Privasea, a leading AI & DePIN network, have issued the first launch of their WorkHeart nodes, alongside their 5,000-piece StarFuel NFT collection.
This follows the launch of their ImHuman app, which allows users to scan their biometric data to prove their humanity – and has seen over 200,000 users to date.
These nodes and NFTs provide a range of benefits to users, and help to power Privasea’s privacy-focused Fully Homomorphic Encryption Machine Learning (FHEML) systems.
What is Privasea?
Developed by a fully-remote global team, Privasea is creating a path for web3 and AI to work in harmony.
Their FHEML systems allow AI systems to train on value-laden encrypted data without compromising security or privacy, whilst allowing contributors to benefits with crypto and NFT airdrops.
Backed by both Binance and OKX, and following two strategic funding rounds this year – which have raising over $5M USD – Privasea launched their WorkHeart nodes and StarFuel NFTs on July 10 to help deliver and expand their fast-growing ecosystem.
What are WorkHeart nodes and StarFuel NFTs?
WorkHeart nodes are physical USB devices offered by Privasea. Priced at 0.2 ETH, these act as proof-of-work nodes for the Privasea network, and are at the core of its DePIN architecture.
StarFuel is a 5,000-piece NFT collection, initially offered by Privasea on July 10.
By operating a WorkHeart node, users gain reward emissions. These come in the form of Privasea tokens – which can then be staked into StarFuel NFTs to increase the multiplier on their reward emissions.
StarFuel holders also receive additional benefits, including access to future airdrop campaigns, early access to future developments from the Privasea team, and access to exclusive rewards and discounts.
Owners of both a WorkHeart node and a StarFuel NFT are able to produce testnet tokens for the Privasea ecosystem, with it expected that these testnet tokens will convert into mainnet rewards in future.
Why is Privasea important?
The rise of AI has brought with it many concerns about the future of data privacy. Privasea tackles this directly, creating a way for AI networks to train on encrypted data without compromising privacy or security.
With encrypted machine learning inferences, and the use of secret datasets, Privasea allows valuable insights to be gained from encrypted data, reducing privacy risks and promoting collaboration within a variety of industries, including finance and healthcare.
During their current testnet phase, Privasea are looking to prove that their ecosystem is both secure and user-friendly, ensuring that users retain full control and confidentiality of their data.
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