AI agents orchestrating LLM-based workflows with memory, tool integration, and planning.
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    What is FreeThinker?
    FreeThinker provides a modular architecture for defining AI agents that can autonomously execute tasks by leveraging large language models, memory modules, and external tools. Developers can configure agents via Python or YAML, plug in custom tools for web search, data processing, or API calls, and utilize built-in planning strategies. The framework handles step-by-step execution, context retention, and result aggregation so agents can operate hands-free on research, automation, or decision-support workflows.
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