Category: Industry collaboration

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NCC Montenegro Team Participated in the “AI Economy” Scientific Event at MASA

Podgorica, 18 June 2026 – Members of the National Competence Centre for HPC in Montenegro – NCC Montenegro participated in the scientific event “AI Economy”, held at the Montenegrin Academy of Sciences and Arts (MASA) and organized by the Department of Social Sciences, through the Committee for Economic Sciences, Demography and Anthropology.

The event brought together representatives of academia, researchers, experts and stakeholders from different sectors to discuss the impact of artificial intelligence on the economy, education, professions, business models, digital transformation, healthcare, cybersecurity and broader societal change.

The participation of the NCC Montenegro team focused on connecting the topic of the AI economy with the challenges and opportunities of small economies, the development of local digital and AI capacities, and the role of education, communication and interdisciplinary skills in the emerging technological environment. A key message was that small economies should not remain only consumers of ready-made AI solutions, but should develop their own knowledge, infrastructure, research capacity and sector-specific expertise in order to actively participate in the AI economy.

The event was also used as an opportunity to feature the activities of NCC Montenegro, the EuroCC3 project, and the possibilities offered by the European HPC ecosystem to researchers, universities, the public sector and industry in Montenegro. In this context, the importance of HPC access was highlighted for the development and testing of AI models, large-scale data processing, advanced analytics, organizational digital transformation and the development of innovative industry-oriented solutions.

The NCC Montenegro team emphasized that the application of AI in the economy is not only a technological issue, but also a matter of human, institutional and infrastructural capacity building. For this reason, NCC Montenegro activities include support for accessing HPC resources, training, consultancy, academia-industry collaboration and awareness raising on how HPC and AI can contribute to business development, research, innovation and the improvement of education.

Participation in this event represents another step in strengthening cooperation between academia, industry and the public sector, particularly in areas where AI, HPC and data-driven approaches can contribute to competitiveness, efficiency and sustainable development in Montenegro.

NCC Montenegro will continue to promote the use of European HPC resources, strengthen local capacities and support organizations in Montenegro interested in developing advanced digital, AI and data-driven solutions.

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NCC Montenegro at ICMO 2026 and Special Training Session on HPC/AI for Business Community

The National Competence Centre Montenegro (NCC Montenegro), operating within the EuroCC3 was presented at the ICMO 2026 International Conference on Management and Organization – “Sustainability by Design: Rethinking Strategy, People & Digital Futures”, held in Przno, Montenegro.

The conference brought together more than 300 participants from over 45 countries, with more than 30 keynote, invited, and editorial speakers, and a Scientific Committee comprising researchers from 46 countries, including representatives of all 27 EU member states. ICMO 2026 served as a high-level platform for the exchange of knowledge and experience between researchers, journal editors, doctoral candidates, institutional leaders, and business community representatives.

The EuroCC3 project and the activities of NCC Montenegro were presented by Stevan Čakić, member of the EuroCC3 project team, who outlined the role of the National Competence Centre Montenegro in building the national HPC and AI ecosystem, democratizing access to European supercomputing infrastructure, and supporting SMEs, academia, and public administration in adopting advanced digital technologies.

Special Training Session: HPC/AI for Business Competitiveness

As part of the conference programme, NCC Montenegro organized a dedicated special session and training titled “Exploring HPC/AI and Management: Driving Organizational Competitiveness in the Digital Era”, specifically designed for SMEs and the wider business community.

The training addressed the growing need for small and medium-sized enterprises to leverage advanced digital technologies — including High Performance Computing (HPC), Artificial Intelligence (AI), and Big Data — as strategic tools for enhancing competitiveness, operational efficiency, and data-driven decision-making. Participants were introduced to key concepts and practical applications of HPC and AI in areas such as demand forecasting, financial modelling, predictive analytics, and data-driven business models, as well as the opportunities available through EuroCC3 and the EuroHPC Joint Undertaking, which provides free access to world-class European supercomputing infrastructure and expertise — including to SMEs and startups.

A particular highlight of the training was a real-world research use case titled “How the Institutional HPC Infrastructure Turned 50,647 Policy-Document URLs into a Reproducible Country-Year Research System”, presented by researcher, Bozidar Vlacic, from the and the Católica Porto Business School & CEGE, Universidade Católica Portuguesa and University of Donja Gorica. The use case demonstrated in concrete terms the transformative power of HPC for research and business analytics: using EuroHPC supercomputing infrastructure, the research team processed over 50,000 candidate policy-document URLs, successfully downloading and converting nearly 37,000 PDFs — totalling 92.6 GB of data — into a clean, analysis-ready country-year database spanning 55 countries over the period 2007–2021. A task estimated to take nearly 30 days on a standard laptop was completed in a single overnight cluster run of under 16 hours, compressing time-to-evidence dramatically and making a previously unfeasible large-scale empirical study operationally credible. The resulting research system examined how industrial policy signals in public documents relate to national innovation capability — measured through R&D intensity, scientific publications, and resident patents — delivering directly actionable insights for both policymakers and business analysts.

This use case illustrated to the business community how HPC is not only a tool for science and engineering, but a strategic enabler for data-driven management, policy analysis, and competitive intelligence.

NCC Montenegro at ICMO2026
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EuroHPC Allocation secured resources for project “Very-High-Resolution Atmospheric Reanalysis over Montenegro”

A research proposal submitted under the EuroHPC Joint Undertaking Development Access call (EHPC-DEV-2026D06-045) has been successfully evaluated and officially approved, marking a continued commitment to HPC-driven atmospheric research in Montenegro.

The project, titled “HPC Development for Very-High-Resolution Atmospheric Reanalysis over Montenegro (1994–2008) Using the WRF-NMM Modeling System and ERA5 Reanalysis Data”, has been granted 4,000 node hours on the LUMI-C partition for a period of 12 months. This represents a continuation of the previously completed project on the LUMI HPC system, which successfully delivered very-high-resolution atmospheric simulations over Montenegro using the same modelling framework.

Lumi HPC

The research builds upon the NMM (Nonhydrostatic Mesoscale Model) dynamic core, originally developed by Prof. Zavisa Janjic, and aims to produce very-high-resolution atmospheric simulations reaching horizontal resolutions of up to 400 metres over the Montenegrin domain, driven by ERA5 reanalysis data. Building on the results and experience gained in the previous allocation, the project continues to advance ongoing research in numerical weather prediction and atmospheric modelling on state-of-the-art HPC infrastructure.

This allocation enables IHMS to further advance research in numerical weather prediction and atmospheric modelling, leveraging the capabilities of state-of-the-art HPC infrastructure, said Angel Marcev, Principal Investigator (PI) of the project, from the Institute of Hydrometeorology and Seismology of Montenegro.

The National Competence Centre (NCC) Montenegro provided support throughout the application process within the EuroHPC Joint Undertaking framework.

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CyberCo Secures Second EuroHPC AI Factory Allocation to Advance GetMoved’s AI Logistics Platform

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.

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NCC Montenegro and MAIA signed a collaboration agreement to enhance AI innovation and access to HPC

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.

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NCC Montenegro Explores Strategic Cooperation with Cybersecurity Entrepreneur Branko Dzakula and Skenify

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.

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AIHeal: Using the LUMI Supercomputer to Develop Personalized AI Models for Every Patient

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.

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