CauseNex is founded on an M.Sc. research project at Constructor University Bremen investigating causal AI methods for industrial equipment fault diagnosis.

Our work focuses on going beyond conventional anomaly detection — building models that recover the underlying physical mechanism of a fault, not just its statistical signature. The methodology has been evaluated on established academic benchmarks in industrial condition monitoring.

Detailed methodology, results and benchmarks will be released alongside the upcoming research paper.