Case Studies

The client needs a facial recognition system that works fast, accurately matches faces in real-time, and handles different image sizes well. We’ll use smart tech like deep learning to make sure it’s accurate and processes images quickly. The system will be set up to handle a lot of data and adjust to changing needs easily. It’ll also be able to recognize faces in images of different qualities. Overall, the client wants a practical, efficient solution for their facial recognition needs.

Pure Lab, a leading network within the Pure Health Group, sought an integrated solution to optimize its diagnostic workflow by connecting Pure CS, the group’s comprehensive laboratory information system (LIS), with its network of laboratories. We developed and implemented a seamless integration solution that enhanced data flow, ensured accuracy, and improved operational efficiency.

The client required a platform for uploading and analyzing multiple financial documents, including private ones, efficiently. In response, we developed a user-friendly solution that automates document analysis, identifies content relevance, and maps relationships between documents. This streamlined process provides comprehensive reports and actionable insights, enhancing data security, streamlining document management, and enabling data-driven decision-making.