To date, free services provide only fragmentary data on legal entities. In order to comprehensively study a company and the possible risks of cooperation with it, it is necessary to collect data from at least 12 open sources, and then compare the information received, determine which indicators are key for this legal entity and draw conclusions based on the above. Unfortunately, in practice, working with free services can take several hours of work for company employees and does not guarantee the correctness of the conclusions drawn.

Full-fledged counterparty check involves the study of all areas of the company's activity, the analysis is not limited only to financial indicators. As a rule, a accountant, first of all, analyses the financial data familiar to them and often does not take into account the importance of indicators that do not deal with on a daily basis. To prepare a qualitative analysis, an accountant will need the help of corporate and litigation lawyers, as well as analysts specializing in overdue accounts receivable. Otherwise, an individual employee's mistake can cost the company's future.

We also do not believe that artificial intelligence can independently build services from scratch. We have gone through an evolutionary path from manually checking counterparties for the purposes of our business to building algorithms that cope with the task no worse than experienced analysts and lawyers. We regularly test the service and often involve external experts to obtain an independent assessment. Thus, we conducted joint testing with the National Credit Rating (NCR) agency (RBC media holding) and the precision of the service was highly appreciated by the agency's analysts and methodologists with experience in Russian and international rating agencies, as well as major banks.