# Ocean Protocol Decentralized Data Marketplace

> Ocean Protocol is a decentralized data marketplace that tokenizes datasets as NFTs and monetizes them via datatokens. Compute-to-Data enables AI training on private data without data exfiltration. In 2024, Ocean merged with SingularityNET and Fetch.ai to form the ASI Alliance.

**Sector:** Quaternary sector · **Industry:** Artificial intelligence and data science · **Organisation:** Ocean Protocol · **Maturity level:** Production

Canonical URL: https://www.sapientblock.com/en/use-cases/ocean-protocol-ki-trainingsdaten-dezentral-handeln

## Documentation status

- **Project status:** Production
- **Evidence:** Evidence high
- **Editorial review:** Ufuk Avci, 15 April 2026

## Description

Ocean Protocol is a decentralised data marketplace on Ethereum. Data sets are tokenised as Data NFTs (ERC-721), access rights managed via Datatokens (ERC-20). Compute-to-Data enables AI training on private data without exfiltration. 2024: merger with SingularityNET and Fetch.ai to form the ASI Alliance.

Ocean Protocol solves the fundamental dilemma of AI: the best training data is private and not shareable. Compute-to-Data breaks this paradigm.

## Benefits

- Companies monetise proprietary data sets without losing control.
- AI companies train models on previously inaccessible private data.
- Individuals tokenise and sell personal data with full control over usage terms and pricing.
- Compute-to-Data enables AI training on private data without exfiltration — the computation moves to the data.
- Data NFTs (ERC-721) and Datatokens (ERC-20) tokenise data sets and access rights.
- Open-source SDKs (ocean.py, ocean.js) for easy integration.
- Data Scientists use Ocean SDKs for privacy-preserving ML workflows.

## Challenges

- Integration into existing ML pipelines requires adjustments to data infrastructure.
- Tokenising personal data requires wallet management and understanding of Data NFTs.
- The merger into the ASI Alliance (2024) significantly changed token structure and governance — transitional phase.
- Compute-to-Data requires standardised compute environments, which are not optimal for all data types.
- Data Scientists need to learn blockchain concepts and decentralised data marketplaces.

## Technology foundation

Ethereum ERC-721 Data NFTs, ERC-20 Datatokens, Compute-to-Data engine, Ocean SDKs (Python/JS).

## Sources

- [Ocean Protocol – Decentralized Data Marketplace](https://oceanprotocol.com)
- [Ocean Protocol Documentation](https://docs.oceanprotocol.com)
- [Ocean Protocol Docs: Data NFTs (ERC-721) and Datatokens (ERC-20)](https://docs.oceanprotocol.com/developers/contracts/datanft-and-datatoken)
- [Ocean Protocol: Data Marketplaces with Blockchain Superpowers (Compute-to-Data)](https://oceanprotocol.com/build/data-marketplaces)