AI that never leaves your infrastructure
eLLM offers AI solutions that run entirely within your own infrastructure, ensuring data sovereignty and compliance with a tamper-proof audit trail. It's designed for organisations needing local control over sensitive data and scalable operations.
For a lot of the AI conversation happening right now, the starting assumption is that your data goes to someone else's servers. For defence organisations and other regulated bodies, that assumption is where the conversation ends before it starts.
eLLM was built the other way round.
Your infrastructure, your models, your choice
eLLM runs entirely within your own environment. Local models handle your sensitive material by default, nothing is sent to an outside service unless you explicitly choose to register and use a cloud model for a specific task, and even then privacy redaction and spend caps apply automatically.
A full, tamper-proof audit trail
Every question, every answer, and every source cited is recorded in a tamper-proof audit log. That means "we can't verify what the AI actually did" stops being an acceptable answer. You have a complete, exportable record for compliance and investigation whenever it's needed.
Access itself is controlled down to the group level: permissions determine exactly who can upload documents, tag them, add web sources, or connect external tools, enforced at the data layer rather than left to convention.
Scales without compromising the model
As demand grows, eLLM adds capacity without changing any of the above: run multiple local models side by side, add cloud models on tap only where explicitly permitted, or turn approved desktops into a private compute pool (Edge Mesh) for background work. Every scaling method is additive, your documents, settings, and history stay exactly where they are.
If data sovereignty has been the practical blocker on AI adoption for your organisation, see how eLLM is built for exactly that constraint, or get in touch to discuss deployment on your infrastructure.
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