ARD Group Information Technologies Inc.
European Union Projects
COMPLETED
FOOD FRIEND
Autonomous and easy-to-use tool for monitoring of personal food intake and personalised feedback
https://itea4.org/project/food-friend.html
Project Description
The goal of the Food Friend project is to develop a complete toolset, consisting of hardware, software and methodologies, that can automatically measure a person's food intake with a minimum of required user input and turn it into personalised and actionable feedback. The system can be used by care professionals, research institutions, caterers or home users to get a better overview of a person's dietary behaviour.
Project Information
| Field | Value |
|---|---|
| Call | ITEA 3 Call 5 |
| Challenge | Smart Health |
| Project Duration | 01 October 2019 – 31 October 2023 |
| Total Project Budget | €6.9M |
| Project Coordinator | Maastricht Instruments (Freek Boesten) |
| ARD’s Role | Technology Provider |
| Project Consortium | Belgium, Czech Republic, Portugal, The Netherlands, Türkiye |
POLDER
Urban Data Policy Lab: POLicy & Data Exploitation & Re-use
https://itea4.org/project/polder.html
Project Description
Recent advances in technology, from wireless sensor networks to big data processing and analysis, are changing our cities radically. Urban policymaking is a fundamental aspect of such transformation and can benefit from these emerging technologies with new supporting tools and an optimised process.
The POLDER project aims to design, develop and deploy a software tool-suite to support government, city councils and related organisations in the elicitation, design, application and validation of policymaking. POLDER proposes a hybrid policymaking model, where policy is made:
- Data-driven
- Model-driven
- Society-driven
Project Information
| Field | Value |
|---|---|
| Call | ITEA 3 Call 4 |
| Challenge | Smart Cities |
| Project Duration | 01 November 2018 – 30 June 2022 |
| Total Project Budget | €6.6M |
| Project Coordinator | Accuro Technology S.l (Emilio Mulet) |
| ARD’s Role | Technology Provider |
| Project Consortium | Finland, Romania, Spain, Türkiye |
XIVT
eXcellence In Variant Testing
https://itea4.org/project/xivt.html
Project Description
Within the XIVT project, a method and toolchain will be defined for testing highly configurable, variant-rich embedded systems in the automotive, rail, telecommunication and industrial production domains.
This will enable a highly effective, cost-efficient quality assurance, allowing the shift to autonomous, flexible and adaptive applications.
The method is founded on a knowledge-based analysis of requirements formulated in natural language, and a model-based test generation at product-line level. It is expected that XIVT methods will result in higher test coverage, more flexible processes of higher quality and better products.
Project Information
| Field | Value |
|---|---|
| Call | ITEA 3 Call 4 |
| Challenge | Smart Engineering |
| Project Duration | 01 September 2018 – 30 December 2022 |
| Total Project Budget | €13.5M |
| Project Coordinator | Project Management in Research Rosqvist & Widforss AB (Gunnar Widforss) |
| ARD’s Role | Technology Provider |
| Project Consortium | Canada, Germany, Portugal, Sweden, Türkiye |
PHEW
Empowering people to monitor and improve their health using personal data and digital coaching
https://itea4.org/project/personal-health-empowerment.html
Project Description
Current care provision is reactive and process driven, treating patients according to predefined pathways with limited possibilities to take into account the individual needs or abilities. Health authorities and care providers are finally noticing the one resource that had remained unused, the person or patient him/ herself! Significant cost reductions can be achieved by preventive solutions to help the person adopt a healthy lifestyle.
The Personal Health Empowerment project aims to achieve this goal by empowering people to monitor and improve their health using personal data and digital coaching.
Project Information
| Field | Value |
|---|---|
| Call | ITEA 3 Call 3 |
| Challenge | Smart Health |
| Project Duration | 01 January 2018 – 30 June 2022 |
| Total Project Budget | €2.4M |
| Project Coordinator | Katholieke Universiteit Leuven (Nyi-Nyi Htun) |
| ARD’s Role | Technology Provider |
| Project Consortium | Belgium, Portugal, Spain, Türkiye |
AITOC
Artificial Intelligence supported Tool Chain in Manufacturing Engineering
https://itea4.org/project/aitoc.html
Project Description
The goal if AITOC is to develop an integrated toolchain for manufacturing engineering that supports decision-making in early phases. To achieve this, the toolchain will support the formalisation and automated analysis of requirements, the computer-aided generation of process plans, simulation models and instructions and the software-supported generation of layouts.
In all of these dimensions, Artificial Intelligence will be utilised in expert systems and simulations based on data from existing solutions. The interoperability of engineering tools is also in focus and will be developed using standardised neutral data formats.
Project Information
| Field | Value |
|---|---|
| Call | ITEA 3 Call 6 |
| Challenge | Smart Engineering |
| Project Duration | 01 October 2020 – 29 February 2024 |
| Total Project Budget | €13.1M |
| Project Coordinator | Volvo (Kristofer Bengtsson) |
| ARD’s Role | Technology Provider |
| Project Consortium | Finland, Germany, Sweden, Türkiye |
OMD
Optimal Management of Demand
https://itea4.org/project/omd.html
Project Description
Increasing demands and time pressures accelerated by the pandemics make organizations ask for new automations to proactively manage their environments. The OMD framework produced in this project helps businesses to assign the correct agent to a specific service demand effectively, and remotely. This will shorten the time and reduce the cost of operations avoiding repetitions.
The OMD framework will rapidly contribute to many sectors effectively using AI models to improve service as a CSM approach. Improving the overall efficiency of operations on the supply side, the project also increases customer happiness.
Project Information
| Field | Value |
|---|---|
| Call | ITEA 3 Call 7 |
| Challenge | Smart Industry |
| Project Duration | 01 January 2022 – 31 December 2024 |
| Total Project Budget | M€ |
| Project Coordinator | Experteam (Demet Seyhan) |
| ARD’s Role | Technology Provider |
| Project Consortium | Austria, Hungary, Portugal, Slovenia, Spain, Türkiye |
IWISH
Intelligent Workflow optimization and Intuitive System interaction in Healthcare
https://itea4.org/project/iwish.html
Project Description
Within a hospital, many departments and persons need to collaborate and communicate effectively when diagnosing and treating patients. Because of the complexity of patient’s symptoms and diseases, diversity of the organization within the hospital, of the equipment and of other factors, many workflow steps can be optimized. Typical problem areas are: (1) not all relevant patient data is available at the desks where people have to decide on diagnosis, treatment planning and treatment, (2) not all equipment is available, varying from surgery tools, infusion pumps, imaging equipment or the OR itself, or (3) not all required staff is available or in time for instance because previous procedures took longer. Or they have to wait because the next procedure has been delayed. This leads to errors and inefficiencies that can be addressed by making the right data available at the right place and time during an intervention, and by using the data for retrospective analysis and feedback.
Project Information
| Field | Value |
|---|---|
| Call | AI Call 2021 |
| Challenge | AI for eHealth |
| Project Duration | 01 March 2022 – 28 February 2025 |
| Total Project Budget | €8.4M |
| Project Coordinator | Philips Medical Systems Nederland BV (Robert Hofsink) |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Belgium, The Netherlands, Singapore, Türkiye |
RUNNING
DAIsy
Developing AI ecosystems improving diagnosis and care of mental diseases
https://itea4.org/project/daisy.html
Project Description
Major depressive disorder (MDD) is a common psychiatric disorder, ranking as the second leading contributor of years lived with disability. Finding the right approach for individual patients remains challenging. DAIsy will develop and bring to the market AI-supported solutions for improved diagnosis, treatment selection, diet monitoring, activity tracking, support in behaviour adjustments, and treatment response assessment. Novel AI techniques will be jointly developed to advance the AI applicability for these fragile patients by advancing techniques for large data points/patient ratios, improving explainability and uncertainty quantification.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2021 |
| Challenge | Smart Health |
| Project Duration | 01 November 2022 – 30 March 2026 |
| Total Project Budget | €9.1M |
| Project Coordinator | ARD GROUP (Arda Ödemiş) |
| ARD’s Role | Project Coordinator, Country Coordinator, Technology Provider |
| Project Consortium | Germany, The Netherlands, Türkiye |
SYMPHONY
Eco-system for disease specific clinical workflow and data integration
https://itea4.org/project/symphony.html
Project Description
Healthcare today faces many challenges like improving patient outcome, working cost-effectively while finding a balance with growing demand, declining staff capacity and new clinical/technological developments. COVID has clearly shown the urgency for healthcare IT to ensure efficient decision-making and co-operation and a reduction of strain on the sector. The most effective way to achieve this is to unlock the full potential of the knowledge hidden within the enormous amounts of medical data generated.
The objective of SYMPHONY is to create an open healthcare IT ecosystem, providing care professionals with real-time, comprehensive insights into a patient’s status and integrating all relevant information for diagnosis, treatment selection and follow-up.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2021 |
| Challenge | Smart Health |
| Project Duration | 01 October 2022 – 30 March 2026 |
| Total Project Budget | €12.6M |
| Project Coordinator | Philips Electronics Nederland BV (Saurav Kumar Baidya) |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Canada, Spain, Sweden, The Netherlands, Türkiye |
EARS
Environment Adaptive Recommendation System
https://itea4.org/project/symphony.html
Project Description
The main problem of many domains is a lack of information and guidance, as potential customers cannot be reached because there is not enough information and guidance towards the right products.
The EARS project aims to bring together all parties in the value chain, creating an ecosystem, providing a new platform that fits the purposes of all parties and enabling them to collaborate. Entities such as businesses, algorithm developers, solution providers, service providers and recommendation systems are brought together to enhance their capabilities or those of others, monetising the artefacts by utilising them as a service.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2021 |
| Challenge | Smart Communities |
| Project Duration | 01 January 2023 – 30 September 2026 |
| Total Project Budget | €3.1M |
| Project Coordinator | ARD GROUP (Arda Ödemiş) |
| ARD’s Role | Project Coordinator, Country Coordinator, Technology Provider |
| Project Consortium | Belgium, Portugal, Spain, Türkiye |
I2DT
Intelligent Interoperable Digital Twins
https://itea4.org/project/i2dt.html
Project Description
The I2DT project aims to create an interoperability framework, methodology and tool support for constructing digital twins that can reflect complex systems with large-scale heterogeneous data and interactions. The project will address core technologies and application domains of interoperable digital twins and apply them to relevant areas like industrial production, smart cities, infrastructure asset management, wildfire protection and renewable energy resources.
The project will also advance model-based development, integrate machine learning components, define a unified reference architecture and provide tool support for both engineering and operating digital twins.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2022 |
| Challenge | Smart Industry |
| Project Duration | 01 December 2023 – 30 October 2027 |
| Total Project Budget | €3.2M |
| Project Coordinator | RISE – Research Institutes of Sweden (Mehrdad Saadatmand) |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Canada, Portugal, Republic of Korea, Spain, Sweden, Türkiye |
SINTRA
Security of Critical Infrastructure by Multi-Modal Dynamic Sensing and AI
https://itea4.org/project/sintra.html
Project Description
Stakeholders of critical industrial and civil infrastructure, e.g., airports, power plants and road networks, frequently suffer from the disruptions caused by an overwhelming diversity of man-made physical safety and security threats ranging from well-organised crime activities to low-level but costly actions like vandalism.
SINTRA aims to improve the resilience and protection of these critical infrastructures by developing an open data-streaming AI platform that enables interoperability, information sharing, and privacy protection. Using multi-modal sensing and AI-powered data analysis, it will provide a comprehensive view of the infrastructure’s safety and security and detect complex anomalies.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2022 |
| Challenge | Safety and Security |
| Project Duration | 01 November 2023 – 31 August 2027 |
| Total Project Budget | €19.6M |
| Project Coordinator | TAV Technologies (Selim Sarı) |
| ARD’s Role | Technology Provider |
| Project Consortium | Belgium, Finland, The Netherlands, Türkiye |
MedGPT
Medical GPT Revolutionizing Healthcare with Ethical AI
https://itea4.org/project/medgpt.html
Project Description
Large Language Models (LLM) tools have made significant advancements in the healthcare industry, but European healthcare faces challenges in complying with new AI regulations while ensuring responsible use of advanced GPT LLM technology.
The MedGPT project is addressing privacy and ethical concerns by embedding ethical AI and European GDPR & MDR compliance into its platform, utilising European-based LLM with the aim to set the standard for Medical GPT applications globally. This marks a paradigm shift towards smarter health applications, superior efficiency, accuracy and scalability, potentially disrupting current high-maintenance, rigid healthcare systems.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2023 |
| Challenge | Smart Health |
| Project Duration | 01 January 2025 – 31 December 2027 |
| Total Project Budget | €9.7M |
| Project Coordinator | SemLab (Bram Stalknecht) |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Austria, Portugal, The Netherlands, Türkiye |
TREAT
Transforming Healthcare Through Semantic Interoperability & Patient Self-Efficacy
https://itea4.org/project/treat.html
Project Description
TREAT aims to increase patient self-efficacy in managing non-communicable diseases including diabetes, heart attacks, cancers and chronic respiratory diseases, by using an asynchronous model and integrating data from wearables, journals, and medical records. In such a model, healthcare access moves from the clinic (system-centric) into the patient's daily life and health management shifts from the clinician to the patient.
The project will develop novel wearables and software-based solutions, like semantic interoperability, automated care feedback loops with AI recommendations and novel interfaces using interactive augmented reality, to improve patient self-efficacy while driving clinical efficiencies.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2022 |
| Challenge | Smart Health |
| Project Duration | 01 January 2024 – 30 April 2027 |
| Total Project Budget | €13.5M |
| Project Coordinator | My Viva Inc. (Loreen Wales) |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Belgium, Canada, Portugal, Spain, The Netherlands, Türkiye |
FERIDE
FERtigation Irrigation DEcision Support System
https://itea4.org/project/feride.html
Project Description
The increasing food demand and decreasing water resources have created an urge to find new technologies for efficient use of water and fertiliser for agriculture. FERIDE aims to provide a technologically controlled farming environment to improve the availability and absorption of water and nutrients in the soil, resulting in a substantial increase in crop production and quality while decreasing farming costs.
They will develop a European-scale network of actors to better manage logistics and implement an information system platform, allowing communication between different system actors such as farmers, fertilizer suppliers and irrigation providers.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2022 |
| Challenge | Smart Industry |
| Project Duration | 01 January 2024 – 31 December 2026 |
| Total Project Budget | €2.5M |
| Project Coordinator | KoçSistem (Aylin Yorulmaz) |
| ARD’s Role | Technology Provider |
| Project Consortium | Türkiye, United Kingdom |
MEDISPEECH
Improved efficiency in automated medical reporting to enhance doctor and patient experience
https://itea4.org/project/medispeech.html
Project Description
Nowadays, administrative tasks can consume up to 30% of clinicians' working hours, diverting attention from patient care and contributing to physician burnout. The MediSpeech project aims to reduce administrative waste in healthcare by creating an open digital healthcare ecosystem for automated medical reporting.
The proposed solution uses AI-powered speech recognition, data interoperability and harmonisation, and technology-advanced clinical decision support to transform the healthcare model into a patient/doctor-centered approach.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2022 |
| Challenge | Smart Health |
| Project Duration | 01 January 2025 – 31 December 2027 |
| Total Project Budget | €10.1M |
| Project Coordinator | MEDrecord BV (Jan-Marc Verlinden) |
| ARD’s Role | Technology Provider |
| Project Consortium | Finland, Portugal, The Netherlands, Türkiye, United Kingdom |
PENDING
ATLANTIS
Video-bAsed generaTive code using adversariaL AgeNts To buIld Software robots
https://itea4.org/project/atlantis.html
Project Description
ATLANTIS, robots making robots, aims to automate the generation of RPA robot code from video recordings and business process information. By integrating agents based on Generative AI models, the project interprets the input, breaks it into events, generates the automation system, and evaluates it iteratively optimised using adversarial agent techniques.
It seeks to improve the development and deployment lifecycle of intelligent automation solutions, reducing costs, time-to-market, and dependence on business users. ATLANTIS aims to boost productivity, traceability, and energy efficiency, enhancing the value of services like BPO, industrial automation, process monitoring.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2024 |
| Challenge | Smart Industry |
| Project Duration | 01 January 2026 – 31 December 2028 |
| Total Project Budget | €7.3M |
| Project Coordinator | Pareto AI |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Austria, Slovenia, Türkiye, United Kingdom |
SpectralHealth
Applications of Hyperspectral Imaging in Healthcare
https://itea4.org/project/spectralhealth.html
Project Description
SpectralHealth aims to develop and evaluate the use of Hyperspectral Imaging (HSI) for diagnostics and monitoring in healthcare. The project will adapt HSI technologies, create machine learning pipelines, and develop visualisation tools to support decision-making based on HSI data.
It will support harmonised data formats and standardised interfaces to enable interoperable, reusable ML-solutions. The technology will be validated in five use cases: surgery, diabetes-related conditions, dermatology, surgical tool inspection, and microbiology. SpectralHealth seeks to improve clinical workflows, support early detection, and reduce healthcare costs by enhancing efficiency.
Project Information
| Field | Value |
|---|---|
| Call | ITEA Call 2024 |
| Challenge | Smart Health |
| Project Duration | 01 January 2026 – 31 December 2028 |
| Total Project Budget | €24.5M |
| Project Coordinator | VTT Technical Research Centre of Finland (Johan Plomp) |
| ARD’s Role | Country Coordinator, Technology Provider |
| Project Consortium | Belgium, Finland, Portugal, Slovenia, The Netherlands, Türkiye |