Private AI

Private AI for Enterprise Applications

Private AI for Enterprise Applications

Private AI for Enterprise Applications

You can design business applications to limit what information reaches an AI model. Whether data stays within your chosen environment depends on the model provider, hosting setup and the connections you configure.

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Private AI, sovereign AI and public AI

Private AI focuses on limiting access to data and models. Sovereign AI adds stronger control over infrastructure, jurisdiction and provider dependencies. A public AI service may be suitable for low-risk tasks, but needs a separate review for sensitive workflows.

Where Betty Blocks fits

Betty Blocks can be used to build business applications with controlled user journeys and integrations. The privacy and sovereignty of any AI feature depend on the model and deployment choices. Ask for a demonstration using your intended data flow rather than a generic assurance.

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Get in touch

Planning a governed AI application?

Discuss the architecture.

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Get in touch

Planning a governed AI application?

Discuss the architecture.

Image

Get in touch

Planning a governed AI application?

Discuss the architecture.