If you're looking for a way to run AI models in your own environment, ClearGPT is a great option. This enterprise-focused platform uses generative AI and Large Language Models (LLMs) like ChatGPT but is designed for internal enterprise use. It includes data governance, corporate intellectual property protection and role-based access controls to keep your data private and secure.
Another option is Zerve. It lets you run GenAI and LLMs in your own infrastructure, giving you more control and faster deployment. It combines open models with serverless GPUs and your own data, and you can self-host on AWS, Azure or GCP instances for complete control over data and infrastructure.
If you need to keep data private and secure when using LLMs, check out ZeroTrusted.ai. The service has an LLM Firewall that keeps prompts anonymous and validates results to prevent data exposure. It offers several pricing tiers, including an Enterprise plan with custom integrations and AI Governance System, so it's a good option for companies with sensitive data.
Last, Credal offers a platform for building AI applications that are secure for your company's data. It's got built-in security, access controls and compliance features like SOC 2 compliance. With workflow assistants, enterprise search and AI chat tools, Credal is designed to let companies use AI without worrying about security and compliance.