Applied Research
We conduct applied research with a clear goal: to develop solutions that directly address the needs of the market, users, or technological advancement.
Depending on their purpose, we classify them into three key types, representing different development approaches — from solving specific challenges to strategically testing new concepts.
We integrate distributed data into models for relationship discovery and event prediction. Application areas include industry (optimization, failures, bottlenecks), finance (fraud, risk), healthcare (biomarkers, diagnostics), logistics (disruptions, routing, inventory), agriculture (yield, risk, resources), and commerce (recommendations, conversions, pricing).
We develop solutions for rapid, accurate, on-site detection of pathogens in key areas: animal health (pathogens in cattle, poultry, pig farming, companion animals, and aquaculture), plant diagnostics (bacterial, viral, and fungal pathogens), food safety (testing of raw materials and food products), and environmental testing (contaminants in water, soil, and other environments).
Connected Data Analytics
Transforming fragmented data into actionable intelligence
Today’s companies generate vast amounts of data — yet more than 70% of its potential value remains untapped because data is not interconnected. This is where connected data analytics comes in: an approach that logically links data, enriches it with context, and uncovers patterns that traditional models fail to detect.
By leveraging advanced artificial intelligence technologies for connected data analysis (GNN – Graph Neural Networks), we enable faster decision-making, more accurate predictions, and higher operational efficiency across a wide range of sectors, including manufacturing, finance, healthcare, logistics, and more.
Solutions We Provide
Business Use Cases
Key Benefits of GNN Technology
- 20–40% more accurate predictions (Because the model understands relationships, not just isolated numbers.)
- Faster, context-aware decision-making (We no longer analyze individual data points, but the system as a whole.)
- Reduced risk and fewer errors
(Enables detection of anomalies and deviations before they occur.) - Adaptive, self-learning solutions
(The model continuously improves as new data and conditions emerge.)
Pomurje Technology Park d.o.o.
R&D Department
Plese 9a, 9000 Murska Sobota
Slovenia/EU
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Advanced Molecular Diagnostics
Development of a diagnostic kit for rapid, accurate, and cost-effective pathogen detection
The health of animals, plants, food, and the environment is directly dependent on how quickly pathogens can be detected. Traditional methods such as RT-PCR are highly accurate, but they are slow, costly, and complex to deploy. In practice, this leads to delays, reduced crop protection, increased risks to animal health, and greater challenges in ensuring food safety.
The molecular diagnostic solution we are developing for a specific pathogen (virus, bacterium, etc.) delivers test results within just 45 minutes.
Solutions We Provide
Business Use Cases
Pomurje Technology Park d.o.o.
R&D Department
Plese 9a, 9000 Murska Sobota
Slovenia/EU