CyberCo, a Montenegro-based technology company and owner of the GetMoved software platform IP, has been awarded EuroHPC AI Factory resources for the second time through the EuroHPC Fast Lane call, with the support from UoM team from NCC Montenegro. The newly approved allocation provides 15,000 GPU hours on LUMI-G, one of Europe’s most powerful AI supercomputing environments, supporting the continued development of GetMoved’s distributed AI-powered logistics and indoor scene understanding platform.
“Large-scale AI model fine-tuning, distributed computer vision training, volumetric object estimation and optimization of advanced indoor inventory recognition workflows from smartphone-recorded videos are the core focus of this phase of development. The project is focused on improving AI models capable of detecting household objects, estimating their dimensions, calculating approximate volume and weight, and generating logistics-ready inventory data for moving and transportation operations,” said Bojan Djakovic, Principal Investigator (PI) of the project.
The project also includes optimization of distributed GPU pipelines, multi-object tracking, embedding generation and large-scale video processing workflows using EuroHPC infrastructure.
This new allocation represents another important milestone for CyberCo and GetMoved as the company continues building scalable AI technologies for logistics, mobility and intelligent inventory automation.
NCC Montenegro and MAIA – Montenegrin AI Association have signed a cooperation agreement to accelerate AI development and high-performance computing adoption in Montenegro. The agreement was signed by doc. dr Sandra Tinaj, a member of the NCC Montenegro team, and Milutim Pavićević, Executive Director of the Montenegrin Association for Artificial Intelligence – MAIA.
Partnership for AI Training, Industry Support, and Institutional Collaboration
MAIA, an NGO founded in September 2022 that connects researchers, engineers and AI enthusiasts, promotes AI, advances digital transformation and fosters collaboration among academia, industry and policymakers. Partnering with NCC Montenegro — the national hub providing access to European supercomputing infrastructure and HPC/AI technical support — the agreement establishes a framework for joint programs that will drive research, innovation and commercialization of AI solutions nationwide.
Looking forward to continuing and expanding the collaboration
The cooperation will concentrate on Training and skills development (delivering trainings, workshops and professional development programs in AI, Service and Interaction with Industry – offering consultancy, knowledge transfer and joint industry projects leveraging HPC and AI resources and Service to and Interaction with Academia and Public Administration – collaborating with universities and public administration to implement AI solutions in education, public services and policy). By leveraging EuroHPC access and parallel computing expertise, the partnership will enable intensive AI-driven workloads, support industry pilot projects, uses – cases and build specialized capacity to help Montenegrin innovations become globally competitive.
The NCC Montenegro recently hosted a collaborative meeting with Branko Dzakula, a prominent cybersecurity expert and serial tech entrepreneur. As NCC Montenegro accelerates the adoption of AI and supercomputing across the region, this meeting served as a strategic platform to explore how next-generation computational power can elevate enterprise security.
NCC meets Branko Dzakula: HPC+AI+Cybersecurity = Fast, Smart, and Secure.
Mr. Branko Dzakula brings an exceptional track record of scaling high-growth tech companies that bridge advanced automation, cybersecurity, and AI compliance. He is the Co-founder of Secfix, a highly successful Germany-based compliance automation platform that recently secured a major $12 million Series A funding round (bringing its total investment to over $17 million), to support its rapidly expanding global client base. His startup portfolio also features impactful Montenegrin-founded ventures, including Skenify, a specialized AI-backed vulnerability management SaaS tailored for the SME sector, and UN1QUELY, a premier regional cybersecurity consulting firm and professional academy. Recognized as a Top 3% global talent (Toptal network), Mr. Dzakula holds top-tier international credentials (CISSP, CISM) and maintains active leadership in IEEE and ISACA. His ventures represent the pinnacle of commercial success and technical expertise, proving that Montenegrin-led innovation can significantly impact highly competitive European markets.
NCC Montenegro serves as a national gateway to the European supercomputing ecosystem, providing Cloud HPC assessments (over 100), HPC/AI technical consultations (over 50), and EuroHPC access/deployment (15+ companies and institutions), successfully supporting advanced R&D and AI scaling. By providing free access to GPU/CPU hours on world-class EuroHPC supercomputers like LUMI and Leonardo (resources otherwise cost-prohibitive for local firms), the NCC has accelerated innovation for MNE companies, across a wide array of sectors, including: FinTech (Uhura Solutions, PAID MNE), HealthTech (ONE AI), AdTech & Digital integrity (Coinis), Cybersecurity & Safety (DeepMark, CyberCo), HR-Tech (Recrewty, Digital Smart), Industry 4.0 & Green AI (FainTech), Climate Tech (IHMS), XAI (ETF), etc. With a robust educational portfolio of over 40 HPC/AI training sessions and industry workshops in 2025 alone, the NCC has become the primary catalyst for the nation’s HPC/AI talent pool and digital competitiveness.
The dialogue highlighted potential use-cases in the R&D phase, specifically anchoring advanced cybersecurity operations onto HPC infrastructure, as well as establishing a training framework for specialized capacity building. Through this collaboration, NCC Montenegro leverages its parallel computing expertise and EuroHPC infrastructure to secure intensive AI-driven workloads and advanced cybersecurity workflows. By bridging the gap between high-end expertise and exascale resources, this collaboration aims to support Montenegrin innovations becoming globally competitive, ethically sound, and cyber-resilient.
The Montenegrin company ONEAI has successfully carried out a project on the EuroHPC infrastructure, utilizing the LUMI-G supercomputer to develop advanced AI models in the field of ECG signal analysis. Following the successful completion of the previous cycle, the AIHeal project has been granted renewed access to computational resources for the upcoming period.
During the previous project, the team developed a dynamic HPC pipeline that enables training personalized models for each individual patient, with the capability for continuous retraining based on new data. The key innovation lies in establishing an integrated system that connects the existing infrastructure with the supercomputer:
data is automatically collected from the AIHeal system,
sent to the LUMI supercomputer for training,
after processing, the models are returned to the production environment and registered in the MLflow system.
This approach enables the creation of “digital twin” patient models, where each model is tailored to the specific characteristics of the individual, significantly improving anomaly detection accuracy compared to generic models.
By leveraging the LUMI infrastructure, the AIHeal team achieved significant acceleration in the model training process, particularly through parallelization across multiple GPU units and the execution of a large number of experiments simultaneously. This enabled faster identification of optimal models and improved the overall quality of the solution.
The project results confirm that HPC resources play a crucial role in the development of scalable and personalized AI systems in healthcare, especially in the context of real-time biomedical data analysis.
AIHeal
The newly approved access to EuroHPC resources will be used for further model improvement, performance optimization, and expansion of the system to cover a broader range of cardiovascular and other health-related indications.
The AI-AGE project was presented at the round table “Artificial Intelligence in Healthcare – Challenges and Opportunities”, held on 24 April 2026 at the Montenegrin Academy of Sciences and Arts (CANU) in Podgorica. The event gathered experts from Montenegro and Bosnia and Herzegovina to discuss the role of AI in healthcare, including clinical applications, digital transformation, ethics, medical imaging, NLP, and AI assistants. We used this opportunity to promote the EuroCC4SEE and NCC Monteengro activity.
The round table was an opportunity to promote EuroCC 2 & EuroCC4SEE and NCC Montenegro support
AI-AGE was presented by Prof. Dr Nataša Popović, Faculty of Medicine, University of Montenegro, in the session dedicated to AI in clinical practice. The presentation highlighted key findings of the project and demonstrated how AI can support early detection and screening of chronic diseases, including examples related to colorectal cancer detection and the use of biomarkers.
The main presentation was focused on AI-AGE goals and results (cross-project collaboration)
The event was also an opportunity to promote EuroCC activities and the role of NCC Montenegro in strengthening national capacities in HPC, HPDA, and AI. Participation in this round table further positioned AI-AGE within the broader regional discussion on responsible and clinically relevant use of artificial intelligence in medicine.
On the occasion of IoT Day 2026, an online seminar titled “IoT, AI, HPC: Shaping the Future” will bring together technologies that are redefining modern digital infrastructure. The event will focus on the practical application of Internet of Things (IoT), Artificial Intelligence (AI) and High-Performance Computing (HPC) in the development of modern digital systems.
During the seminar, experts from DunavNET, DigitalSmart Montenegro, the University of Donja Gorica, and Recrewty will present the projects and solutions they are currently working on, with a special emphasis on real-world applications of these technologies and their importance for digital transformation.
The speakers include: Nebojša Stojanović, Petar Knežević, Dejan Drajić, Anja Jakovljević, Stevan Čakić, Igor Ćulafić, and Mitar Perović.
📅 April 24, 2026 🕙 10:00–11:30 AM 📍 Online seminar Organized by: EuroCC 2 & EuroCC4SEE, University of Donja Gorica, and DunavNET
The event is open to researchers, engineers, developers, and everyone interested in current trends and practical applications of IoT, AI, and HPC.
Within the EuroCC initiative, this project demonstrates how High Performance Computing (HPC) enables a new approach to analysing industrial policy through large-scale text data.
Modern innovation policies are increasingly embedded in strategies, reports, and policy documents. This project treats those documents as data, transforming them into measurable indicators that can be linked to national innovation performance.
From Raw Data to Analytical Insights -The study started with over 50,000 policy documents and processed more than 36,000 clean texts, resulting in a structured dataset of 825 country-year observations across 55 countries (2007–2021).
Overview of data
Using Natural Language Processing (NLP), the project extracts key policy signals, including:
policy attention (how much a topic is discussed)
policy orientation (whether it is framed positively or negatively)
These signals allow policy discourse to be analyzed quantitatively and linked to innovation outcomes.
HPC infrastructure was essential for executing the full pipeline.
The complete workflow was finished in approximately 16 hours, while the same process on a standard laptop would take several weeks.
This enabled large-scale data processing, rapid iteration of models, and robust cross-country analysis.
Results summary
The results show that industrial policy does not have a uniform effect on innovation. Instead, its impact depends on both the type of policy and how it is communicated.
Key insights include:
different policy categories influence innovation outcomes differently
scientific publications respond faster than patents or R&D investment
text-based policy signals can serve as early indicators of changes in innovation environments
Impact – This project highlights how HPC enables:
transformation of unstructured text into analytical datasets
integration of policy analysis with economic outcomes
development of new tools for monitoring innovation systems
It also demonstrates the value of policy documents as a strategic data source for researchers, firms, and policymakers.
