Tokenization
Tokenization of contributions and rights to revenue democratizes access to valuable datasets, fosters liquidity, incentivizes data sharing - essential for innovation in AI
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Staking

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Utilizing a stake and slash mechanism ensures submission quality by requiring participants to stake tokens as collateral. In case of incorrect or malicious submissions, stakeholders may slash the staked tokens. This incentivizes honest behavior, upholds the integrity of the protocol and ensures the quality of datasets.

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Revenue Rights Certificates

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Buying Revenue Rights Certificates (R2C) for a dataset involves purchasing a token that grants the holder a share of the dataset's future licensing revenue stream. These certificates allow investors to participate in the dataset's income without owning or hosting the underlying data itself, offering returns based on demand

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Data Licensing

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Licensing labeled datasets on a freemium model enables accessing the dataset for free with limited features and paying only upon commercial use. This model allows users to explore the dataset's potential without upfront costs and scales payment based on revenue generated, fostering fair and accessible data utilization for diverse applications

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