Synesis One utilizes a decentralized platform to change how data is acquired and monetized for AI training. By using blockchain technology, the project aims to ensure fairness and transparency while democratizing access to data. The core function is a data crowdsourcing system where individuals complete micro-tasks to help develop AI, receiving rewards in return to support a community-led environment.
The ecosystem relies on a dual token structure intended to recruit, keep, and compensate participants, especially skilled ontology miners. According to the team, revenue is expected to be generated from mining fees, trading fees, creator royalties, DeFi service fees, and the treasury. This varied income model is designed to maintain sustainability and allow for effective participant rewards.
On the Solana blockchain, Synesis One plans to pioneer the Train2Earn concept. This approach allows users to earn rewards by training AI, which contributes to creating more advanced and efficient systems.
Additionally, the platform introduces Kanon NFTs to enhance user engagement. These NFTs provide membership access to games and other activities within the ecosystem. They also enable owners to generate passive income when AI clients access or use the data linked to the NFTs, directly connecting data contribution to financial gain.
In summary, Synesis One aims to transform data sourcing and monetization for AI through a blockchain-based, community-driven model. The goal is to build a more accessible and equitable data ecosystem that benefits AI development with diverse datasets while rewarding individual contributors. Potential users are advised to perform thorough research before participating.