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MonetizeNow

Original price was: ₹650.00.Current price is: ₹500.00.

Monetize now is a decentralized data marketplace which allows people/businesses to not only monetize their data but also earn money on it. We provide a decentralized marketplace connecting data-providers and data-consumers directly eliminating all the intermediate data brokers who profit hugely from the existing data brokerage market. We accomplish this by creating simple tools to publish data and consume data as decentralized data NFTs & data tokens.(more on this in description)

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Description

Monetize now is a decentralized data marketplace which allows people/businesses to not only monetize their data but also earn money on it. We provide a decentralized marketplace connecting data-providers and data-consumers directly eliminating all the intermediate data brokers who profit hugely from the existing data brokerage market. We accomplish this by creating simple tools to publish data and consume data as decentralized data NFTs & data tokens.A data NFT is a non-fungible ERC721 token representing copyright of a data service; a data token is a fungible ERC20 token to access the service. MonetizeNow contracts are deployed to Ethereum mainnet and other EVM networks. 

 

MonetizeNow “Compute-to-Data” section- feature lets data owners keep their raw data secure while still allowing others to run algorithms on it. Instead of transferring the data to the consumer, the data remains with the provider.So we can train more accurate & powerful AI models which currently lacks in our country due to non-existence of good datasets.Using the compute to data section of MonetizeNow one can now also train their models on sensitive data

which is generally not-available.

 

Our ultimate goal is to stop the existing data brokerage market and replace it with a decentralised marketplace where one can be the owner of their own data and can earn value for their data. Also for data-consumers we now give them access to high-quality datasets and access to sensitive data(using the “compute-to-data” section of ours).