Our Mission
We research new materials, AI-powered systems, and energy-efficient processes that are applied in industry and urban spaces.
Concrete prototypes and feasibility studiesOur work is aimed at engineers, scientists, and companies seeking validated concepts and scalable technologies.
Open publications and collaborationsBy combining computer science, physics, and design thinking, we create solutions that are both technically advanced and practically feasible.
Joint projects with universitiesWe avoid empty promises and instead focus on transparent reports about progress, obstacles, and results of our research.
Regular blog posts and whitepapersResearch Start
In 2018, the interdisciplinary team began basic research on adaptive learning algorithms. The goal was to identify patterns in large datasets and derive personalized learning paths from them.
Prototype Phase
By 2020, the first functional prototypes were created and tested in controlled test environments with computer science students. The results showed an 18 percent increase in learning efficiency.
Outlook
From 2025, the technology is to be transferred to regular operation in cooperation with educational institutions. In parallel, work is being done on ethical guidelines for the use of AI in education.
Initial concepts for AI-supported learning analysis were developed and an interdisciplinary team was assembled.
Over 10,000 anonymized learning protocols were evaluated to train initial neural networks.
A first prototype was used in three university seminars and provided promising results for predicting learning difficulties.
The developed method for dynamically adapting practice tasks was published in a specialist journal and met with widespread interest.
A partnership with two adult education centers enabled the testing of the technology in adult education.
The project received the Innovation Award for Digital Education from the Federal Ministry of Education and Research.