Unlocking the Potential of Asset Tokenization for AI Models with ORA Protocol

Thursday, 25 April 2024, 15:16

Discover the revolutionary concept of Initial Model Offering (IMO) within the AI sector through an in-depth exploration of ORA Protocol. Learn how AI-centric asset issuance can pave the way for open collaboration and financial viability. Uncover the challenges and opportunities presented by tokenizing AI models and the impact on industry standards for AI development and financing.
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Unlocking the Potential of Asset Tokenization for AI Models with ORA Protocol

The ORA Protocol: Revolutionizing AI Asset Issuance

The ORA Protocol, a cutting-edge oracle protocol, integrates AI and complex computation on-chain to enhance smart contract capabilities. ORA's solutions have gained trust from leading entities like Compound and Ethereum Foundation.

New Era in AI Development

AI development faces challenges with proprietary models and financial barriers. IMO introduces asset tokenization for AI models, offering creators financial returns and investors direct profit-sharing opportunities.

Shift Towards Open Collaboration

  • Tokenized AI Models: Creators tokenize AI models for asset issuance, allowing investors to benefit from successful models.
  • IMO Concept: Balances open-source collaboration with financial viability in AI development.

Understanding the Paradigm Shift

ERA standards like ERC-7641 and ERC-7007 empower AI model tokenization and ensure content authenticity. Onchain AI Oracle operationalizes AI models transparently.

Ethical Implications and Regulatory Alignment

Tokenized AI models raise ethical concerns; ORA Protocol emphasizes governance and regulatory compliance to ensure model authenticity and prevent misuse.

New Industry Standard

AI development intersects with blockchain to enhance liquidity and transparency. Tokenized AI models provide continuous supervision for operational glitches.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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