Question: Do you know of a platform that offers a secure environment for building and managing AI models, with features like on-premise hosting and PII detection?

Allganize is a comprehensive platform that provides a range of large language models and RAG-enhanced search capabilities. Designed for businesses, it offers domain-specific on-premise LLM models and secure, scalable infrastructure. With features like middleware for connecting to over 100 data sources and integration with top AI models, Allganize ensures data security with PII detection and ISO/IEC27001 certification. It is particularly suited for industries such as insurance, financial services, and ecommerce.

UbiOps is another robust option, offering an AI infrastructure platform that allows teams to run AI and machine learning workloads as reliable and secure microservices. With capabilities for hybrid and multi-cloud workloads, UbiOps supports on-premise deployment, private environments, and strong security. It's user-friendly, scalable, and integrates smoothly with popular tools like PyTorch and TensorFlow, making it accessible for both seasoned and new users.

For those seeking a platform that emphasizes security and compliance, Credal is worth considering. It provides a suite of tools for building secure AI applications with built-in security, access controls, and compliance features like automatic redaction of PII and SOC 2 compliance. Credal’s Retrieval Augmented Generation technology and multimodal support make it an excellent choice for enterprises ready to leverage AI without security and compliance concerns.

Lastly, Prem offers a tailored AI platform for using personalized Large Language Models (LLMs) with easy-to-use development environment, ensuring data sovereignty and independence from third-party providers. It supports on-premise deployment, which is ideal for keeping sensitive data secure, and provides a library of open-source Small Language Models for custom fine-tuning.