Local LLMs – GDPR-compliant AI infrastructure for businesses.

Leverage the potential of local LLMs.

Powerful and perfectly integrated into your own IT infrastructure, local LLMs are the future of generative AI in businesses.

Complete GDPR compliance

Full data sovereignty through local hosting

Demand-oriented performance strength

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Lokale LLM - DSGVO konform und effizient

What are local LLMs (Large Language Models)?

Local LLMs are powerful language models that are operated directly within a company's infrastructure – without connection to public cloud services. They offer maximum data sovereignty, full GDPR compliance, and complete control over sensitive information.
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Examples of well-known LLMs: LLaMA 3, Mistral, Gemma, DeepSeek, Code LLaMA, Mixtral

With Limendo, companies can use modern AI technology directly on-site – as an on-premise solution or in a dedicated tenant.

Local LLMs – Benefits at a glance.

Data protection & compliance

Fully GDPR compliant through local processing.

No cloud binding

100% control over your data, no third-party cloud required.

Flexible infrastructure

On-premise or dedicated tenant possible.

Customisable

Model selection, training, API access & integration.

Innovative & secure

Latest open source models, continuously expandable.

Supported language models (LLMs).

Lightweight models for an efficient start

LLaMA 3 8B (Meta)
Mistral 7B (Mistral AI)
Gemma 7B (Google)
Dolphin 7B (Mistral-Finetuning)

Advanced models for specific areas of application

Command R (Reka) – Dialogue-optimised
DeepSeek R1 7B – Powerful in Math & Reasoning
OpenChat – Community-Chatmodell
Nous Hermes – Natural Language

Powerful models with optional setup

Code LLaMA 13B – For code and technical documents
Mixtral (2×7B MoE) – For high performance

Use case examples for local LLMs in businesses.

Processing of documents.

e.g. incoming invoices, delivery notes, contracts, technical data sheets.

AI-supported knowledge databases.

Document analysis, question systems, internal research solutions.

Automated customer communication.

Chatbots and assistants with sensitive data – hosted locally.

Rule-based classification.

Incoming mail, letters from authorities, offer assignments.

Analysis of product data.

e.g. in industry, pharmaceuticals or commerce.

Your path to your own LLM?

Advice on model selection & infrastructure
Complete installation & API connection
GDPR-compliant configuration (on-premises/tenant)
Performance testing and training

Get started now.

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According to https://www.hostinger.com/tutorials/llm-statistics, 88% of LLM users report that the quality of their work has improved thanks to using LLMs.