If you're interested in a platform that incentivizes users to contribute to a decentralized data network for AI tasks, UpRock is a great option. The platform lets people monetize otherwise unused internet capacity by donating it to AI projects. Users are rewarded with crypto tokens, with a native cryptocurrency built on the Solana blockchain. The company's core technology includes sophisticated web crawling, intelligent routing and LLM data extraction methods to provide uncensored, global knowledge directly to users.
Another interesting option is AIxBlock, which provides a decentralized supercomputer for AI work. On the platform, users can build, deploy and monitor AI models while dramatically reducing compute costs. AIxBlock has a peer-to-peer decentralized compute marketplace and a data engine to source, curate and label data. It also has an MLOps platform for auto and distributed training, making it a full-featured option for AI developers and freelancers.
For those interested in tokenized data and AI services, Ocean is a good option. It lets people monetize AI models and data while protecting privacy with Data NFTs and Datatokens. Ocean offers features like self-custody, storage encryption and customizable access controls. It also lets people build token-gated AI dApps and APIs, making it a good option for building decentralized data-driven apps.
Last, Arbius provides a decentralized peer-to-peer machine learning network where people can earn tokens by solving AI models. The network is open-source and uses a DAO governance model, so model creators can set their own fees and reward distribution. Arbius incentivizes solvers to optimize their software for fast results, offering a way for people to profit from interacting with AI models.