Full data control
Processing exclusively inside your infrastructure.
02 / 08 — Services
Local AI Models
In short
Local AI means the language model runs on your server, workstation or data centre — not at a cloud provider. We select suitable open-source models, size hardware and quantisation, set up inference servers and connect the model to your documents and applications.
01
How it works.
The typical data flow — from input to result. Every station is replaceable and adapted to your systems.
- 01Your documents
- 02Vector index
- 03Local LLM (GPU)
- 04Internal API
- 05Chat & tools
02
What we deliver
Language models on your own hardware — data-sovereign, no cloud dependency.
- 01Advice on model choice, hardware (GPU/CPU/RAM) and realistic throughput
- 02Inference servers with a secured, OpenAI-compatible API
- 03Quantisation and tuning for your hardware
- 04RAG over internal documents, completely offline
- 05Internal chat interface with user and permission management
- 06Monitoring, updates and model swaps in live operation
03
A look at the code.
This is what an excerpt from a typical project looks like — readable, commented and without magic. That is exactly how we hand code over to your team.
# Inferenzserver auf eigener Hardware — kein Byte verlässt das Haus
$ nvidia-smi --query-gpu=name,memory.total --format=csv
$ llama-server -m modelle/instruct-q4_k_m.gguf \
--ctx-size 16384 --n-gpu-layers 99 --host 127.0.0.1 --port 8080
$ curl -s localhost:8080/v1/chat/completions \
-d '{"messages":[{"role":"user","content":"Fasse Vertrag 17 zusammen"}]}'
# → OpenAI-kompatible API, abgesichert hinter Reverse Proxy + SSO04
What you get out of it.
Predictable cost
Hardware instead of token billing.
Works offline
Runs even without an internet connection.
Honestly sized
We benchmark up front instead of promising speed.
05
Typical scenarios
02.1
Law firms & practices
Search and summarise confidential documents without data leaving the building.
02.2
Manufacturing
An assistant for machine manuals and maintenance logs on the shop floor — even offline.
02.3
Engineering teams
A coding assistant on your own GPU so source code never travels to third-party clouds.
02.4
Public sector & associations
AI with full control over storage location, logging and access.
06
Matching solutions.
S1 
Company knowledge assistant
A chat assistant with RAG over all approved sources, per-document permission checks and answers with citations.
- Answers with evidence
- Permissions preserved
- Runs locally or in the EU
S6 
Private in-house AI platform
A GPU server with local language models, internal chat interface, user management, logging and an API for your own tools.
- Company data stays in-house
- Predictable cost
- One interface for everyone
07
Frequently asked questions
What hardware does a local language model need?
It depends on model size and the speed you need. Smaller models already run on a workstation with a modern graphics card or an Apple Silicon machine; larger models need more video memory. We benchmark on comparable hardware up front instead of guessing.
Are local models as good as ChatGPT?
For many concrete tasks — summarising, extracting, answering from your own documents — current open models deliver very good results. For broad general knowledge large cloud models are often stronger. We test with your real tasks and recommend honestly.
Is local AI GDPR-compliant?
Running locally simplifies data protection considerably because no data is transferred to third parties. We implement access rights, logging and deletion policies together with you.
More services
01 / 08
AI Agents & RAG
LLM applications that work with your data and complete tasks on their own.
03 / 08
AI Automation
Business processes that run themselves — with intelligent assistants and integrations.
04 / 08
Mobile Apps
Native and cross-platform apps for iOS and Android — from Swift to Flutter.
Ready when you are
Let’s talk.
Describe your project in a few sentences — you’ll get an honest assessment of feasibility, effort and the way forward.
- info@quell-code.com
- Phone
- Call-back on request
- Response time
- usually 2 working days
- Languages
- Deutsch · English · Türkçe