Ocean Protocol Logo

Ocean Protocol

Tokenized AI & Data: Monetize AI models & data while preserving privacy

Other
Screenshot of Ocean Protocol

Description

Ocean Protocol is a technology stack designed to unlock the value of data for AI development. It offers tools for individuals and organizations to monetize their AI models and datasets in a secure, privacy-preserving manner. By leveraging decentralized technologies, Ocean Protocol facilitates a new data economy where information can be shared and utilized without compromising control or confidentiality.

The platform features core components like Ocean Nodes for decentralized computation, Data NFTs for intellectual property protection and access control, Datatokens for managing permissions, and Compute-to-Data functionality. This allows computations to run on data remotely without exposing the raw data itself, enabling secure collaboration and the creation of novel revenue streams for data providers and AI developers.

Key Features

  • Predictoor: Run AI-powered prediction or trading bots on crypto price feeds to earn rewards.
  • Ocean Nodes: Develop, train, and monetize AI models on a secure, decentralized platform (GPU/CPU compatible) with a focus on privacy.
  • Data NFTs: Protect intellectual property using enhanced ERC721 tokens for tailored access control to data environments and digital assets.
  • Datatokens: Generate ERC20 tokens to manage granular permissions and access control for Data NFTs.
  • Compute-to-Data: Perform machine learning and AI computations remotely on data without moving the assets, enabling privacy-preserving analysis and new revenue streams.
  • Ocean Foam: Participate in data challenges to earn rewards using data science skills.

Use Cases

  • Monetizing AI models and algorithms.
  • Selling access to private datasets securely.
  • Building decentralized data marketplaces.
  • Running AI-driven prediction bots on crypto markets.
  • Developing and training AI models with enhanced privacy.
  • Protecting intellectual property of digital assets and data.
  • Collaborating on sensitive data without direct exposure.
  • Participating in data science competitions for rewards.

You Might Also Like