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Ultimate 데이터 수익화 Solutions for Everyone

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데이터 수익화

  • Grably

    Grably helps you monetize your private data securely.
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    What is Grably?
    Grably provides a user-friendly interface for individuals to monetize their private data. It allows users to link their data directly with AI firms seeking specific information for training machine learning models. Users can control what data they share and receive fair compensation for it. The platform prioritizes security, ensuring users' data remains private and protected while enabling them to earn revenue.
    Grably Core Features
    • Safe data selling process
    • User data privacy control
    • Connection with multiple AI companies
    • Fair compensation for data
    Grably Pro & Cons

    The Cons

    No public open source repository or transparency on source code.
    Pricing details are not explicitly detailed on the website, requiring potential clients to contact for information.
    No direct links or presence on GitHub, Google Play, App Store, or Chrome Web Store, limiting easy integration or installation.

    The Pros

    Provides access to over hundreds of thousands of diverse, high-quality datasets tailored for AI training.
    Ensures full consent and compliance with privacy regulations such as GDPR and CCPA.
    Supports data collection, curation, and annotation services to improve AI model accuracy and relevance.
    Decentralized platform empowering user-owned data contributing to increased transparency and ethical data sourcing.
    Highly scalable to meet the needs of both small and large AI projects.
    Grably Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://grably.us

  • Unique Datasets for AI training

    FileMarket AI: A platform for collecting and labeling datasets for AI training.
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    What is Unique Datasets for AI training?
    FileMarket AI serves as a multifaceted platform designed to optimize the lifecycle of datasets used in artificial intelligence training. It leverages a blend of human expertise and advanced AI agents to collect, validate, and label high-quality data. By utilizing a multichain approach, it supports various blockchain technologies, enhancing data security and transparency. Users can engage in a decentralized marketplace to monetize their data contributions, thus fostering a sustainable data economy geared towards AI advancements. The platform supports a wide variety of data types and tasks, ensuring flexibility for its users.
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