The app includes risk evaluation tools, personalized health recommendations, and educational content to help users understand their health status. The application processes user health data to provide tailored recommendations and connects users with relevant medical information.

Combines Machine Learning and Data Analysis to help healthcare professionals understand complex health patterns and develop personalized intervention strategies by identifying individual obesity risks and suggesting tailored lifestyle
modifications.

Mobile app for matching work force and talent with supply and demand and scoring algorithm based on requested skills, work environment and conditions on the demand side and socio/demographic information, educational qualifications, skills, experience, and personalized data on the supply side.

Digital electronic platform, serving as a distribution tool for services in health care education.

Al algorithms to analyse medical images of X-rays, MRIs, and CT scans.

Process wearable devices data to monitor health parameters and detect anomalies or patterns.

Machine Learning algorithms analysing multi-modal sensor data from diagnostic analytical tools, automatically detecting degradation patterns and predicting future deterioration in monuments and artifacts. The platform integrates advanced data visualization capabilities with automated risk assessment models, allowing conservators to make evidence-based preservation decisions through intuitive dashboards and predictive analytics.

Platform for transparent data processing and sharing, enabling researchers and the research community to publish their work with evidence-based authenticity of the data analysis performed, ensuring at the same time the accreditation of their work, following the Guiding Principles of Findability, Accessibility, Interoperability and Reusability for scientific data management and stewardship.

Sophisticated chatbot applications tailored to the specific customers’ industry needs, ensuring efficient and effective interaction with available backend services. Key features include enhanced user experience, increased efficiency by automating routine tasks, scalability to adapt to growing demands, and valuable data-driven insights to improve customer service and business operations.

Hardware device enabling real-time data acquisition from distributed field analytical instruments, supporting both online and offline operational modes across diverse cultural heritage sites.

Platform for Data Acquisition, Storage and Processing from remote edge sensors connected via a multilayered Cloud infrastructure.

A Digital Holographic Speckle Pattern Interferometry (DHSPI) system that detects hidden defects in materials with nanometer-scale displacement sensitivity, without any contact or damage to the object. A thermal excitation of just a few degrees is applied, and the resulting surface displacement field is measured optically and analysed automatically.

Finite element analysis simulates how subsurface defects alter surface deformation fields, generating large synthetic datasets used to train ML models that automatically identify defect location and type from real measurement data, removing the dependency on scarce labelled physical samples.

Complete sensor-actuator systems built on Arduino, PLCs, and microcontroller platforms. The solution covers hardware selection, PCB prototyping, firmware development, signal conditioning, and closed-loop control logic. Sensor types include pressure, temperature, dissolved oxygen, load cells, and Fiber-Optic sensors for high-precision or electrically isolated measurement environments.

High-fidelity CFD simulations evaluate fluid behaviour in complex geometries, from thermal and pressure distribution in process equipment to flow optimisation in fluidic circuits and load capacity assessment in mechanical components. Results inform design decisions before any physical prototype is built.

Fiber Bragg grating sensors bonded to critical points on machines and industrial equipment measure strain, deformation, and load distribution continuously during operation. Data is collected through a centralised acquisition platform and processed to track structural behaviour over time, detect anomalies, and trigger alerts when monitored parameters exceed safe thresholds without electrical wiring in the sensing zone.

Custom fluidic kits and circuits designed for demanding medical applications. The system provides centralised, real-time monitoring and closed-loop control of temperature, flow, and pressure, with integrated dissolved oxygen sensors for biomarker calculation and a GUI for operator interaction.

End-to-end systems that integrate distributed sensor networks such as environmental, structural, traffic, and utility sensors, with data acquisition infrastructure and software platforms for real-time analysis and decision support. Collected data is processed through custom pipelines that detect anomalies, generate alerts, and produce actionable insights for urban operators. The architecture scales from a single monitored asset to city-wide deployments.

Design and implementation of robotic workflows that automate repetitive or precision-critical production tasks including pick and place, assembly, quality inspection, and material handling. Each workflow integrates robot programming, sensor feedback, and control logic tailored to the specific production environment. The result is a reliable, repeatable process that reduces manual intervention, shortens cycle times, and scales with production demand.