The neomento team originates from an academic environment. As such we put great emphasis on scientific validity of our approach, conducting rigorous medical studies. We also aim to share the technological developments that make our approach possible with the greater academic community.

Probabilistic Idle Behaviour

To optimally simulate the behaviour of our characters we have developed a formalism for probabilistic state machines based on Markov Chains that is used to control our agents.

The preliminary version of the formalism is published in the Proceedings of 2018 IEEE Conference on Computational Intelligence in Games.


We are currently testing the first version of the neomento SAD software with our partners at the University Hospital Magdeburg. The study is planned to run Q1 2019 with a cohort of 50 patients.