AI for Data That Can’t Leave
Run powerful generative AI inside an isolated environment — without requiring sensitive information to be sent to an external AI provider.
Air-Gapped AI. Maximum Isolation. Complete Infrastructure Control.
When Private Isn’t Enough
Some Information Requires Isolation
Cloud security can be highly sophisticated. But some organizations need something different:
Their sensitive data cannot leave their environment.
KoolBox can operate completely air-gapped using local AI models and organizational data within infrastructure controlled by the customer.
How It Works
Bring the AI to the Data
Deploy Locally
Install KoolBox within your controlled infrastructure.
Connect Approved Knowledge
Make selected documents and organizational information available to your AI environment.
Run AI Locally
Use supported local AI models without relying on an external AI API.
Keep Sensitive Data Inside
Prompts, documents, responses, and organizational knowledge all remain within the controlled environment.
Definitions
What Air-Gapped Means
Built for Highly Sensitive Information
Who Should Consider Air-Gapped AI
Some Data Should Stay Where It Is.
Bring AI to it.
FAQ
Frequently Asked Questions
Air-gapped AI operates within an environment isolated from external networks. KoolBox can be configured with supported local AI models and local organizational data so AI workloads can operate without requiring an external AI API.
It depends on the deployment. Cloud deployments require connectivity, while supported air-gapped deployments can operate without continuous external internet access.
That depends on the deployment and configuration. KoolBox supports local architectures where AI models and organizational data operate within customer-controlled infrastructure.
Not necessarily. Major public AI platforms can provide sophisticated security. The difference is that some organizations and workloads require information to remain within a specific environment, or require AI to operate without external connectivity.
Organizations handling highly sensitive information may benefit from air-gapped AI, including those working with confidential client data, sensitive financial or healthcare information, intellectual property, proprietary research, trade secrets, and mission-critical corporate knowledge.
KoolBox runs supported open-source models locally on your own hardware, including Llama, Mistral, Phi, Gemma, Qwen, DeepSeek, and other GGUF-compatible models. Models are staged into the environment rather than called over an external API.