Question: Looking for a way to add AI capabilities to my software without compromising on data privacy, can you recommend a solution that offers local deployment and enterprise support?

If you want to build AI into your own software without sacrificing data privacy, Aible is a good option. This enterprise AI service lets you run generative AI applications in your own private cloud environment, with secure access to both structured and unstructured data. It includes features like auto-improvement, content generation and sales optimization, with strong data privacy and security.

Another good option is ClearGPT. This service is for internal enterprise use, designed to address security, performance and data governance concerns. It protects data and intellectual property by running on a private network, with role-based access and continuous fresh data for adaptive AI. That makes ClearGPT a good option for automating tasks, boosting productivity and fitting into existing applications.

For a more specific focus on data security and compliance, Credal offers an AI platform that uses a company's own data. It's got built-in access controls, compliance features like SOC 2, and end-to-end security, making Credal good for enterprise use cases like workflow assistants and AI chat. It offers point-and-click integration with many data sources and a variety of plans for different business needs.

Last, Lyzr offers an autonomous AI agent management platform that protects data privacy by running AI agents directly on your own cloud infrastructure. With features like toxicity control, reflection and reinforcement learning, Lyzr can be used for applications like lead generation and customer service. The platform meets ISO 42001 AI safety standards and SOC2 compliance, and offers strong data security and 24/7 enterprise support.