The app includes risk evaluation tools, personalized health recommendations, and educational content to help users understand their health status. The application processes user health data to provide tailored recommendations and connects users with relevant medical information.

Combines Machine Learning and Data Analysis to help healthcare professionals understand complex health patterns and develop personalized intervention strategies by identifying individual obesity risks and suggesting tailored lifestyle
modifications.

Mobile app for matching work force and talent with supply and demand and scoring algorithm based on requested skills, work environment and conditions on the demand side and socio/demographic information, educational qualifications, skills, experience, and personalized data on the supply side.

Digital electronic platform, serving as a distribution tool for services in health care education.

Al algorithms to analyze medical images of X-rays, MRIs, and CT scans.

Process wearable devices data to monitor health parameters and detect anomalies or patterns.

Machine Learning algorithms analyzing multi-modal sensor data from diagnostic analytical tools, automatically detecting degradation patterns and predicting future deterioration in monuments and artifacts. The platform integrates advanced data visualization capabilities with automated risk assessment models, allowing conservators to make evidence-based preservation decisions through intuitive dashboards and predictive analytics.

Platform for transparent data processing and sharing, enabling researchers and the research community to publish their work with evidence-based authenticity of the data analysis performed, ensuring at the same time the accreditation of their work, following the Guiding Principles of Findability, Accessibility, Interoperability and Reusability for scientific data management and stewardship.

Sophisticated chatbot applications tailored to the specific customers’ industry needs, ensuring efficient and effective interaction with available backend services. Key features include enhanced user experience, increased efficiency by automating routine tasks, scalability to adapt to growing demands, and valuable data-driven insights to improve customer service and business operations.

Hardware device enabling real-time data acquisition from distributed field analytical instruments, supporting both online and offline operational modes across diverse cultural heritage sites.

Platform for Data Acquisition, Storage and Processing from remote edge sensors connected via a multilayered Cloud infrastructure.