Local LLM – AI on premise
AI is transforming how businesses operate. But when using cloud-based AI, sensitive company data often has to leave your infrastructure. For many organizations, this raises questions about security, privacy, and control.
That’s why running a Local LLM (Large Language Model) on-premise can be a game-changer.
Why Local LLM?
Data stays in your infrastructure
Your information never leaves your servers, ensuring full control and compliance with internal policies and regulations
Security and privacy by design
No exposure to external providers means reduced risks of leaks or misuse of sensitive business data
Customization to your workflows
Local models can be fine-tuned using domain-specific data so it understands your business language, industry terms, and unique processes
Cost efficiency at scale
Avoid recurring API costs by running AI workloads directly on your hardware
Agentic AI capabilities
Beyond answering questions, Local LLMs can act as autonomous agents: planning, reasoning, and executing tasks across your systems. This enables smarter automation, decision support, and proactive assistance — all under your control.
Our Technology Stack
At Aulora AG, we implement Local LLM solutions using trusted open technologies such as:
Ollama
For lightweight local LLM hosting
n8n
For workflow automation and orchestration
MCP
(Model Context Protocol) for reliable integration
OpenWebUI
For a user-friendly interface