Context-based AI solutions for Swiss institutions
SteP-met develops AI targeted solutions that use existing data, platforms and processes as their context. Rather than standalone generative AI, the focus is on authorised information from the relevant area of application. This enables educational institutions, sports clubs and businesses to use their existing systems for specific analyses, recommendations and support functions.
AI for education and personalised learning support
SteP-met supports educational contexts across disciplines, from lower and upper secondary education through vocational education and training to pilot and development settings at tertiary (HF/FH) and university levels. Existing learning platforms and learning pathways, for example in OpenOLAT, can be integrated via LTI 1.3 or other suitable LMS interfaces.
Learner progress, assignments and other authorised contextual information provide the relevant input for personalised learning support. This can lead to targeted feedback, analyses and further recommendations. Such an approach builds directly on SteP-met's own pedagogical origins and enhances this experience with personalised learning materials and AI-powered learning aids to develop broader educational contexts.
Context-based AI for corporate training
In corporate training, SteP-met connects existing learning platforms and training data with context-based AI. Competency models, learning paths and relevant business information can thus provide the basis for a much more personalised form of training support.
Unlike AI that processes only generalised knowledge, the SteP-met analysis is based on the specific, authorised business context. This makes it possible to assess learning progress and training needs and then convey suitable recommendations with much greater precision. Existing systems thus remain central to any devised solution.
AI-powered analysis for sports and training
For sports clubs and other sporting applications, SteP-met can make their performance, match and training data available as a practical context for the development of AI support. Data from sports- or performance data providers can be integrated through suitable interfaces and then prepared for the relevant usage strategy envisaged.
This core element enables match and performance analysis, coaching recommendations and the creation of personalised training challenges for individual players or teams. Rather than acting independently, the AI works with the relevant data from each respective sporting context.
AI for business and customer support
Small and large companies alike already have valuable information within their knowledge and support systems. SteP-met simply makes this existing context available for targeted AI support. This may include knowledge bases, product information and internal processes, as well as specific support and customer contexts.
The information provided can support employees in their daily work and thus promote and enable a more targeted customer service. Which data is made available will depend on the previously defined usage strategy and the relevant permissions. Thus the core guiding principle always remains clear: relevant, authorised information provides the context for practical support.
Validate the right AI solution via a pilot project