Question: I'm looking for a platform that allows me to deploy and customize large language models for my enterprise, while maintaining data sovereignty and ownership.

Prem is an AI platform that offers personalized Large Language Models (LLMs) with a simple development environment. It offers data sovereignty and independence from third-party providers, so companies can train models with their own prompts and fine-tune them for their specific business needs. Prem also offers a library of open-source Small Language Models (SLMs) and supports on-premise deployment, so sensitive data stays within the company.

Another option is Lamini, an enterprise-focused platform for training, managing and running LLMs on your own data. It supports memory tuning for high accuracy and can be run on-premise or in the cloud. Lamini also offers a full platform for managing the model lifecycle, making it easy to select models, tune them and run inference.

ClearGPT is designed for internal enterprise use and addresses security, performance, cost and data governance concerns. It has zero data and IP leakage since it runs on a private network, and has role-based access and data governance for privacy and control. This platform is great for companies that want to customize models for their own use cases without vendor lock-ins.

For those who want a more complete enterprise AI foundation, Dayzero offers hyper-personalized applications powered by custom LLMs. It includes products like Worx for training and deploying models, Altimo for intelligent dialogues and content creation, and Blox for process automation. Dayzero is designed to comply with data protection regulations and can be deployed cloud-agnostic, making it a good choice for enterprises.