Question: Is there a platform that offers enterprise-grade security and customization options for building AI chat apps?

If you're looking for an enterprise-grade platform that offers robust security and customization options for building AI chat apps, ClearGPT is an excellent choice. It uses generative AI and Large Language Models (LLMs) like ChatGPT, specifically designed for internal enterprise use to overcome security, performance, cost, and data governance concerns. With features like role-based access, data governance, a human reinforcement feedback loop, and full customization, ClearGPT ensures zero data leakage and IP protection while integrating seamlessly into existing applications.

Another great option is Mendable, which offers enterprise-grade security with SOC 2 Type II Certification, Single Sign-On, Role-Based Access Control, and Secure Data Connectors. Mendable supports various use cases such as customer support and sales enablement, and provides advanced customization options including model modification, multiple model support, and continuous training. It also offers integration with a variety of tools and APIs, making it a versatile choice for building AI chat applications.

Credal is another platform that focuses on security and compliance, with built-in access controls, automatic redaction of personally identifiable information, and SOC 2 compliance. It supports the creation of secure AI applications with features like Retrieval Augmented Generation (RAG) technology and multimodal support. Credal offers various plans, including a free plan and a small companies/teams plan, making it accessible for different business sizes.

For those who prefer an open-source option, Dify offers a flexible platform for building generative AI applications with secure data pipelines and customizable LLM agents. Dify's Orchestration Studio allows for easy design of AI apps, and its on-premise options ensure data security and compliance. With multiple pricing tiers, Dify caters to various needs, from individual developers to large-scale enterprises.