Success Stories

From EuroCC-2

The EuroCC2 team collaborated with the company EMBIO Diagnostics in advancing air quality interpretability, monitoring and analysis. The goal of the project was to consult EMBIO Diagnostics in developing a comprehensive solution encompassing a web-based visualization tool for floorplan annotation, advanced measurement prediction techniques, and innovative anomaly detection methods in air quality data.

The EuroCC2 team collaborated with the company AskWire in a project to successfully tackle the challenge of analysing auction-related PDF files. AskWire is a company that empowers businesses and consumers to make informed real estate decisions through comprehensive property profiles, data analytics services, and bespoke solutions.

Consultation with CaSToRC

MantisNLP collaborated with The Cyprus Institute’s Computational Sciences and Technology Research Center (CaSToRC) to overcome challenges in developing a Large Language Model (LLM) with limited data, such as a Greek-Cypriot LLM. This ambitious project aimed to create an LLM capable of understanding and generating Greek-Cypriot dialect text. CaSToRC provided a comprehensive literature review on data reduction and augmentation techniques, crucial for training the LLM with the limited Greek-Cypriot data available. The successful consultation led to innovative strategies for augmenting the dataset and efficiently training the LLM, marking a significant advancement in natural language processing for underrepresented languages.

CaSToRC's Consultation

CaSToRC, The Cyprus Institute’s Computational Sciences and Technology Research Center, recently completed a ground-breaking consultation for MoodHood/CourseBoost, focusing on enhancing their customizable video conferencing engine. This consultation aimed to assist MoodHood in integrating Generative AI technologies to boost student engagement in virtual learning environments. Through expert-led workshops and in-depth technical analysis, CaSToRC provided MoodHood/CourseBoost with innovative strategies to incorporate AI-driven features in their platform.  

Appteum Limited
EuroCC2 Project Consultation

The Cyprus Institute’s Computational Sciences and Technology Research Center (CaSToRC) achieved a significant milestone in the EuroCC2 project by successfully consulting Appteum Limited on integrating Vector Databases with Large Language Models (LLMs). This collaboration included a comprehensive brainstorming workshop and the development of an extensive report addressing technicalities, benefits, and implementation strategies of LLMs. The project culminated in expert recommendations for selecting appropriate models like GPT and BERT based on specific tasks, paving the way for innovative product enhancements at Appteum Limited. 

The Agricultural Research Institute (ARI) aimed to adapt a computational pipeline to High-Performance Computing (HPC) to enhance agricultural research. The initial focus was on the feasibility of installing the RStudio Server on the CYCLONE HPC infrastructure, taking cues from successful setups at Princeton University and Iowa State University. The goal was to harness RStudio’s statistical computing alongside CYCLONE’s computational resources for managing extensive agricultural datasets. Upon confirming the feasibility, the next step was adapting the computational pipeline for HPC. This involved detailed planning and execution to ensure the seamless integration and utilization of HPC resources. The objective was to establish a scalable, efficient, and robust pipeline to manage diverse datasets crucial for modern agriculture.


We were privileged to provide strategic guidance to C.B.B.Lifeline Biotech Ltd, with a central focus on capitalizing on High-Performance Computing (HPC) for advanced biological data analysis. This evolving field produces copious amounts of complex information, demanding effective computation methods for thorough interpretation and study.

Our advisory journey began by familiarizing the firm with procedures for managing this complex biological data. We highlighted the necessity for scalable strategies, emphasizing the advantages of implementing parallel computing techniques and systems based on data decomposition to process extensive datasets efficiently.

Due to its geographical position in the eastern Mediterranean Sea basin, Cyprus, a global biodiversity hotspot, is directly threatened by climate change and desertification. The country also has Europe’s second-highest population growth rate, emphasizing the need to optimize primary production strategies. These strategies aim to ensure food security and minimize environmental impact cost-effectively and timely. Given the population growth and the recent registration of locally produced cheese (Halloumi) as a Protected Designation of Origin, the demand for goat and sheep milk is expected to surge dramatically. Current milk production scenarios suggest that the goat and sheep livestock population should double (from ~500k to 1000k) to meet the anticipated needs. An alternative approach to meet this demand could be to enhance the existing livestock using genetic data and modelling.

The EuroCC team has collaborated with the Department of Psychology and Neuroscience at the University of Cyprus (UCY), to develop the first multimodal machine learning models for the prediction of Alexithymia in literature.