Artificial Intelligence
You want to bring AI into your daily workflow but don't know where to start? You need an intelligent solution that understands your data – without sending it to the cloud? Or you simply want to know whether AI makes sense for your specific use case?
No problem! We'll get it done for you!
AI consulting and integration
Not every problem needs AI – but where it fits, it can make an enormous difference. Together with you, we analyse which processes can be meaningfully automated or improved through AI. Whether text processing, data analysis, classification, or chatbots: we integrate AI capabilities precisely into your existing software and infrastructure.
Prompt engineering
The quality of results depends on how you communicate with the model. We develop precise prompt strategies for your use cases – from simple queries to complex chain-of-thought and few-shot approaches. Whether you use GPT, Claude, Gemini, or a local model: we get the maximum out of every language model and document the prompts so your team can evolve them independently.
AI security and prompt injection
Where AI processes user input, new attack vectors emerge. Prompt injection – the deliberate manipulation of AI instructions through malicious input – is one of the biggest security risks when deploying language models. We understand these risks and protect your systems accordingly: through clean architecture, input validation, system prompt hardening, and strict separation of instructions and user data. This keeps your AI application reliable – even when someone tries to trick it.
Local AI – when your data needs to stay with you
We absolutely work with cloud-based AI services like GPT, Claude, or Gemini – for many use cases, that’s the fastest and most cost-effective route. But when data privacy and confidentiality require it, we deploy local AI solutions that run entirely on your own infrastructure – no cloud, no data leakage. Whether on a dedicated server or within your existing network: your sensitive data never leaves your company. Which approach is right for you – we’ll figure that out together.
RAG – AI powered by your company knowledge
With Retrieval Augmented Generation (RAG), we connect AI language models to your own documents, databases, and knowledge stores. The result is an AI that doesn't just have general knowledge but understands your products, processes, and policies. Ideal for internal knowledge bases, customer service, or rapid research across large document collections.
What we deliver
- Analysis and consulting: where does AI make sense for your business?
- Prompt engineering – tailored prompt strategies for your workflows
- Integration of AI APIs (OpenAI, Anthropic, Google, Mistral and others) into your applications
- Local language models on your own hardware – GDPR-compliant and independent
- RAG systems connected to your data sources
- Workflow automation through intelligent text processing
- Chatbots and assistants for customers or employees
AI training – from beginner to expert
We offer hands-on training for all experience levels. For beginners: AI fundamentals, practical use of ChatGPT, Claude, and Gemini in daily work. For intermediate users: prompt engineering, automation, and integration with existing tools. For experts: local models, RAG architectures, fine-tuning, and custom AI pipelines. All training is available on-site or remotely.
Models and technologies
We work with leading commercial models: GPT (OpenAI), Claude (Anthropic), Gemini (Google), and Mistral and Mixtral (Mistral AI). For open-weight models, we use Llama (Meta), Mistral and Mixtral, Gemma (Google), Qwen (Alibaba), and Phi (Microsoft).
Our frameworks include LangChain, LlamaIndex, Ollama, and vLLM. For vector databases we use ChromaDB, Qdrant, or pgvector. Integration happens within your existing infrastructure – whether Python, Node.js, .NET, or as a standalone microservice.
Do you want to know more? Contact us and we will be happy to explain how we work and what we can do for you.