Snacks

We have developed a framework that connects world models of technical systems with large language models. This gives AI a clearly defined technical context — enabling traceable, reproducible and reusable analyses.

Building, calibrating and testing sensors – and analysing measurement data with Python: during his summer internship, Julian did not just get to know our work, but contributed directly to real-world tasks.

Since the end of 2025, we have also been offering consulting as a standalone service. Two practical examples show why the bottleneck in digitalisation projects is rarely the technology itself, but rather the connection between organisation, process knowledge and technology.

66 minutes, three runners per relay team and plenty of team spirit: why the LE Laufevent has long since become one of our favourite traditions – complete with a statistically highly questionable analysis.

Digitalisation is more than an app or a dashboard. We connect sensors, hardware, automation and data science to turn existing data into knowledge that can actually be put to use.