Local AI for companies: AI that stays in-house.
We install language models on your own hardware and connect them to your workflows: searching documents, pre-sorting emails, reading receipts, minuting meetings. Your data does not leave the company, and there are no per-request costs.
Where local AI saves time in everyday work
Search knowledge
Ask contracts, manuals, quotes or tickets questions in plain language. The answer cites its source (Retrieval Augmented Generation, RAG).
Pre-sort the inbox
Recognise and assign enquiries and prepare draft replies. A person checks and sends.
Read invoices
Capture invoices, delivery notes and forms and hand them over in structured form to accounting or ERP.
Minute meetings
Convert recordings to text locally, summarise them and derive tasks.
Internal assistant
A chat for employees that knows company knowledge and shows only what each user is allowed to see.
AI for your documents
Search quotes, contracts and manuals without the cloud.
More WEB APPSAI web applications
Portals and internal tools with built-in AI, or AI integrated into your existing software.
MoreSomething else?
Describe the process that currently takes the most manual work. We will tell you whether AI is worthwhile for it.
What we work with
We rely on established open-source tools so that your system is not tied to a single vendor.
- Open language models such as Qwen, Gemma, gpt-oss or Mistral, matched to task and hardware
- Operation via Ollama, llama.cpp or vLLM, interface for example with Open WebUI
- Document search with vector database and source citation
- Local speech recognition based on Whisper
- Connection to email, file server, document management and ERP via interfaces
- Permissions and login via your existing user directory
How to get your own AI
- Initial consultationWhich tasks, which data, which requirements.
- AnalysisWhere does AI measurably save time? Estimate effort and hardware requirements.
- PilotOne process is implemented and tested with real data.
- Hardware and installationSet up the server, connect the model, assign access rights.
- OperationUpdates, new models and extensions as needed.
Frequently asked questions about local AI
Do we need our own graphics card or a server?
For most applications, yes. Language models run fastest on graphics processors. The equipment needed depends on model size and number of users. Details in the guide to AI hardware.
Is this GDPR-compliant?
With local operation, the data does not leave your network and there is no data transfer to external AI providers. Other obligations, such as access rights and documentation, still apply.
How good are open-source models?
Current open models handle German well and are sufficient in many cases for summarising, searching, classifying and drafting. For each task, we test in the pilot whether the quality is good enough.
What does it cost?
That depends on hardware and effort. After an initial conversation and a short analysis you will receive a concrete quote.
Arrange an initial conversation
Briefly describe your company and the task. We will get back to you with suggested times for a non-binding conversation.
By phone: 030 417 17370
Briefly describe what you have in mind. We will get back to you with a concrete assessment.
Danziger Straße 78a
10405 Berlin
Berlin-Prenzlauer Berg