Private AI
AI that runs on infrastructure you manage or have managed for you, so your data, prompts, and answers never end up with a public AI provider.
What is private AI?
Private AI is AI that runs on infrastructure you manage or have managed for you. The difference from public AI is not the model, but where it runs and who controls it. With private AI you know where your data is, which model answers, and when that model changes.
How does private AI work?
An open-source language model runs on dedicated GPUs. Through RAG, the model gets access to your own documents and systems, so answers are based on your information, with source citations. Employees use it through a chat app, an integration in existing software, or an API. No question or document goes to an external AI provider.
Private AI versus ChatGPT, Copilot, and Azure OpenAI
ChatGPT Enterprise, Microsoft Copilot, and Azure OpenAI are services of US companies. Even with a European data location, they fall under the US CLOUD Act, which can give US authorities access to data held by US providers. The provider also decides when a model is replaced and what it costs. With private AI, those choices are yours.
When do you need private AI?
Private AI pays off as soon as AI processes confidential information: personal data, client files, contracts, or knowledge that defines your competitive position. Help with that choice: when should you choose private AI?
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Frequently asked questions
Is private AI less capable than ChatGPT?
For general knowledge, the largest public models are broader. For questions about your own documents and processes, that matters less: there, the quality of the sources and retrieval determines the answer. We always test a model on your own data before it goes into production.
Is my data used to train the model?
No. Your documents are used to look up answers, not to train the model. They are not accessible to other clients or third parties.
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