It is a science that deals with the design and development processes of algorithms and data sources that enable computers to learn. It is one of the sub-branches of Artificial Intelligence.

Making meaningful conclusions from data using self-learning algorithms is the added value part of this job. Analyzing large amounts of data by manpower or manual methods is very difficult, sometimes even impossible. The aim here is to make meaningful "estimations" for possible scenarios by using the data we have.

Since it was not possible to create real big data processing opportunities and models and get results with old technologies, the best way was to first "predict" valuable information with natural intelligence and make decisions by making inferences from the information. Today, it is possible to technologically process millions of data pertaining to each event, to teach it to the system, and to enable the systems to learn.

We stand by our customers in determining the usage areas of technologies, gain analysis and applying them to business processes.