Explore the selection of our case studies in the areas of Artificial Intelligence and HPC. To find out more, contact us directly. In every project we deliver, we combine some of the coolest and cutting edge machine and deep learning techniques to solve real-world problems and meet our client’s needs. Besides AI, we bring huge experience in porting, developing and optimizing software applications for innovative, massively parallel supercomputing platforms.

The philosophy of the company has been built around the model where we strive to benefit from the latest & greatest research results in the universities while injecting them straight into the business world. Thus we have PhD experts on our team who continue researches seeking solutions to emerging problems and constantly work on finding new applications of machine and deep learning. They also do pioneering work on advanced methods for parallel software design by creating new methods for code and performance portability across wide range of computational platforms. Our team members develop self-adaptable codes to computing platforms (auto-tuning) and are authors of numerous and widely cited research studies.

The unique combination of world-class researchers and highly-qualified, fast-learning engineering teams helps us bring true innovations to the market. Thus we are able to help our clients build new products and explore innovative business concepts that weren’t previously possible.

Selection of our case studies:

On-device AI and Computer Vision

• Traffic Analytics (AI on Edge, Cloud)
• AI on the Edge devices (Retail application)
• AI Powered Face Analytics
• Image Classification using Deep Learning

Machine Learning

• Bringing Cognitive Automation & Robotic Process Automation (RPA) to Enterprise Systems (ongoing)
• Optimized HPC Application (based on concluded research studies)
• AI powered software auto-tuning for supercomputers (research concluded)
• Machine Learning to optimize HPC Application (research ongoing)
• AI powered Predictive Maintenance (Manufacturing, Time Series Data Analytics) (research concluded)