Tasks were planned and successfully completed
Machine Learning based application for documents processing
After 6 months from release, we usually ask customers about the financial results of a project to make sure we did our job well
Andersen team has spent more than 600 hours every week on the development of this solution
The application is able to process a document of 500 pages within 2 minutes, while a person would spend no less than a week.
Due to constant changes in legislation, investment funds and other financial market players incur tremendous expenses from monitoring these changes, in order to comply with all the required regulations. Lately, these kinds of expenses have increased by 45 times as it is normally based on ‘hand labor’. In order to find a software solution to this problem, the customer contacted us, and a team of experts from Andersen.
Machine Learning, Scala, C#, WC, WPF, MSSQL, ASP.NET, XAML
Engineers with wide range of technical skills participated in this project. You can study their CVs and include in your team if need
The software solution developed by Andersen’s team automates processing of all incoming documents, analyzing pages at high speed. This is achieved with the help of Artificial Intelligence and Machine Learning components implemented in the application. As a result, the customer can save a big part of the budget which would otherwise have been used to run numerous departments. Besides, the application significantly declined the share of toxic assets.
Speed optimization rate
Toxic assets share