Multi-Health Systems’ Computer Vision Assessment Pipeline

Multi-Health Systems’ Computer Vision Assessment Pipeline


Multi-Health Systems (MHS) is a globally recognized publisher of scientifically validated assessments, boasting over 30 years of experience in serving a diverse range of sectors including education, clinical, corporate, public safety, government, military, pharmaceutical, and research. MHS has evolved into an international entity, distributing products in more than 75 countries and offering translations in over 50 languages. Recently, MHS has focused on enhancing the digital user experience and extending its global reach.


MHS faced the challenge of modernizing their existing assessment tools, which had become outdated. The primary objective was to integrate technological innovation, specifically Artificial Intelligence (AI), into their assessment offerings. This integration aimed to initiate a new phase in their roadmap, minimize barriers for client adoption, and enhance the overall efficiency of their assessments. The goal was to leverage AI to revolutionize their assessment process, making it more streamlined and effective.


Over a period of 1.5 years, we collaborated with MHS to develop a strategic AI integration roadmap and successfully implemented several AI-based solutions. A key project involved the creation of a Computer Vision-based web application. This application was designed to instantly grade pre-existing assessments by processing images of these assessments. The solution employed advanced technologies such as:
These technologies were integrated into a scalable AI pipeline, which significantly reduced the reliance on manual grading by administrators. The impact of this solution was profound:
In summary, the collaboration with MHS led to the successful integration of AI into their assessment processes. This technological advancement not only modernized MHS’s assessment tools but also set a new standard in the efficiency and effectiveness of educational and professional assessments.