Private AI in Switzerland
Definition, variants, costs and decision path for companies that need control over data and operation.
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Every article starts with a direct answer, explains the subject in depth, compares options in tables and ends with a decision guide – with author and date of update.
Definition, variants, costs and decision path for companies that need control over data and operation.
ReadWhat on-premise means today, what it requires and when hybrid is the better choice.
ReadDefinition, sources, limits and security of knowledge systems with source references.
ReadAgent, chatbot and workflow compared – and which approach fits when.
ReadQuality, data protection, costs, latency and operation compared side by side.
ReadCost blocks and scenarios: licence, operation, integration, nodes, models.
ReadWhat Swiss companies need to consider under Switzerland’s Federal Act on Data Protection (FADP) when using AI.
ReadCloud, private cloud, on-premise, hybrid – and why the application layer should be decoupled from the model.
ReadLLM, RAG, embedding, agent, Model Routing, node and more – explained briefly.
ReadIf you understand what a model can and cannot do, where data may be stored and what operation costs, you make better decisions – including decisions against AI. That is why we write for management teams and IT managers, not for search engines.
Every article links to the relevant products, Labs topics and, where available, case studies.
The Swiss AI Agency & Labs team – consulting and engineering. Every article shows the author and the date of the last update.
The articles focus on the subject and only mention products where they are relevant. A recommendation can also be: no product, no project.
Yes, with a reference to the source.
The AI potential assessment checks a specific workflow – free of charge, with a clear recommendation.