If you need a system that lets you run AI models on your own premises while keeping data private, Prem is worth a look. The service lets companies use personalized Large Language Models (LLMs) with a development environment that's relatively easy to use and that's customized for their needs. It offers data sovereignty and independence from third-party providers, so sensitive data stays in-house. With features like prompt engineering, evaluation, and deployment, it's accessible even to those who aren't AI gurus.
Another contender is Stack AI, which links AI to a broad range of data sources to automate back-office work and boost productivity. The service has an interface with drag-and-drop tools, prebuilt templates and no programming required. It also has strong security protections, including SOC2, HIPAA and GDPR compliance, and can be deployed on-premise for maximum data security.
ClearGPT is another enterprise-grade, internally used platform that's designed to overcome security and data governance issues. It uses generative AI and LLMs like ChatGPT but is designed to address security and data governance issues. ClearGPT has zero data and IP leakage, running on a private network with role-based access and data governance for privacy and control. It's geared for companies that want to use AI to innovate while keeping their sensitive data under wraps.
If you're more interested in data analysis than training AI models, take a look at Align AI. The service can evaluate and optimize LLM-based conversational products like AI chatbots by analyzing how people use them. It can be customized with on-premise deployment, which means you have full control over data and strict security compliance. Align AI puts data security first, with compliance to industry standards like SOC 2 and GDPR, so it's a good option if you want to use AI without worrying about data breaches.