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Strict regulatory requirements
Meeting compliance requirements for sensitive data
On-Premise AI Solutions for Maximum Data Sovereignty
For organizations with the highest security and compliance requirements, we implement AI solutions that are operated in your own data center or in dedicated environments.
Use Cases
When On-Premise AI Solutions Make Sense
In certain organizations, data must not leave their own infrastructure. Reasons for this include regulatory requirements, internal security policies, or particularly sensitive information.
On-premise AI solutions enable the use of AI without compromising data sovereignty and control.
Sensitive or confidential data
Protection of particularly sensitive information
Requirements for operation in own infrastructure
Operate AI solutions in your own data center
Methodology
Our Approach
We design and implement on-premise AI solutions so that they can be integrated into existing IT landscapes and remain operable in the long term.
We consider both technical and organizational framework conditions.
Architecture aligned with existing systems
Seamless integration into your IT infrastructure
Clear separation of data, models, and application
Modular structure for maximum flexibility
Operations concepts together with internal IT teams
Close collaboration for sustainable operations
Security
Security & Operations
Security is not an add-on, but the foundation of every on-premise AI solution.
Operations are conducted entirely under your control – with clear responsibilities and transparent architecture.
Complete data sovereignty
Your data remains in your infrastructure
Fulfillment of internal and external compliance requirements
Compliance with all relevant guidelines and standards
No use of data for model training
Your data remains confidential and is not used for AI training
Implement On-Premise AI Securely
We'd be happy to discuss together whether an on-premise AI solution makes sense for your organization and how it can be implemented.