AI Technologies

We rely on state-of-the-art AI technologies to develop tailored solutions for your business. From retrieval-augmented generation and large language models to computer vision and deep learning – our tech stack is aligned with your requirements.

Our AI Technologies at a Glance

From idea to production-ready AI solution – these are the technologies we use to deliver your projects.

AI Chatbot Development with RAG

Retrieval-Augmented Generation (RAG) enables chatbots grounded in your own data. Your documents, FAQs, and knowledge bases become the foundation for an intelligent, always-available digital assistant.

Large Language Model Integration

We integrate and fine-tune large language models – both open-source and proprietary LLMs. From model selection and prompt engineering to a production-ready API integration.

Computer Vision Solutions

Image recognition, object detection, and visual quality assurance: using PyTorch, OpenCV, and Ultralytics, we build custom vision solutions for industry and research.

NLP Development & Language Processing

Automated text analysis, sentiment detection, multilingual systems, and speech recognition with Whisper – we unlock the value of unstructured language data for your organization.

Deep Learning Training & Consulting

From data pipelines and model training to deployment: we support your entire ML lifecycle with PyTorch, LangChain, and specialized deep learning frameworks.

Local GPU Cluster – AI on-Premise

Dedicated GPU infrastructure for privacy-compliant AI inference and deep learning training

For our clients and our own AI projects, we operate a dedicated local on-premise GPU cluster. This gives us – and you – decisive advantages:

  • NVIDIA GPU cluster for compute-intensive deep learning training and LLM inference
  • Run local open-source models with LLaMAc++ and Text Generation Inference (TGI) – no cloud dependency
  • 100% data sovereignty: sensitive business data never leaves your network – fully GDPR-compliant
  • Scalable resources from rapid prototyping to production AI workloads
  • No cloud lock-in: full control over models, data, and costs

Private AI is not a compromise – it's often the smarter choice.

AI Projects in Practice

From AI chatbots for sports associations to specialized deep learning solutions – selected references from our AI projects.

Confi-GRIP
Confi-GRIP

Web-based configurator for the AI-supported design and simulation of robotic grippers.

"Smashy" – the AI Chatbot on tennis.de
"Smashy" – the AI Chatbot on tennis.de

Digital self-service for the tennis community: AI-powered chatbot with RAG technology for quick answers about rankings, licenses, and tournament rules. Multi-tenant capable for nationwide rollout.

Digital Assistant for the German Olympic Sports Confederation (DOSB)
Digital Assistant for the German Olympic Sports Confederation (DOSB)

AI-powered chatbot for organized sports in Germany. Accessible, multilingual, and GDPR-compliant with RAG technology for reliable, source-based answers.

VIPR Framework
VIPR Framework

Framework for invertible neural networks in materials research

Our AI Tech Stack

These are the tools and frameworks we use daily in production AI projects.

  • Apache Kafka
  • Apache Spark
  • Docker
  • Grafana
  • HuggingFace
  • LangChain
  • LLaMAc++
  • MongoDB
  • NLTK
  • Nvidia
  • OpenCV
  • Python
  • PyTorch
  • PyTorch Geometric
  • Text Generation Inference
  • Ultralytics
  • VTK

Ready to take the first step?

Contact us now and we will find the right solution for your requirements!