Try and test your new power plant in real conditions before you spend the money on building it!


Coordinate your marketing tactics with business strategy!


Use your existing power and process plant in the most efficient way and improve your profit!


Don't make expensive experiments with your business.

Don't make expensive experiments with your business. Use our mathematical models to improve it!


Lega d.o.o. is the company which produces mathematical models and provides energy consultancy services.



From the experience it is known that modelling is used to provide cheap testing before spending significant amount of money on a huge investment and are widely used in engineering. While designing ships or bridges, for example, engineers first make models for the purpose of testing and real ships and bridges are built when all of testings have been made and defects have been removed. Otherwise, the risk of something going wrong increases significantly.


Company Lega d.o.o. has adopted the same principle in business and our mathematical models are used in building of new new plants or using your existing plant in the most efficient way. Managers which use these mathematical models make business decisions with less risk and gain better business results.

During classical decision making process, manager needs knowledge and extensive experince in order to bring decisions on the basis of given information from the plant, documentation and information from colleagues and information networks. The results of such decisions can be seen after the decisions are implemented and results measured. Corrections and better decisions are then brought too late.


In decision making with the help of mathematical models, above-mentioned data are inserted into model which calculates the most important parameters and the consequences of possible solutions can be seen in advance. With the knowledge and experience, the manager has also expectations which help him in right decision making. For the implementation of important information, recalculations are done almost instantly and new management tasks are given right away.


Our mathematical models are used for both simulations and optimisations and the result is always related to business improvement.

According to our experience, the return of investment in mathematical models was gained in average within one to three months, in smaller plants within one year and in extreme cases of managing big business systems the value of the mathematical model was returned as soon as in the first business decision.