If you want a foundation to commercialize your AI models and data while keeping control and privacy, Ocean could be the best fit. Ocean lets you use tokenized data and AI services to keep data private, with options like Data NFTs for customizable access controls and encryption, and Datatokens for token-based access to data. The platform also supports Compute-to-Data, which keeps data on the user's machine, and decentralized data marketplaces for secure data sharing.
Another strong contender is ClearGPT, a private, enterprise-focused foundation for internal use within companies. It's got role-based access controls and data governance for the strongest possible privacy and control, and it's got a human reinforcement feedback loop for training models. ClearGPT's private network means no data leakage and no vendor lock-in, so it's a good option for companies that want to build AI into their operations without worrying about outside forces.
If you want a focus on custom-built AI applications with strong privacy controls, check out Signature. The foundation lets you train private AI models and integrate them with your own systems, so it's good for marketing and graphic design, among other fields. Signature lets companies use AI without giving up control over their intellectual property.
Last, Pickaxe is a general-purpose foundation that lets creators build and sell AI applications that match their expertise. With options like creating custom AI tools, setting price and usage limits, and resources for designing prompts and integrating with APIs, Pickaxe is good for entrepreneurs and professionals who want to use AI for their work and turn their expertise into something they can sell.