Mozaika

Mozaika, The Humanizing Technologies Lab, provides research and development in the field of data science, natural interfaces (human-computer interaction), knowledge management and human insight. At Mozaika we are trying to leverage data science with natural interfaces to provide solutions tailored to human behavior, attitudes and comprehension. The company specializes in building information infrastructures that serve a variety of applications in data as a service or intelligence as a service modes. Our solutions are either human user facing or modules of larger systems.

We cover verticals like business information delivery, human resources management, cultural heritage, water management, earth observation for AI, historical archives, content mapping, research infrastructures for the humanities. Our scientific methods are geared towards hybrid approaches of mixing logical and numeric reasoning, for example semantic web and deep learning, interactivity mixing semantic search and geospatial navigation. The European Space Agency, Rittal GmbH, Infeurope S.A. count amongst our clients.

We partner with public and private organizations and Academia from Europe and North America. All projects of Mozaika have technologically an innovative edge and abide to principles of human-centric design. The team is composed of knowledge managers, software engineers, graphic designers, business analysts, promoters, business development experts.

ISME-HYDRO® is a comprehensive solution of Mozaika that offers a complete water resources management solution for monitoring of dams and rivers, based on a mix of different methods of AI and earth observation data among other things, able to improve the operational efficiency by providing ability to interact with and view all water resources management information at ones, ensures accuracy and decision making ability by correlating historic and forecast data with satellite imagery and data, gives automated forecasting of water economic data using satellite meteorological data, reduce risk through automated alerts.