abstractR

abstractR was hired by the non-profit organization CTIT, represented by their FinTech Project Manager, to automate the process of gathering and summarizing information about companies operating in the field of financial technologies. The final application developed by abstractR, hosted on the CTIT's internal server, was capable of scraping defined websites and summarizing desired information. The project was divided into two steps: creating suitable scrapers and extracting the right information from texts for display in a user-friendly UI. The CTIT representative communicated with the assigned project manager from abstractR, who then distributed tasks to their team of specialists in scraping, ML, and UX.

The investment software company, represented by its CEO, hired abstractR to develop a custom solution for their tax counting process, which was previously done manually. The solution developed by abstractR was capable of reading different reports from a selected broker in different formats, finding relevant information, performing intermediate calculations, and delivering final values for tax returns through a user-friendly interface. The project covered all parts from design to implementation, user testing, and feedback work. The CEO communicated primarily with a project manager and UI designer from abstractR's team, which also included two backend developers and a front-end developer.

abstractR was hired by the Managing Director of Quant Systems, a research and expert courses provider, to design and implement automatic pipelines for a regular ETL process. The final deliverable was a backend application hosted on an on-premise server, which managed the ETL process for other applications. The project was divided into two steps: design proposal and integration. The Managing Director communicated with three members of the abstractR team: a product manager, data engineer, and software architect.