If you're looking for a blockchain platform that includes AI oracles for DeFi use cases and that offers verifiable proofs, Oraichain could be the answer to your prayers. It's a Layer 1 blockchain with decentralized AI oracles and multidimensional verifiable proofs that's geared for secure connections to Web3 applications like DeFi, NFT marketplaces and smart healthcare. The platform also has an accelerator program and IBC-enabled interoperability, which makes it a good option for developers and businesses looking to integrate AI into their Web3 apps while maintaining verifiability and security.
Another contender is Oasis, which offers scalable and private Web3 and AI applications with a focus on smart privacy. Oasis lets developers create private decentralized applications (dApps) using its confidential Ethereum Virtual Machine (EVM) and has a Privacy Layer for adding privacy to existing dApps and a Multi-Layer Architecture for running multiple runtimes. The platform is suitable for a variety of use cases, including decentralized AI, DeFi and NFTs, and offers tools like Solidity and the Oasis Playground for learning and development.
For hosting decentralized AI models, Heurist is a Layer 2 blockchain protocol that offers serverless access to open-source AI models through a zero-knowledge (ZK) Layer-2 network. It also comes with an AI dAPP Store for monetizing model executions and a decentralized registry for open-source AI models. Heurist seeks to lower costs and increase innovation for both Web2 and Web3 users, so it's a good option for developers and companies that want to host AI models in a decentralized way.
Last, AIxBlock offers a decentralized supercomputer for running AI work, letting developers create, deploy and monitor AI models and dramatically lower compute costs. The platform includes a peer-to-peer decentralized compute marketplace and tools like Jupyter Notebook, Docker and Kubernetes for easy integration. AIxBlock has a secure and transparent payment mechanism, making it a good option for AI creators and compute providers looking to lower costs and improve the quality of AI data.