Artificial Intelligence for Businesses

Together, we identify and evaluate hidden potentials for the use of artificial intelligence. Depending on the use case, we focus on the deficiencies of currently implemented software solutions or specific areas for action in business processes. We help you identify use cases that don't just sound great, but are also technically feasible and promise a genuine, measurable added value. Through our results-oriented consulting, we ensure that investments in AI technology are sustainable and strengthen competitiveness.

To minimize risks and establish a solid basis for decision-making, we rely on exploratory prototyping. In this phase, we quickly and agilely develop a functional Proof of Concept (PoC) that demonstrates the technical feasibility of your AI idea. We outline the necessary data foundation and technical solutions, allowing you to see exactly how the technology will function in your specific context before you invest in full-scale development. This iterative approach enables you to find the right direction early on and strengthens confidence in the project.

The success of AI applications depends significantly on the quality of the models and their adaptation or training for your specific use case. As part of a project, we select suitable models, determine the most promising training method, and carry out the training and fine-tuning of the models based on the data you provide.

Often, a completely new software solution isn't necessary. That's why we extend existing enterprise software with helpful AI functions such as chatbots, recommendation, or classification systems. To achieve this, we draw on a broad knowledge base regarding various platforms, programming languages, and integration possibilities to find the right solution for your individual use case.

If the development of new software is planned, where an Artificial Intelligence-based solution is the core component, we naturally offer all the necessary services for the full-scale development of enterprise software in addition to working on the AI core functions themselves.

👉 Find out more about software development

The deployment of commercially available AI tools often fails due to the lack of integration with corporate data. We solve this problem by developing interfaces and tools that link existing data with the AI applications being used, ensuring their currentness and integrity. We rely on various technologies to achieve this—from No-Code platforms to individually developed data synchronization services.