Our Pilot Catalogue
During its implementation phase, SEISMEC will carry out pilots in 14 countries (14 EIT Regional Innovation Scheme and 8 Widening Countries in total). Our pilot list is multi-sectorial, targets all company sizes (from start-up to large enterprises), and covers a broad selection of worker roles. Pilots are clustered in 7 focus areas – take a look below and make sure to check our pilot glossary for all the technical details!
FOCUS #1
Work Organization
FOCUS #2
Skills & Training
FOCUS #3
Health & Safety
FOCUS #4
Management & Governance
FOCUS #5
Business Models
FOCUS #6
Corporate values & Ethics
FOCUS #7
Tasks & Functions
SEISMEC is collaborating with Zagreb Airport to transform Foreign Object Debris (FOD) detection procedures in operational areas. FOD detection in airport operational areas traditionally relies on manual inspections conducted multiple times a day, either on foot or by vehicle, using only visual observation. This process requires significant effort and poses potential safety risks. To enhance safety, reliability, and inclusivity, an AI-driven, real-time, and mobile inspection system has been designed. Mounted on a vehicle and connected to a mobile data processing and interface system, this solution automates FOD detection while redefining the role of inspectors. By integrating advanced technology, inspections can be conducted more efficiently, allowing a broader range of workers, including those with reduced mobility, to participate in safety operations. The development of this digital solution follows a structured approach, including the creation of a mobile application for FOD registration and classification, dataset collection, AI model development and validation, automated FOD detection, and full integration into airport safety vehicles. By combining human expertise with AI-powered automation, this approach enhances worker satisfaction while improving operational safety in critical airport manoeuvring and movement areas.
Kvalitetas is a functional food production company with a 100+ product portfolio, each with specific technological configurations and logistic needs. SEISMEC will implement AI and IoT technologies to support workers in the decision-making process for this complex range of products, using explainable AI to enhance capabilities. This will bring the tasks and functions of workers to a higher level of monitoring and configuration of food processes. As a result, Kvalitetas can innovate its business model by expanding the range and increasing the value of its products.
SEISMEC is collaborating with Modelo Continente Hipermercados (MCH) to optimise warehouse operations by integrating advanced technologies that enhance efficiency, effectiveness, and worker well-being. MCH has designated a warehouse as a testbed for innovative solutions aimed at automating processes and improving working conditions in the retail logistics sector. Through SEISMEC, MCH will analyse the impact of various technologies—including AI, ubiquitous computing, robotic cells, Automated Mobile Robots (AMRs), voice tools, and exoskeletons—on operational efficiency, costs, and worker safety. The project focuses on supporting warehouse operators in tasks such as manual load handling, goods transportation, and warehouse maintenance, ultimately reducing repetitive tasks and improving overall working conditions.
Mostostal is a construction company based in Poland that specialises in the design, construction, and modernisation of various infrastructure projects. SEISMEC will co-implement with solutions that include AI and computer vision technology for identification and detection of unsafe practices on the construction site, focusing specifically on walking on a ladder like stilts. Another field of focus will be the detection of construction site workers’ fatigue based on movements, in connection with wearable technology monitoring vital signals. The company will leverage its involvement in the BUILDSPACE and ASSIST IoT projects, where it has acquired knowledge and expertise in localising and detecting risky situations. This will reconfigure transparent and explainable technology that empowers workers through support of their well-being, data access, personalisation, and ownership.
SEISMEC is collaborating with NS Web Development to enhance workplace efficiency and creativity through AI-driven solutions. NS Web Development specialises in creating 2D/3D non-violent and educational games and cartoons, prioritising employee satisfaction, inclusion, and well-being as key factors in producing high-quality content. To address communication, time, and resource limitations, SEISMEC will co-implement Generative AI technology, deploying and evaluating AI assistance tools proposed by employees. This initiative aims to improve worker capacity, enhance communication, and foster a more efficient and effective work environment. By integrating AI, SEISMEC supports creativity, facilitates collaboration, and increases job satisfaction.
NTT DATA Romania (NTTD), as a pivotal part of the global NTT DATA network, excels in delivering comprehensive IT services and solutions tailored to a wide range of industries, including finance, telecommunications, and public sector projects. With its roots deeply embedded in the NTT Group's history of innovation and service excellence, NTT DATA Romania leverages the collective expertise of 2000 professionals in offering cutting-edge technological solutions. Within SEISMEC, the People Experience Redesign (PRD) initiative aims to improve the work environment for NTT DATA Romania to enhance job satisfaction and employee retention. One of the key challenges in our post-pandemic context is the lack of interaction and learning opportunities within teams. SEISMEC plans to leverage PRD concepts to develop a new interactive employee journey. This approach can help identify crucial moments in the employee journey and create personalised experiences based on design thinking methodology, aligned with individual values and needs.
SEISMEC is collaborating with Infineon to integrate explainability and privacy-preserving monitoring solutions into its AI-driven learning and skills development processes. As a world leader in semiconductor solutions, Infineon is exploring AI and data analysis technologies to personalise learning experiences and enhance technological skills across diverse audiences. By incorporating SEISMEC’s human-centric AI engagement methods, Infineon aims to improve worker empowerment and technology acceptance. Their AI-driven educational concept tailors learning paths to individual needs, creating dynamic, interactive, and effective training modules. Regardless of location—whether in the lab or on the fab floor—learning remains accessible at any time. Advanced feedback mechanisms ensure a responsive, real-time learning system that evolves with the learner, maintaining a strong focus on practical use cases. This collaboration fosters a smarter, more adaptive, and impact-driven learning ecosystem.
Atlas Copco Compressor Technique Service is a global provider of services. The Seismec project aims to enhance Atlas Copco's human-centric policies by implementing solutions that support employees in adapting to new technologies in a more human-focused manner. In collaboration with TNO, the project seeks to align employee support to help them better manage technological changes.
SEISMEC is collaborating with Ateş Wind Power to improve training processes through immersive Virtual Reality (VR) solutions. As a major components manufacturer in the wind sector, Ateş Wind Power faces challenges in training employees for high-risk tasks such as welding and working at height. To enhance safety and build employee confidence, SEISMEC is co-implementing VR technologies to create a realistic yet low-risk learning environment. This approach reduces psychological stress while providing trainees with a comprehensive understanding of complex processes. Additionally, SEISMEC is supporting Ateş in developing an innovative VR-based training system for submerged arc welding and working at height, ensuring that employees can master both theoretical knowledge and practical skills safely and effectively.
SEISMEC is collaborating with the Residential Care Centre Dijleland’s De Wingerd facility in Leuven to support its innovative cooperative-centric care approach for elderly people with dementia. This concept integrates external groups—including informal carers, students, residents, neighbours, and volunteers—into the care process based on their competencies and capabilities. To enable this model, technology must become cooperative-centric, effectively connecting different stakeholders and care resources. To achieve this, SEISMEC is co-developing a proof-of-concept for a new AI-driven planning tool. This tool will dynamically align residents’ needs with care planning, allowing for a more flexible and inclusive approach where care is provided not only by professionals but also by family members and the local community. The goal is to create a system that enhances both the quality of care and the quality of life for all those involved at De Wingerd.
Michelin produces and sells automotive tires. SEISMEC will co-develop a task recommender application to support workers in various environments. This AI application enables real-time task scheduling on complex industrial equipment and aids workers in anticipating upcoming tasks. Operators will have decision-making tools for automated equipment, ensuring worker engagement and skilling based on information.
SEISMEC is collaborating with Thales to co-implement a control interface for drones using AR/VR headsets, allowing users to manipulate a swarm of drones via the headset. As a French multinational company specialising in advanced technologies for citizen protection, critical infrastructure, and sensitive data, Thales is at the forefront of innovation in security and defence solutions. This interface can be configured for multiple search and rescue scenarios, assisting first responders in critical missions. By integrating AR/VR technology, SEISMEC aims to enhance creativity in problem-solving for search and rescue operations while improving the upskilling and training quality of workers involved in these high-stakes environments.
SELANA is a manufacturer of light electric vehicles. SEISMEC will test new technologies to enhance worker satisfaction and upskilling at different stages of the product cycle. The pilot will focus on understanding and exploring Human in the Loop Automation (HITL) for inventory & stock management; assessing and implementing generative AI for industrial design where individual skill-sets are seamlessly integrated, fostering collaboration between human creativity and technological advancement to drive innovation; improving health & safety in the warehouse by leveraging new technologies to create a safer and more conducive working environment while training and upskilling workers.
Fratelli Piacenza produces high-quality textiles and fabrics. SEISMEC will co-implement AI techniques through a microservice-based deployment architecture, either as a cloud service or on-site. A knowledge base supported by a testbed environment will guide users to AI techniques and fine-tune parameters for defect detection. Human operators will have real-time interaction through augmented reality, voice-assistance, and mobile-based human-computer interaction methods. This will enable employee co-design of technology tied to reward mechanisms, as well as lower strain for quality controllers.
Arctur is an innovation specialist company and the initiator of the Tourism 4.0 partnership. They work to inspire and empower organisations to reinvent themselves and co-create products and services, contributing to a more sustainable and equitable future for the EU tourism sector. In SEISMEC they will work together with Green Karst destination, to develop a platform for monitoring tourism flows, including demand estimation methods that allow for better work allocation between tourism providers, collaboration between providers in the region for joint business advantages, and skilling to enable workers to take advantage of these resources.
SEISMEC is collaborating with Malt, a leading European freelance management system and marketplace platform that connects freelance professionals with businesses, to explore the impact of algorithmic matching on freelancer opportunities and develop fairer recruitment processes. By analysing click-through rates, reviews, and conversion rates, SEISMEC and Malt aim to identify existing biases in online hiring and implement machine learning solutions to mitigate them. The goal is to create an inclusive online marketplace where success is not influenced by background, age, gender, or location. This pilot research examines the balance between human and algorithmic decision-making in talent matching. While human judgment captures nuance, algorithms provide scalability and control. SEISMEC will co-develop a model that harmonises efficiency with equity, ensuring AI-powered recruitment fosters fairness, inclusivity, and equal opportunities in the digital job market.
SEISMEC is collaborating with Zagreb Airport to transform Foreign Object Debris (FOD) detection procedures in operational areas. FOD detection in airport operational areas traditionally relies on manual inspections conducted multiple times a day, either on foot or by vehicle, using only visual observation. This process requires significant effort and poses potential safety risks.
To enhance safety, reliability, and inclusivity, an AI-driven, real-time, and mobile inspection system has been designed. Mounted on a vehicle and connected to a mobile data processing and interface system, this solution automates FOD detection while redefining the role of inspectors. By integrating advanced technology, inspections can be conducted more efficiently, allowing a broader range of workers, including those with reduced mobility, to participate in safety operations.
The development of this digital solution follows a structured approach, including the creation of a mobile application for FOD registration and classification, dataset collection, AI model development and validation, automated FOD detection, and full integration into airport safety vehicles. By combining human expertise with AI-powered automation, this approach enhances worker satisfaction while improving operational safety in critical airport manoeuvring and movement areas.
Kvalitetas is a functional food production company with a 100+ product portfolio, each with specific technological configurations and logistic needs. SEISMEC will implement AI and IoT technologies to support workers in the decision-making process for this complex range of products, using explainable AI to enhance capabilities. This will bring the tasks and functions of workers to a higher level of monitoring and configuration of food processes. As a result, Kvalitetas can innovate its business model by expanding the range and increasing the value of its products.
Kvalitetas is a functional food production company with a 100+ product portfolio, each with specific technological configurations and logistic needs. SEISMEC will implement AI and IoT technologies to support workers in the decision-making process for this complex range of products, using explainable AI to enhance capabilities. This will bring the tasks and functions of workers to a higher level of monitoring and configuration of food processes. As a result, Kvalitetas can innovate its business model by expanding the range and increasing the value of its products.
SEISMEC is collaborating with Modelo Continente Hipermercados (MCH) to optimise warehouse operations by integrating advanced technologies that enhance efficiency, effectiveness, and worker well-being. MCH has designated a warehouse as a testbed for innovative solutions aimed at automating processes and improving working conditions in the retail logistics sector.
Through SEISMEC, MCH will analyse the impact of various technologies—including AI, ubiquitous computing, robotic cells, Automated Mobile Robots (AMRs), voice tools, and exoskeletons—on operational efficiency, costs, and worker safety. The project focuses on supporting warehouse operators in tasks such as manual load handling, goods transportation, and warehouse maintenance, ultimately reducing repetitive tasks and improving overall working conditions.
Mostostal is a construction company based in Poland that specialises in the design, construction, and modernisation of various infrastructure projects. SEISMEC will co-implement with solutions that include AI and computer vision technology for identification and detection of unsafe practices on the construction site, focusing specifically on walking on a ladder like stilts. Another field of focus will be the detection of construction site workers’ fatigue based on movements, in connection with wearable technology monitoring vital signals. The company will leverage its involvement in the BUILDSPACE and ASSIST IoT projects, where it has acquired knowledge and expertise in localising and detecting risky situations. This will reconfigure transparent and explainable technology that empowers workers through support of their well-being, data access, personalisation, and ownership.
SEISMEC is collaborating with NS Web Development to enhance workplace efficiency and creativity through AI-driven solutions. NS Web Development specialises in creating 2D/3D non-violent and educational games and cartoons, prioritising employee satisfaction, inclusion, and well-being as key factors in producing high-quality content.
To address communication, time, and resource limitations, SEISMEC will co-implement Generative AI technology, deploying and evaluating AI assistance tools proposed by employees. This initiative aims to improve worker capacity, enhance communication, and foster a more efficient and effective work environment. By integrating AI, SEISMEC supports creativity, facilitates collaboration, and increases job satisfaction.
Mostostal Warszawa S.A. stands as one of Poland's largest construction companies, boasting a 79-year history steeped in tradition. The Digitalization and Innovation Office is instrumental in implementing digital platforms and BIM tools on construction sites. Additionally, it prioritizes nurturing and advancing digital skills among the company's employees and subcontractors. Moreover, it is responsible for the implementation of solutions related to the Internet of Things and Artificial Intelligence on construction sites. As safety on the construction sites is an outstanding value and goal of the company, SEISMEC will complement their operations with solutions that include AI for identification of risky situations. This will reconfigure transparent and explainable technology that empowers workers in communication aspects of reporting safety measures and practices on construction sites.
NTT DATA Romania (NTTD), as a pivotal part of the global NTT DATA network, excels in delivering comprehensive IT services and solutions tailored to a wide range of industries, including finance, telecommunications, and public sector projects. With its roots deeply embedded in the NTT Group's history of innovation and service excellence, NTT DATA Romania leverages the collective expertise of 2000 professionals in offering cutting-edge technological solutions. Within SEISMEC, the People Experience Redesign (PRD) initiative aims to improve the work environment for NTT DATA Romania to enhance job satisfaction and employee retention. One of the key challenges in our post-pandemic context is the lack of interaction and learning opportunities within teams. SEISMEC plans to leverage PRD concepts to develop a new interactive employee journey. This approach can help identify crucial moments in the employee journey and create personalised experiences based on design thinking methodology, aligned with individual values and needs.
SEISMEC is collaborating with Infineon to integrate explainability and privacy-preserving monitoring solutions into its AI-driven learning and skills development processes. As a world leader in semiconductor solutions, Infineon is exploring AI and data analysis technologies to personalise learning experiences and enhance technological skills across diverse audiences.
By incorporating SEISMEC’s human-centric AI engagement methods, Infineon aims to improve worker empowerment and technology acceptance. Their AI-driven educational concept tailors learning paths to individual needs, creating dynamic, interactive, and effective training modules. Regardless of location—whether in the lab or on the fab floor—learning remains accessible at any time.
Advanced feedback mechanisms ensure a responsive, real-time learning system that evolves with the learner, maintaining a strong focus on practical use cases. This collaboration fosters a smarter, more adaptive, and impact-driven learning ecosystem.
Atlas Copco Compressor Technique Service is a global provider of services. The Seismec project aims to enhance Atlas Copco's human-centric policies by implementing solutions that support employees in adapting to new technologies in a more human-focused manner. In collaboration with TNO, the project seeks to align employee support to help them better manage technological changes.
SEISMEC is collaborating with Ateş Wind Power to improve training processes through immersive Virtual Reality (VR) solutions. As a major components manufacturer in the wind sector, Ateş Wind Power faces challenges in training employees for high-risk tasks such as welding and working at height.
To enhance safety and build employee confidence, SEISMEC is co-implementing VR technologies to create a realistic yet low-risk learning environment. This approach reduces psychological stress while providing trainees with a comprehensive understanding of complex processes. Additionally, SEISMEC is supporting Ateş in developing an innovative VR-based training system for submerged arc welding and working at height, ensuring that employees can master both theoretical knowledge and practical skills safely and effectively.
SEISMEC is collaborating with the Residential Care Centre Dijleland’s De Wingerd facility in Leuven to support its innovative cooperative-centric care approach for elderly people with dementia. This concept integrates external groups—including informal carers, students, residents, neighbours, and volunteers—into the care process based on their competencies and capabilities. To enable this model, technology must become cooperative-centric, effectively connecting different stakeholders and care resources.
To achieve this, SEISMEC is co-developing a proof-of-concept for a new AI-driven planning tool. This tool will dynamically align residents’ needs with care planning, allowing for a more flexible and inclusive approach where care is provided not only by professionals but also by family members and the local community. The goal is to create a system that enhances both the quality of care and the quality of life for all those involved at De Wingerd.
Ateş Wind Power is a big components manufacturer in the wind sector. Actual training on areas like welding and work at height can pose a significant risk in terms of safety and self-confidence building of the employees. To mitigate this risk, SEISMEC will co-implement AR-VR technologies, creating an immersive and less stressful learning environment, so that trainees get a realistic understanding of such processes while reducing psychological stress.
Michelin produces and sells automotive tires. SEISMEC will co-develop a task recommender application to support workers in various environments. This AI application enables real-time task scheduling on complex industrial equipment and aids workers in anticipating upcoming tasks. Operators will have decision-making tools for automated equipment, ensuring worker engagement and skilling based on information.
Michelin produces and sells automotive tires. SEISMEC will co-develop a task recommender application to support workers in various environments. This AI application enables real-time task scheduling on complex industrial equipment and aids workers in anticipating upcoming tasks. Operators will have decision-making tools for automated equipment, ensuring worker engagement and skilling based on information.
SEISMEC is collaborating with Thales to co-implement a control interface for drones using AR/VR headsets, allowing users to manipulate a swarm of drones via the headset. As a French multinational company specialising in advanced technologies for citizen protection, critical infrastructure, and sensitive data, Thales is at the forefront of innovation in security and defence solutions.
This interface can be configured for multiple search and rescue scenarios, assisting first responders in critical missions. By integrating AR/VR technology, SEISMEC aims to enhance creativity in problem-solving for search and rescue operations while improving the upskilling and training quality of workers involved in these high-stakes environments.
SELANA is a manufacturer of light electric vehicles. SEISMEC will test new technologies to enhance worker satisfaction and upskilling at different stages of the product cycle. The pilot will focus on understanding and exploring Human in the Loop Automation (HITL) for inventory & stock management; assessing and implementing generative AI for industrial design where individual skill-sets are seamlessly integrated, fostering collaboration between human creativity and technological advancement to drive innovation; improving health & safety in the warehouse by leveraging new technologies to create a safer and more conducive working environment while training and upskilling workers.
Fratelli Piacenza produces high-quality textiles and fabrics. SEISMEC will co-implement AI techniques through a microservice-based deployment architecture, either as a cloud service or on-site. A knowledge base supported by a testbed environment will guide users to AI techniques and fine-tune parameters for defect detection. Human operators will have real-time interaction through augmented reality, voice-assistance, and mobile-based human-computer interaction methods. This will enable employee co-design of technology tied to reward mechanisms, as well as lower strain for quality controllers.
Arctur is an innovation specialist company and the initiator of the Tourism 4.0 partnership. They work to inspire and empower organisations to reinvent themselves and co-create products and services, contributing to a more sustainable and equitable future for the EU tourism sector. In SEISMEC they will work together with Green Karst destination, to develop a platform for monitoring tourism flows, including demand estimation methods that allow for better work allocation between tourism providers, collaboration between providers in the region for joint business advantages, and skilling to enable workers to take advantage of these resources.
SEISMEC is collaborating with Malt, a leading European freelance management system and marketplace platform that connects freelance professionals with businesses, to explore the impact of algorithmic matching on freelancer opportunities and develop fairer recruitment processes.
By analysing click-through rates, reviews, and conversion rates, SEISMEC and Malt aim to identify existing biases in online hiring and implement machine learning solutions to mitigate them. The goal is to create an inclusive online marketplace where success is not influenced by background, age, gender, or location.
This pilot research examines the balance between human and algorithmic decision-making in talent matching. While human judgment captures nuance, algorithms provide scalability and control. SEISMEC will co-develop a model that harmonises efficiency with equity, ensuring AI-powered recruitment fosters fairness, inclusivity, and equal opportunities in the digital job market.
