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SME-Data Science, ICT-Development-Health Workforce Planning and AAL Solutions

Our organisation type is:: SME

We are active in the following Technologies: Service innovation, Tertiary end-users: public sector service organizers, social security systems, insurance companies, Information technologies, data storage and processing (back end), Interfaces, software (front end), Integration, Public Health policies, Impact assessment, Business development, Project management

Applications: Health & wellness, Home care, Safety, security, privacy, Work


Solgenium was founded in 2013 as a research, service and consulting firm specialized on the healthcare domain.

Since its foundation, Solgenium has participated in several publicly funded research projects as well as initiated self-funded internal studies in the fields of digital health and ambient (active) assisted living (AAL). In particular, these included studies on future service and business models for AAL as well as on the applicability of new technologies and data-driven approaches in the health domain.
In parallel, Solgenium delivered customer projects to many healthcare organizations with a focus on data, logistics, and human resource management. This led to an innovative approach employing Bayesian statistical machine learning, ultimately yielding the analytics tool CARA. CARA supports healthcare organizations in ensuring that the right number of health professionals with the appropriate skills are in the right place at the right time to deliver the required services to the clients.


We offer

An inderdisciplinary research team with experience of many years in international and national research projects. We focus on the areas health workforce planning, e-Health, nursing/medical informatics, and data science. We offer all skills from first ideation and discovering potentials, over prototying, to market ready producs.
Beyond-state-of-the-art approaches and methods in artificial intelligence are the basis for our innovative solutions.


Execution and Methods

  • Beyond state-of-the-art methods and approaches in data science and machine learning
  • Proof-of-Concept and prototype design and development
  • Iterative and participative development
  • Testing and evaluation



  • Development of exploitation plans, business models, service development
  • Technology and knowledge transfer
  • Market ready MVP – development
  • Excelent partner network in the healthcare market and public sector
  • Planning, preparation, and execution of pilot projects with strong (secondary and tertiary) end user participation

Contact details


DI Matthias Gira


Solgenium OG
, Linz, Vienna, Graz