We develop your individual AI Strategy. In interactive workshops, we identify suitable Use Cases with high business benefits, prioritize them and create a roadmap for your data and AI initiatives. In doing so, we always consider both quick wins and long-term potential in line with your business goals. You get clarity Where AI has the greatest added value can donate and lay the foundation for successful projects.

From descriptive statistics unto Advanced analytics We help you get valuable data from raw data Insights to generate. Our experts build dashboards and BI solutions to provide decision makers with the right key figures at the right time. We connect data sources, create data quality safe and visualize complex relationships in an understandable way. This makes data an integral part of your decision-making processes and enables you to identify opportunities and risks at an early stage. Whether managementcockpits in Power BI or self-service analytics for specialist departments, we make your company data-driven.

Our data scientists develop tailor-made Machine learning modelsthat fit seamlessly into your processes. From classical forecasting modelling upto Deep learning we cover all methods. We place particular focus on Generative AI and GPT integration: We use Large Language Models (such as GPT-4) for natural language processing, chatbots, automated texts, or intelligent assistants. For example, cutting-edge AI technologies based on OpenAI can be used specifically for your applications. We make sure that explainable and trustworthy AI to develop so that you can use innovation safely and responsibly.

No successful AI without solid data foundations. Our team from Data Engineers designs and implements scalable data platforms, which make all necessary data available centrally — whether in the cloud or on-premises. We build robust Data pipelines for automatic data integration, ensure real-time data flows and straighten Data Lakes/Warehouses one that serve as a single source of truth. Important topics such as Data Governance, surety and performance We always keep an eye on it. Outcome: A sustainable data infrastructure, where your analytics and AI solutions can really get started.

To make innovation tangible, we rely on fast prototypes and Minimum Viable Products (MVPs). Within a few weeks, we will develop a functional AI demonstrator of your use case, be it a first Machine learning model, a small web app with AI backend or an integrated GPT chatbot. This iterative approach (Lean AI) makes it possible to obtain early feedback from users and validate business value before investing in large projects. They see results quickly and can generate enthusiasm internally for further implementation. With each prototype, we also gain valuable insights to develop into a productive solution.

For language models to really understand what is at stake, context needs to be structured, up-to-date and securely integrated. This is exactly where the Model Context Protocol (MCP) comes in: It creates a reliable interface between LLMs and your company-specific data. Whether it's product information, customer knowledge or processes via MCP, this content can be systematically provided, versioned and dynamically updated. This gives LLMs exactly the right context for every request. The result: higher relevance, better answers and maximum control. MCP is the key to professional, scalable use of LLMs in companies.