About
Medius is a UN-awarded company specializing in the development of complex software and artificial intelligence models tailored to the needs of our clients. As a recognized technology partner, we help companies achieve higher business impact by introducing innovative, modern, data-driven technologies.
Our focus is on solutions that cannot be bought on the market – we create them individually for each client.
Medius is also locally recognized with the prestigious GoDigital 2023 award for the best digital/AI project, FrodoAI, presented by the Chamber of Commerce and Industry of Slovenia. In 2024, Deloitte recognized Medius as the winner of the prestigious “Deloitte Top 50 Tech Companies of Central Europe – Impact Stars category” in Slovenia, proving that Medius is a leader in software solutions that create a positive impact on society and the environment.
Since 2002, we have successfully delivered more than 350 data-driven projects across various industries and proudly maintain a 100% client return rate. We provide our services to customers in nine sectors, including manufacturing, pharmaceuticals, transportation, telecommunications, energy, insurance, and more. Among our clients are internationally recognized companies such as Volvo Group, SKF, Novartis, and Hisense. We help every customer leverage data to gain a competitive edge.
Known for our boldness and innovation, Medius specializes in building machine-learning and AI-based big data platforms, as well as SaaS and PaaS solutions that address complex industrial data challenges. We excel in solving demanding use cases and translating applied science into complex industrial business environments. Our commitment to research and development ensures that we remain at the technological forefront and continue to introduce innovations in delivering advanced solutions.
In development, we apply machine learning concepts and methodologies, open APIs, data streams, semantic data interoperability, data lakes, as well as CI/CD, containerization, and cloud application orchestration. A special advantage of our development is that machine learning is an integral part of the applied solutions, and that the architecture and development methodology of machine learning is built on a proven, production-tested platform composed of the world’s best open-source technologies.
This approach provides clients and project teams with a “head start” and immediate focus on use-case analysis, data consolidation and verification, feature engineering, and machine-learning model development—rather than on choosing technologies or searching for suitable ML solutions for a given problem.