The Mission

Our mission is to modernize the administrative backbone of Dutch higher education by replacing inefficient, manual scheduling processes with a research-driven, automated optimization framework. We aim to empower universities to reallocate their most valuable resources—time and budget—away from repetitive administrative tasks and back into core educational and research excellence.

The Challenge

Currently, several Dutch universities rely on manual administrative processes to generate academic schedules. This approach is not only labor-intensive and prone to human error but also fails to optimize resource allocation. We are developing an automated scheduling system designed to eliminate these inefficiencies, significantly reducing administrative overhead and operational costs while ensuring a more seamless experience for both staff and students.

The solution

Our proposed solution is a Hybrid Solver Engine designed to automate the complex "University Course Timetabling Problem" (UCTTP). Rather than relying on a single algorithm, our approach synthesizes two distinct computational methods to ensure both mathematical feasibility and human-centric optimization.