PELLTINEL is an AI-based digital product that enables the detection, measurement and monitoring of microplastics across the entire value chain of the industry. It identifies the presence of these particles in real time and helps ensure compliance with current European regulations on pellet detecting pellet spills.

ARCADE is a system based on computer vision and deep neural networks, designed to detect quality defects in vehicles during manufacturing. Using smart cameras and state-of-the-art sensors, it captures detailed real-time images and analyses each unit - ranging from paint imperfections to missing or faulty components. It is currently implemented in some of Europe’s leading automotive plants, operating with 99% reliability and ensuring automated, precise and consistent quality control.

iCROW is an intelligent detection system designed to enhance safety at railway level crossings and road intersections through computer vision and real-time analytics. It uses high-resolution cameras, state-of-the-art sensors and deep learning models to automatically identify any obstacle on the tracks: vehicles, pedestrians, animals or fallen objects. iCROW is certified by ADIF, validating its reliability for critical infrastructure and public safety applications.

SAWID is an autonomous system for monitoring and analysing water quality, designed to provide accurate, continuous data in rivers, lakes, ports and coastal areas. It integrates advanced sensors, IoT technology and data intelligence, offering an efficient, scalable solution focused on environmental sustainability. Ideal for government agencies, water cycle operators and research projects that require reliable, up-to-date information about aquatic environments.