In short
Local AI is AI that does not fully depend on an external cloud environment. Processing happens locally, on dedicated hardware or inside your own network. That keeps the AI foundation closer to the organization using it.

Infrastructure - 5 min
Local AI means AI runs inside your own environment, for example on a local device, server or network. It is about more control over data, availability, cost and dependency on external AI platforms.
Local AI is AI that does not fully depend on an external cloud environment. Processing happens locally, on dedicated hardware or inside your own network. That keeps the AI foundation closer to the organization using it.
A lot of AI usage depends on external platforms with subscriptions, API costs and third-party rules. Local AI reduces that dependency. It is especially relevant when internal knowledge, privacy, continuity or predictable costs matter.
The terms overlap. Edge AI emphasizes processing close to the data source. Local AI emphasizes availability inside your own environment. In practice, the terms are often used together.
Examples include answering internal questions, searching documents, using knowledge bases, summarizing information, running agents or supporting workflows. Not everything has to be local, but sensitive or availability-critical parts often benefit from it.
Local AI requires good choices around hardware, models, access, updates and management. It is not a loose trick, but an infrastructure decision. The strongest setup combines local capability with clear rules about what may still connect externally.
Related terms
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An LLM is a large language model that can understand, predict and generate text. It often feels smart, but the quality of the result still depends heavily on context, model choice and how you use it.
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Edge AI means AI runs close to the source of the data, for example on a device, server or local network. This can improve speed and often gives more control over privacy, continuity and cost.
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On-premise AI means AI runs on infrastructure managed by your own organization or location. It can help with privacy, compliance, continuity and control over systems.
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If you want to know whether AITJE Assistent, AITJE Custom or a future product direction fits your organization, we can go through that with you directly.