When developing new products, most technological companies require various mathematical methods. Because mathematical methods allow for solutions for difficult problems and tasks that may be unsolvable by standard technological methods, their successful application frequently defines the success and competitiveness of the product itself.
Today, several approaches exist to solving complex and nonroutine problems.
One approach utilizes the resources in universities, scientific research institutes, and laboratories. This approach is not very popular, partly because it is expensive, and basically because scientists, as a rule, are unaccustomed to working on practical projects given their specializations in theoretical studies.
Another more popular approach is to employ "algorithm developers" who are mathematicians, physicists, sometimes recent university graduates, and sometimes professionals with already well-established scientific careers. This approach has its restrictions, as working in an office does not give developers sufficient time for necessary theoretical research. Moreover, most talented post-graduates and scientists start to progress successfully along the administrative ladder, meaning that they cease to develop their scientific skills.
Our recommended approach to our work combines the advantages of the two approaches described above while avoiding their drawbacks. Our approach does not fundamentally differ from those above; we simply took them one step further by logically continuing and complementing the methods commonly used in today's R&D environments.
We have developed a team of algorithmic engineers that specialize exclusively in solving mathematical problems arising during the hi-tech development process.
We unite people interested in solving problems and progressing as algorithm developers - people whose ambitions lie not in the "sphere of high positions" but in the achievement of the utmost professionalism. We supply them with the most possibly favorable working conditions.
Our team develops customized mathematical algorithms employing its own technology.
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