How RIT Croatia Drives Artificial Intelligence Innovation in the Blue Economy via AI4BLUE

How RIT Croatia Drives Artificial Intelligence Innovation in the Blue Economy via AI4BLUE

The intersection of technology and marine sustainability is entering a new phase of development. RIT Croatia has officially joined the AI4BLUE project, a cross-border initiative designed to integrate artificial intelligence into the Blue Economy. With a total budget of €1.38 million, this Interreg Italy–Croatia project represents a structured, practical approach to helping businesses adopt advanced technologies. Running from August 2026 to January 2029, AI4BLUE focuses on building open-source, multilingual AI tools tailored for industries that rely on the sea.

For students, tech professionals, and business owners in Croatia and the surrounding region, this initiative highlights a clear trend: artificial intelligence is moving from theoretical research into applied, sector-specific solutions. Explore our related articles for further reading on how regional academic institutions are partnering with industries to solve complex logistical and environmental challenges.

Understanding the AI4BLUE Cross-Border Initiative in Croatia

AI4BLUE, formally known as Cross-border AI Services for Innovation in the Blue Economy, is funded under the Interreg Italy–Croatia program. The primary goal is to strengthen innovation capacity and increase the uptake of advanced technologies among small and medium-sized enterprises (SMEs) operating in the Adriatic region. Rather than building proprietary software for individual companies, the consortium is developing a shared, open-source AI platform based on Large Language Models (LLMs).

This platform is specifically engineered to support both cloud-based and offline deployment. Offline capabilities are particularly critical for marine environments, where internet connectivity can be unreliable on vessels or in remote coastal areas. By ensuring the technology works regardless of network status, the project increases accessibility for diverse business environments.

The project consortium brings together a mix of research institutions, universities, and business support organizations. Led by CNA Abruzzo in Italy, the partnership includes CEDRA Split, the University of Bologna, the University of Split Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), the University of Udine, and RIT Croatia. This cross-border collaboration ensures that the developed tools account for the regulatory, linguistic, and operational differences between Italian and Croatian markets.

Target Sectors for Artificial Intelligence in the Blue Economy

The Blue Economy encompasses all economic activities related to oceans, seas, and coasts. AI4BLUE targets specific high-impact sectors where artificial intelligence can solve immediate operational bottlenecks.

Aquaculture and Marine Environmental Monitoring

In aquaculture, businesses face challenges related to water quality, fish health, and feeding optimization. Artificial intelligence can analyze sensor data in real time to predict environmental changes that could harm fish stocks. For marine environmental monitoring, AI tools can process vast amounts of data from satellite imagery and underwater drones to track pollution, map seabed habitats, and ensure compliance with environmental regulations. By applying AI to these areas, companies can reduce waste and improve sustainable farming practices.

Coastal Tourism and Port Logistics

Coastal tourism is a major economic driver in Croatia. AI applications in this sector include analyzing booking patterns to forecast tourist surges, optimizing pricing strategies, and personalizing visitor experiences. In port logistics, artificial intelligence can streamline the movement of cargo, optimize docking schedules, and predict maintenance needs for port infrastructure. Reducing idle times for ships and optimizing cargo handling directly translates to lower fuel consumption and reduced emissions.

Renewable Marine Industries

As the demand for clean energy grows, offshore wind farms and wave energy converters are becoming more prevalent. Artificial intelligence plays a vital role in predicting energy output based on weather patterns, optimizing the placement of turbines, and performing predictive maintenance on equipment exposed to harsh marine conditions. AI4BLUE aims to provide SMEs in this emerging sector with the analytical tools necessary to compete with larger energy conglomerates.

RIT Croatia’s Role in AI Ethics and Cybersecurity

While developing functional AI tools is the primary objective of AI4BLUE, ensuring these tools are secure and ethically sound is equally important. RIT Croatia will lead the project’s efforts in AI ethics, cybersecurity, and regulatory compliance. This responsibility falls to a dedicated team comprising Dr. Martin Žagar, Dr. Branko Mihaljević, and Alan Mutka.

Implementing artificial intelligence in critical infrastructure like ports or environmental monitoring systems introduces significant security risks. Open-weight AI agents, if not properly secured, can be vulnerable to data poisoning, prompt injection attacks, or unauthorized data extraction. RIT Croatia’s cybersecurity experts will work to integrate robust security protocols into the platform’s architecture, ensuring that business data remains protected whether the AI is running on a cloud server or an offline laptop on a fishing boat.

Furthermore, the ethical deployment of AI requires transparency in how models make decisions, particularly when those decisions affect environmental reporting or regulatory compliance. RIT Croatia will help establish guidelines to prevent algorithmic bias and ensure the AI agents provide accurate, verifiable information. Schedule a free consultation to learn more about how academic institutions are addressing the cybersecurity challenges of modern AI implementations.

Developing Specialized AI Agents for Regional SMEs

The core deliverable of the AI4BLUE project is the development of seven specialized AI agents. These are not general-purpose chatbots; they are highly focused tools designed to execute specific tasks relevant to the Blue Economy. The seven agents include:

  • Regulatory Compliance: Assists businesses in navigating complex maritime laws and environmental regulations in both Italy and Croatia.
  • Multilingual Communication: Breaks down language barriers for cross-border trade and tourism by providing accurate, context-aware translations.
  • Sustainability Planning: Helps companies track their carbon footprint and implement sustainable practices aligned with EU environmental standards.
  • Market Intelligence: Analyzes market trends, pricing fluctuations, and competitor activity to provide actionable business insights.
  • Tourism Forecasting: Uses historical data and current event schedules to predict tourist volumes, helping coastal businesses allocate resources efficiently.
  • Corrosion Detection: Processes visual data from inspections to identify and predict corrosion on ships, docks, and offshore equipment.
  • Technical Assistance: Provides immediate, context-aware support for engineers and technicians repairing complex marine equipment.

These solutions will not remain in a laboratory. The project mandates testing and validation through pilot activities involving at least 30 SMEs from Croatia and Italy. This practical testing phase ensures the tools are refined based on real-world feedback before being made widely available. Have questions? Write to us! to discuss how specialized AI agents can be integrated into your business operations.

Establishing AI Learning Labs in Croatia

Beyond technological development, AI4BLUE has a strong educational component. RIT Croatia will support the organization of Croatian AI Learning Labs. These labs are designed to bring together students, researchers, and business professionals to explore practical applications of artificial intelligence.

For students, the Learning Labs offer a chance to work directly with Large Language Models and apply their academic knowledge to actual business problems. Instead of only studying AI theory in a classroom, participants will engage with the seven AI agents, test them against real data sets, and observe how businesses interact with the technology. This experiential learning approach bridges the gap between university curricula and industry demands.

For businesses, the labs serve as a low-pressure environment to evaluate new technologies. SME owners can bring their operational challenges to the lab and work alongside RIT Croatia faculty and students to see if AI can provide a viable solution. This direct interaction fosters a cross-border research and innovation network that will outlast the project’s official timeline in January 2029.

The Future of AI Adoption for Croatian and Italian Businesses

The AI4BLUE project illustrates a pragmatic path forward for AI adoption in traditional industries. Rather than expecting SMEs to hire teams of data scientists, the project delivers pre-trained, sector-specific tools that can be adopted with minimal technical overhead. By focusing on an open-source framework, the consortium ensures that businesses are not locked into expensive proprietary ecosystems.

As artificial intelligence continues to evolve, the collaboration between Italian and Croatian institutions sets a precedent for how regional funding can be used to address shared economic challenges. The focus on offline deployment, multilingual support, and strict ethical guidelines demonstrates a mature approach to AI integration—one that prioritizes utility, security, and accessibility.

RIT Croatia’s involvement in AI4BLUE reinforces its commitment to applied research and student-centered learning. By contributing expertise in cybersecurity and ethics, the institution ensures that the future of the Blue Economy is not only technologically advanced but also secure and responsibly managed. Submit your application today if you are interested in studying at the intersection of technology, business, and applied research at RIT Croatia.

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