Areas Of Expertise
Automated Machine Learning
Building a robust business solution based on machine learning is much more than just plain predictive analytics. It is a melting pot where complex data structures are analyzed and processed, data is labeled, models are trained, validated and retrained on ongoing basis, creating an optimal, customized business architecture. We engage in end-to-end delivery of an automated and adaptive machine learning solutions tailored to ensure your competitive edge.
Natural Language Processing
Numerous NLP libraries, services and model architectures available today have boosted research activities and adoption in this field. However, most of these solutions are built upon the general datasets which might not fit some specific needs or requirements. In order to solve the most demanding problems involving natural language understanding or generation, especially with proprietary and small data sets, we skillfully combine open-source tools along with machine learning techniques and modern NLP algorithms.
Computer Vision & Image Processing
On-going progress in field of Deep Learning has demonstrated enormous application potential in computer vision and image processing solutions in industries like healthcare, agriculture, environment and security. Nevertheless, training models on proprietary datasets, heavily dependent on domain-related peculiarities is always a challenge. We joyfully accept that challenge and find creative ways to represent the domain-specific part of a problem as universal computational task in order to deliver cutting-edge solutions.
Applied Mathematical Optimization
There is an opulent history of research conducted in optimization and we are definitely standing on the shoulders of giants. Recent technological advancement ensured wider adoption, putting optimization algorithms as a foundation of modern machine learning. We strive to implement these fundamental methodologies to deliver solutions to problems involving allocation, balancing, routing and scheduling.
Recommendations Engines
Research and development of various types of AI recommendation systems, whether or not we implement traditional techniques such as matrix factorization, basket analysis, ranking-based or neural network based multi-output recommendations. By taking multi-disciplinary approach and combining machine learning with behavioral informatics and socio-metrics, we deliver recommendation engines focused on personalized customer experiences.
Web Scraping
Convert websites into useful data. Gather data about global financial & stock markets, trading insights, traffic activities, shopping habits and website summaries. Engagement in all data related activities, from data research and exploration to packing obtained data in structured manner. Enhancement, transformation and augmentation of the acquired web data, and delivering insightful analytics tools available to analysts to support their inference and decision making in real time.