The easyKost algorithms and expert systems were designed and validated by statistics Ph.Ds.
with the best data mining and predictive analytics technologies.

Of these technologies, easyKost uses the R language,
which in a few years has become the statistics, data mining and predictive analytics reference.

In order to ensure the most optimal result possible, some calculations, like cost estimates, are based on a concurrent model concept that makes it possible to adapt the best algorithm to the data processed and use the second model
to validate the result of the first model.

easyKost was developed entirely based on proven technologies adapted to SaaS applications from its conception.
Thus, the software is fully optimized and guarantees identical access times to those of a desktop application
while benefiting from the numerous advantages and flexibility of the SaaS mode.

The user interface was designed by ergonomic experts to offer an intuitive, easy to use application that is therefore operational immediately, minimizing its learning curve to the maximum extent possible.

The flat design of the interface makes it possible to bring together modernity, intuitiveness and aesthetic
to provide more clarity and ease of use.