Electronic Financial Applications: Analysis of data related to electronic tax applications such as e-Invoice, e-Ledger, e-Archive Invoice, studies for financial risk assessment, fraud and fraud detection.
Natural Language Processing: Solutions for human machine interaction in which semantic search systems are developed where information recovery systems are supported by natural language processing techniques such as emotion analysis, text summarization, open question answering, asset name identification.
Machine Learning / Artificial Intelligence: Solutions for decision support systems through analysis of firms' field sales and payment data, financial statement data and software development data.
Image Processing: Problems such as object recognition, object classification in image processing and computer vision fields and developing modern deep learning based solutions to such problems.
Bioinformatics: Development of workflows from raw data to variant (genetic changes seen in each person) by processing human genetic data, solutions that enable the diagnosis of disease on genetic data by making sense of variants in relation to disease by means of databases and machine learning methods.