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AI Tools in Automation & Agents

3,978 results

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  1. Metatext.ai

    Metatext enables everyone to create linguistic AI models without having to hire or be experts in machine learning, data science, and learning management processes. Automate complex workflows with simple steps. Create a project, upload your data, and let the easy-to-use UI and APIs do the hard work.

  2. Lightning AI

    Lightning.AI is a platform for building, training, and deploying AI products. The platform provides ready-made, customizable, and standardized components to simplify AI development, optimize cloud computing costs, and reduce risk. With Lightning.AI, users can quickly deploy AI products in days, not months, while benefiting from enterprise-grade security and support. The platform also offers an AI App Gallery and Component Gallery, as well as AI education, forums, Slack, GitHub, a blog, and other resources.

  3. Riku.ai

    Ricoh is a platform that enables users to build AI models without the need for programming. It provides a range of features, integrations, and resources to enable users to create their own content, customize their models, build claims, and more.

  4. Direqt

    A chatbot platform for publishers reader engagement through personalized conversations on websites.

  5. Chat4Data

    Chat4Data is a Chrome extension that simplifies the process of extracting data from the web via an interactive AI interface, allowing users to extract structured data from websites without the need for coding knowledge. Users simply describe the information they need - such as product details, contact information, or media - and the tool will automatically discover, extract, and organize this data for immediate download as an Excel file. This time-saving solution is ideal for market research, e-commerce, and academic research professionals who need to efficiently collect large amounts of web data without the need for technical expertise.

  6. BondMCP

    BondMCP is a health-focused AI protocol designed to eliminate hallucinations in medical AI outputs using a consensus-based system. This system validates responses across multiple AI models in real-time, ensuring high clinical accuracy with cryptographic proof. By integrating data from wearables, hospitals, DNA tests, chatbots, and other sources, BondMCP creates a unified trust layer for all AI interactions in health. It supports more than 10 AI models, including Claude, GPT-4, and Titan, achieving 99.97% accuracy with response times of less than 3 seconds. The system is trusted by more than 50 health systems, and verifies outputs accurately compared to PubMed and medical publications.