Computer Vision – Since 2013 deep neural Network had revolutionized the image processing domain, enabling many applications. Our focus is not only achieving cutting edge results in classification, detection and recognition tasks, but also taking into consideration aspects such as computation costs and performance.
Natural Language Processing – Many modern solutions using transformer-based networks for solving various NLP tasks such as Q&A, sentiment analysis, sentence classification, and trends. In this domain, there is no algorithmic cookbook and in many cases the pipeline setup is the critical point.
Process Optimization – Some businesses are not leveraging enough the value of the underlying data they capture in their day-to-day business flows. Our objective is helping them to formulate it in a way that enables machine learning to find optimal process paths.
Improved Decision Making – Right insights help managers and decision makers to increase impact and achieve better business results. We make sure that such insights rely on well validated models.