A young, dynamic company has developed a novel algorithm to calculate the disclosure requirement of ad hoc reports and their materiality threshold. The data is provided by ad hoc announcements, which are extracted and analyzed using innovative NLP methods. While the startup developed the necessary algorithms on the technical side, it lacked experience in front-end and back-end application development, so the novel technology could not be used due to the lack of a suitable application.
The first step was to gather, document, and analyze all the requirements that could be placed on the application. Various models were used to prototype the application. The subsequent design of the solution was developed in close collaboration and regular communication with the client to create an application that met the client's exact specifications. The developed solution ideas were refined in several iterations to finally form a clear vision of the prototype to be built.
The application was implemented using an agile Kanban system, which allowed us to respond quickly and dynamically to changing requirements while keeping the customer informed of progress. This allowed us to quickly build the entire project infrastructure and backend based on the requirements. After several months of development, the front-end was continuously refined, and with each iteration, the functionality of the application grew, allowing more features to be added over time.