Our systems are based on predictive analytics of real retrospective data via machine learning algorithms, that allows the content of our systems reflect the reality

All data science processes are automated, predictive models are updated alongside with accumulation of new data that keeps systems up to date

Our systems are equipped with simulation tools, that permits a user to get a model of target situation and estimate the realization effect before taking the real decision

We use machine learning models that allows us to interpret each forecast and figure out what factors and to what extant influenced the final value