Ireland’s Centre For AI
Projects
As Ireland’s centre for AI, CeADAR has worked on numerous projects across multiple industry verticals and company types – from start-ups, spin outs, SMEs to MNCs. In addition, CeADAR has a successful track record of securing funding for applied research projects both here in Ireland and across Europe. These EU projects are focused on working in collaboration with technical research and academic partners as well as industry partners.
# Active Projects
# Project Value (€M)
# Company Engagements 2024
Industry Projects
EU Funded Projects
Internal Research
Industry Projects
EU Funded Projects
Internal Research
Industry Projects
NLP & ServiceBot Enhancements
Technical Advice for Customs Declaration Platform
AI Technology and Architecture for Website Development Tool
AI for Radiology Anomaly Detection
Recommender System for Integrated Travel Platform
Online Retail – Product Categorisation
CAMEO – Online Platform of Earth Observation Data
AI for Video Content Analysis
AI to Predict the Best Diagnostic Test
Computer Vision on Invoices
PERCEPTION: AI for Food Manufacturing
NLP & ServiceBot Enhancements
Technical Advice for Customs Declaration Platform
AI Technology and Architecture for Website Development Tool
AI for Radiology Anomaly Detection
Recommender System for Integrated Travel Platform
Online Retail – Product Categorisation
CAMEO – Online Platform of Earth Observation Data
AI for Video Content Analysis
AI to Predict the Best Diagnostic Test
EU Funded Projects
CeADAR has a proven track record in securing EU funding to work on, and deliver projects, in exciting and progressive areas of Artificial Intelligence research. Over the last few years CeADAR has been awarded over €10M in funding to work on 17 projects including our active EDIH programme (link to programme) which supports SMEs and public sector organisation.Â
CeADAR is leading this €8.7m EU project (18 partners) that seeks to make AI more trustworthy and energy efficient.
MANOLO’s overarching vision is to deliver a comprehensive and trustworthy stack of algorithms and tools that help AI systems achieve greater efficiency and seamless optimization. By enhancing operations, resources, and data, it enables the training, deployment, and running of high-quality, lighter AI models across both centralized and cloud-edge distributed environments.
This project has 21 partners from both industry and academia across Europe including SSE Airtricity.
ICOS is focused on advancing computing systems architecture to meet the demands of data-intensive applications in edge and cloud environments. By enhancing performance, scalability, and efficiency, ICOS aims to enable seamless integration and operation of complex computational tasks, ensuring modern applications function optimally across diverse computing landscapes.
This project consortium is made of 16 partners from 9 countries from across the European continent.
UPCAST supports the deployment of Common European data spaces by consolidating and acting upon mature research in data management, privacy, monetisation, exchange, and automated negotiation. It considers environmental efficiency and ensures compliance with EU and national initiatives, AI regulations, and ethical procedures, promoting sustainable and lawful data practices.
This project is being delivered by 13 partners including CeADAR and the University of Galway.Â
ADT4Blue aims to advance the Blue Economy by supporting, promoting, and encouraging the adoption of Advanced Digital Technologies—such as Artificial Intelligence, Blockchain, and IoT—among students, alumni, and early-stage entrepreneurs. By fostering innovation and technological adoption, the project seeks to stimulate growth, sustainability, and competitiveness in maritime sectors through technology-driven solutions.
This project includes 24 parties from a varied selection of industry, research and academia.
CyclOps focuses on big data, aiming to provide interoperable, trustworthy, and secure automatic management, governance, and maintenance of the entire data lifecycle. It handles large-scale volumes of data generated from heterogeneous, distributed sources to enable data sharing and exchange in data spaces, enhancing efficiency and collaboration across various sectors and industries.
This project is made up of 11 partners including academic, technical and healthcare groups.
2D-BioPAD aims to introduce a fast, cost-effective, non-invasive, reliable, digitally and graphene-enabled Point-of-Care (PoC) in-vitro diagnostics (IVD) system. This innovative solution supports early diagnosis and progression monitoring of Alzheimer’s Disease (AD) directly at primary healthcare settings, enhancing patient care and enabling timely interventions for better health outcomes in the community.
EU Funded Projects
CeADAR has a proven track record in securing EU funding to work on, and deliver projects, in exciting and progressive areas of Artificial Intelligence research.  Over the last few years CeADAR has been awarded over €10M in funding to work on 17 projects including our active EDIH programme (link to programme) which supports SMEs and public sector organisation.Â
CeADAR is leading this €8.7m EU project (18 partners) that seeks to make AI more trustworthy and energy efficient.
MANOLO’s overarching vision is to deliver a comprehensive and trustworthy stack of algorithms and tools that help AI systems achieve greater efficiency and seamless optimization. By enhancing operations, resources, and data, it enables the training, deployment, and running of high-quality, lighter AI models across both centralized and cloud-edge distributed environments
This project has 21 partners from both industry and academia across Europe including SSE Airtricity.
ICOS is focused on advancing computing systems architecture to meet the demands of data-intensive applications in edge and cloud environments. By enhancing performance, scalability, and efficiency, ICOS aims to enable seamless integration and operation of complex computational tasks, ensuring modern applications function optimally across diverse computing landscapes.
This project consortium is made of 16 partners from 9 countries from across the European continent.
UPCAST supports the deployment of Common European data spaces by consolidating and acting upon mature research in data management, privacy, monetisation, exchange, and automated negotiation. It considers environmental efficiency and ensures compliance with EU and national initiatives, AI regulations, and ethical procedures, promoting sustainable and lawful data practices.
This project is being delivered by 13 partners including CeADAR and the University of Galway.Â
ADT4Blue aims to advance the Blue Economy by supporting, promoting, and encouraging the adoption of Advanced Digital Technologies—such as Artificial Intelligence, Blockchain, and IoT—among students, alumni, and early-stage entrepreneurs. By fostering innovation and technological adoption, the project seeks to stimulate growth, sustainability, and competitiveness in maritime sectors through technology-driven solutions.
This project includes 24 parties from a varied selection of industry, research and academia.
CyclOps focuses on big data, aiming to provide interoperable, trustworthy, and secure automatic management, governance, and maintenance of the entire data lifecycle. It handles large-scale volumes of data generated from heterogeneous, distributed sources to enable data sharing and exchange in data spaces, enhancing efficiency and collaboration across various sectors and industries.
This project is made up of 11 partners including academic, technical and healthcare groups.
2D-BioPAD aims to introduce a fast, cost-effective, non-invasive, reliable, digitally and graphene-enabled Point-of-Care (PoC) in-vitro diagnostics (IVD) system. This innovative solution supports early diagnosis and progression monitoring of Alzheimer’s Disease (AD) directly at primary healthcare settings, enhancing patient care and enabling timely interventions for better health outcomes in the community.
Internal Research
CeADAR carries out annual research projects for the benefit of companies within our ecosystem and network. These are known as our Lighthouse Projects. Each year two topics are identified and over a period of 6 months the team research these areas, collaborate with companies, identify uses cases, create resources and tools, and develop training courses.
The 2024 Lighthouse Project will cover:Â
- How Large Language Models (LLMs) can transform decision-making and productivity within your organisations.
- How Sustainable AI practices can reduce AI’s environmental impact and address ethical considerations.
Keen to find out more about the projects above or how we might be able to support you?Â
Internal Research
CeADAR carries out annual research projects for the benefit of companies within our ecosystem and network. These are known as our Lighthouse Projects. Each year two topics are identified and over a period of 6 months the team research these areas, collaborate with companies, identify uses cases, create resources and tools, and develop training courses.
The 2024 Lighthouse Project will cover:Â
- How Large Language Models (LLMs) can transform decision-making and productivity within your organisations.
- How Sustainable AI practices can reduce AI’s environmental impact and address ethical considerations.
To find out more about how you can access the project outputs or get involved in them please contact us.
Keen to find out more about the projects above or how we might be able to support you?