Introduction
The ConfidentialMind platform runs large language models and AI systems entirely within your own infrastructure — on-premises, air-gapped, or in your cloud. From a single portal you can deploy models, connect external providers, and build AI systems over your own data, then integrate all of it into your software through clean HTTP APIs. Security and ease of use are the priorities: your data never leaves your environment, and teams deploy and use AI without managing the infrastructure underneath.
Who is this for?
Developers integrating AI into their products Call models and AI systems over an API key — no AI infrastructure to build or run. → Try Getting Started, then the AI APIs.
Teams installing and operating the platform Stand up ConfidentialMind on your own infrastructure and manage models, tenants, and access. → Begin with the Stack Introduction and Installation.
The platform
ConfidentialMind is a Kubernetes-based set of containerized services for running LLMs and AI systems on any cloud or private environment. Standard Kubernetes components are configured to work together through ConfidentialMind's proprietary technology, adding the security controls, authentication, and management layer that production AI needs.
On-premises
The platform runs in on-premises and air-gapped environments. A simple installation tool sets it up — and can provision the Kubernetes environment itself on top of your existing virtual machines or bare-metal servers.
Cloud
We currently support Microsoft Azure and AWS, with GCP and IBM Cloud coming soon. The same installation tool deploys ConfidentialMind on any infrastructure that offers managed Kubernetes and the necessary compute.
Next steps
- Getting Started — deploy a model and chat with it.
- AI APIs — integrate models and RAG into your own software.
- Stack Introduction — install and operate the platform.