Algorithm development
Gil Algorithms - Mathematical Algorithm Development

When developing new products, most technological companies require various mathematical methods. Because mathematical methods allow for solutions to difficult problems and tasks that may be unsolvable by standard technological methods, their successful application frequently defines the impact and the competitiveness of the product itself.

Today, there are two main approaches to utilizing mathematical methods.

Approach one. The company either hires scientists from institutes, universities and scientific laboratories or orders the required developments from the scientific institutes themselves. Scientists have flexible and fresh knowledge in the most diverse spheres but they often lack practical experience in commercial enterprises and production.

  • Result: projects are too complex and difficult to implement and are sometimes remote from reality. The process of establishing a mutual understanding between a commercial firm and a scientist may take years, which is often unacceptable in rapidly developing technological companies.

Approach two. Algorithm development is assigned to engineers working within the company. This approach is more popular and, as a rule, the engineers manage their tasks within specified deadlines. Yet, their experience with resolving mathematical problems is mostly limited to knowledge gained at university. In addition, this approach creates the effect of solutions being duplicated unknowingly at different firms. Companies applying this approach do not even suspect that, in 99% of cases, the algorithmic task set can be resolved much faster, better and more efficiently by utilizing the entire potential of modern science.

  • Result: solutions are far from optimal, and competitor firms often enter the market with products having very similar characteristics since the engineers working in these firms studied at the same university programs.

How to choose the approach to take?

Our approach to our work combines the advantages of the two approaches described above while avoiding their drawbacks. Our approach does not differ fundamentally from those noted 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. All members of our team have both expertise in successful scientific development and at least ten years’ experience working in commercial firms. Even more importantly, we have cultivated people who have devoted their lives to creative resolving of algorithmic tasks.