Pcmedic, trademark of “Higher Functions, Lda.”, is a Portuguese company founded in 2001. It excels in the technical support to the end user of the information technology systems, be that in residential or corporate context.
With a team of over 200 specialised technicians, the company provides a technical support that is smart, personalised and efficient 24 hours a day, 7 days a week all over the country. This support service attends, on average, more than 2000 requests for support per month.
The company’s activities are based on state-of-the-art technological solutions developed internally. This has gained a leading position in the market, and this unique competitive advantage has allowed to identify the limitations placed by the technology as well as the way of surpassing them in an innovative way, taking advantage of its evolution.
Faculty of Sciences of the University of Lisbon
FCUL is one of the largest and most prestigious scientific research faculties in multiple domains, including Computer Engineering and Computer Science, and participates in the project through the Natural Language and Speaking Group (NLX) and through the Multimedia Research Group and Human Machine Interaction (HCIM ), both from the Informatics Department.
The NLX Group carries on research and development in the field of artificial intelligence and cognitive science, with a special focus on interaction in natural language, and it stands out as the most important national research group in the field of natural language technologies. This group developed a range of tools and reference datasets for natural language processing (lxcenter.di.fc.ul.pt), having participated and / or coordinated dozens of national and European projects. Among these projects, the European project QTLeap (FP7) is particularly relevant as it was coordinated by the head of this group and HF was one of the member of the consortium.
The HCIM Group addresses a wide range of research topics in the area of human-machine interaction and information systems. The domains of applied R&D include the analysis and design of organizational information systems, biomedical informatics, risk analysis and management, e-Health, e-Inclusion, digital content and e-Learning.