Best AI Research Tools for Amazon Web Services (AWS)

x
View:
Open Source Commercial

Compare the Top AI Research Tools that integrate with Amazon Web Services (AWS) as of November 2025

Sort By:
Amazon Web Services (AWS) AI Research Tools Clear Filters

This a list of AI Research Tools that integrate with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

What are AI Research Tools for Amazon Web Services (AWS)?

AI research tools are AI-powered software tools designed to assist researchers in efficiently gathering, analyzing, and synthesizing information from a variety of sources. These tools leverage artificial intelligence to automate tasks such as data retrieval, content summarization, and trend identification, allowing researchers to focus on critical analysis. They often utilize natural language processing and machine learning algorithms to process large volumes of text and data, helping users extract relevant insights quickly. By offering features like advanced search capabilities, data visualization, and automated report generation, these tools streamline the research process. AI-powered research tools enhance productivity, reduce manual effort, and enable more informed decision-making across various research fields. Compare and read user reviews of the best AI Research Tools for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.

  • 1
    iMini

    iMini

    iMini

    iMini is an AI-assistant platform offering an AI agent that consolidates multiple AI tools into a single interface, so users don’t need to switch between specialized apps. It supports services like AI chat, AI slides, AI docs, AI video, and AI image, plus a feature called deep research to rapidly aggregate, analyze, and present insights. You provide a prompt or describe what you need, say, “Create a new energy slide with market data", and iMini produces a deliverable (presentation slide, report, image/video, etc.) quickly. Typical tasks such as slide creation, report writing, or deep research are said to be completed in about 10 minutes, saving around 5 hours on average. The product is positioned to deliver “productivity close to four regular employees” under its Max membership, generating dozens of professional outputs every month.
    Starting Price: $10 per month
    View Software
  • 2
    Duality

    Duality

    Duality Technologies

    Duality Technologies provides a cutting-edge privacy-enhancing platform that enables organizations to securely analyze and collaborate on sensitive, distributed data without exposing or moving it. Using advanced Privacy Enhancing Technologies (PETs) such as fully homomorphic encryption and federated learning, Duality allows AI models and analytics to run safely on encrypted data. The platform supports secure data sharing across borders and organizational silos while maintaining strict compliance and data sovereignty. Duality’s solutions empower industries like financial services, healthcare, and government to generate insights, accelerate innovation, and minimize risk. Customers benefit from seamless integration with major cloud providers and enterprise partners including AWS, Azure, and Google. By safeguarding data throughout the entire data science lifecycle, Duality unlocks new possibilities for privacy-first collaborative research and AI.
    View Software
  • 3
    Claude for Life Sciences
    Claude for Life Sciences is an AI-powered research platform developed by Anthropic, tailored explicitly for life sciences workflows such as drug discovery, experimental design, and regulatory documentation. The solution connects Claude’s large-language-model capabilities with key research environments and data sources, linking to platforms like lab information systems, genomic analysis tools, and biomedical databases, so scientists can move seamlessly from hypothesis generation through data interpretation to publication-ready outputs. The system also introduces “skills” and specialized connectors built for life-science use cases; for example, a skill for single-cell RNA-seq quality control, or integration with spatial-biology toolchains, enabling meaningful dialogue with analytic pipelines rather than simply raw prompts. By embedding into existing workflows, it reports performance that exceeds human baseline on protocol comprehension tasks, supports natural-language queries.
    View Software
  • Previous
  • You're on page 1
  • Next

Related Categories