If you're looking for a collaborative AI model development and deployment platform with a big focus on data privacy, ClearGPT is a good option. It's geared for enterprise customers with security controls to prevent data and IP leakage. The platform has role-based access controls and data governance to ensure the highest level of control and corporate IP protection. It can run the latest models, including ChatGPT, and has a human reinforcement feedback loop and a continuous flow of fresh data to help AI models adapt.
Another option worth considering is Together, a cloud-based platform for rapid development and deployment of generative AI models. It can run a variety of models and has scalable inference to handle high traffic. The platform includes collaboration tools for model fine-tuning, testing and API key management. It's geared for companies that want to build their own private AI models into their products and avoid paying other suppliers.
Signature is another option, offering custom AI solutions with a focus on private and secure AI models. It includes tools for model training, fine-tuning, data set creation and digital asset management, all with ironclad privacy and integration with existing systems. The platform is good for a variety of industries looking to modernize with secure and custom AI capabilities.
If you're particularly sensitive to data privacy and security, ZeroTrusted.ai has a useful tool with its LLM Firewall, which keeps private information private by optimizing prompts and validating results. The service can be used in conjunction with LangChain tools and other platforms, so it's a good option for tech startups and companies that handle sensitive data.