Portfolio

AI training and guidance to accelerate the digital transformation of companies and public administrations in Catalonia. DIH4CAT AI Connect is a regional innovation ecosystem that aims to accelerate the adoption of artificial intelligence (AI) among Catalan SMEs, start-ups, industrial companies, and public administrations. The initiative acts as a one-stop shop for a set of advanced technological services: diagnosis and consultancy, testing with high-level infrastructures, training, business model advice, and connection with European funding. This project continues the work started by the Digital Innovation Hub of Catalonia (DIH4CAT), launching a new strategic phase to drive advanced digitalisation, [...]

Innovative beverage based on green almonds, with low sugar content and bioactive properties, aimed at promoting healthier and more sustainable diets. The ALMONDFIT project develops a healthy and sustainable beverage derived from green almonds, characterized by its low sugar content and rich in bioactive compounds with potential health benefits. This study responds to the growing consumer demand for healthier and more nutritious products, which is shifting consumption trends towards beverages with lower sugar content and functional properties. In this context, the agri-food sector faces the challenge of innovating through alternative ingredients and advanced technologies to improve [...]

Innovative solutions to integrate decentralized and circular water systems that enhance urban resilience to water scarcity. The SOLUCIR project promotes new ways of managing water in cities through decentralized and circular systems that enable resource reuse and reduce dependence on ageing infrastructure. Its goal is to address water scarcity and climate-related challenges. The project analyses the main technical, financial, regulatory and social barriers that hinder the large-scale adoption of these solutions. Based on 23 real-life experiences already in operation, SOLUCIR develops demonstration studies in collaboration with water utilities and local stakeholders to demonstrate their feasibility, scalability [...]

Modular water pre-filtration system based on 3D printing and graphene oxide to improve efficiency, sustainability and resilience in emergency situations. INNOSWAMP develops a new modular system to improve in situ water filtration capable of removing bacteria, heavy metals and chemical substances. The solution combines 3D printing and advanced materials such as graphene oxide to offer a robust, energy-efficient and reusable system capable of adapting to different water sources and contamination scenarios. The innovation, with dual use adapting civil technology to the needs of defence and emergency missions and operations, contributes to European standards in water quality [...]

Advancing urban water quality through digital monitoring and management. QleanUp aims to develop an advanced water quality platform to improve resilience, robustness, and adaptability of urban water systems. The project’s ambition is to deliver an integrated, risk-based decision support platform for authorities and utilities to improve water quality.This platform seeks to provide decision-makers with real-time sensor data, digital tools, and water monitoring and management strategies to effectively plan, implement, and manage protection measures. By developing integrated monitoring and decision-support solutions, QleanUp addresses key barriers in urban water management. This approach improves the detection, understanding, and management [...]

Advanced dialysis monitoring system that measures key biomarkers in real time to improve treatment safety and control. The SIMDAC project develops an innovative system that enables real-time monitoring of dialysis treatment through the continuous measurement of key blood biomarkers, such as sodium, calcium, urea and phosphate. This information supports healthcare professionals in precisely adjusting treatment and enhancing patient safety. The solution combines electrochemical sensors with a technological module designed for integration into dialysis machines and operation under real clinical conditions. The objective is to validate the technology in a hospital environment and advance towards its practical [...]

Promotion of the Catalan artificial intelligence ecosystem through the organization of territorial engagement events, technology transfer activities, and the connection between business, technology, and innovation. The CAT-AI project promotes the organization of events aimed at disseminating the main challenges faced by artificial intelligence (AI), emerging trends, best practices from pioneering Catalan companies, and applied AI use cases. The initiative was created with the aim of communicating the range of initiatives and opportunities related to AI being developed in Catalonia within the framework of the Catalonia AI Strategy 2030. The project aims to accelerate the advanced digital [...]

New technologies for obtaining reinforced metallic materials through oxide dispersion strengthening. The nODS project develops and demonstrates alternative production routes for metal matrix composite materials reinforced by ceramic particles. The solution combines the fundamental knowledge of powder metallurgy with two innovative tools: severe plastic deformation and additive manufacturing. The study contemplates the modification of the raw material through three different routes: the processing of metal powder in a reactive atmosphere, its coating through acoustic mixing, and modification during sintering. These three procedures enable the production of metallic powder with ceramic particles of different characteristics and with [...]

Intelligent platform for the automation and optimization of stock market operations. The SMART project is developing an advanced automated trading platform. This solution combines an Artificial Intelligence (AI) agent, responsible for creating and improving trading strategies, with a universal connection module that links the platform directly with various financial intermediaries (brokers). This technology enables users to optimize their financial market activities through intelligent, automated strategies, regardless of their level of expertise. Furthermore, by integrating a universal broker connector, the system eliminates reliance on traditional external platforms like MetaTrader 4, granting users greater flexibility and direct control [...]

Explainable models for predicting players’ behaviour and cognitive and emotional state in e-sports. The E-SPORTS project develops an innovative platform for training e-sports players in the game League of Legends, based on machine learning models capable of analysing both user behaviour and cognitive and emotional state. The platform integrates interaction data from peripherals and computer vision with psychophysiological measures such as heart rate, electrodermal activity (variation in the skin’s electrical conductivity) and the recording of brain electrical activity through electroencephalography (EEG). This combination of data enables the generation of personalised, adaptive and sustainable training experiences over [...]

Optimising hospital management through digital twins and AI INABED Smart Twins enhances hospital management with digital twins, AI, and predictive models. The project addresses challenges in bed occupancy and resource allocation by using the Care Necessity Index (INA), real-time data analysis, and an interactive visualisation platform. This innovative solution optimises decision-making in hospital management, providing healthcare managers with an advanced tool based on the combination of technology and clinical data. The project expects to dramatically reduce waiting times for bed assignments and improve resource allocation. The INA Index allows for a more equitable distribution [...]

Intelligent companionship for the well-being and preventive medicine of the elderly. The AIMARA project develops an intelligent virtual assistant capable of seeing, listening, and interacting naturally with the user and offering them personalized content. Its primary goal is to provide companionship to people over the age of 70 in situations of unwanted loneliness, using advanced technologies that reinforce the sense of support and proximity. The solution is based on a distributed architecture that combines edge computing, which processes data locally to ensure an immediate, real-time response, with cloud components dedicated to global management and data analysis. [...]

A platform to support and facilitate clinical communication for women during pregnancy and postpartum. The ASISTE project is developing a platform to improve support for women during pregnancy and the postpartum period within the hospital environment. The solution facilitates the understanding of clinical information and reinforces adherence to medical recommendations. The tool is based on intelligent recommendation systems to offer personalized educational content according to each user's profile, needs, and interaction. In this regard, the system analyzes declarative and usage data to generate contextualized recommendations, prioritize relevant content, and optimize the user experience. Additionally, it incorporates [...]

Comprehensive methodology to design, manufacture, characterize, and simulate high-performance plasma actuators for industrial applications, with a focus on electronic device cooling and aerodynamic system optimization. Dielectric Barrier Discharge (DBD) plasma actuators have emerged as an innovative technology with great potential, thanks to the absence of moving parts, their high response speed, and design flexibility. However, their development is still limited by the lack of holistic studies analysing the effect of multiple design, material, and control variables, as well as by the absence of accurate simulation models capable of reliably predicting their behaviour. In this context, the [...]

Artificial intelligence-based technological platform for the optimization of the perioperative process in cardiovascular surgery OPTIMUS develops a digital platform based on artificial intelligence to improve the quality of life of patients undergoing cardiovascular surgery. The solution integrates advanced digital health technologies, predictive analytics and clinical decision support systems (DSS) for personalized surgical planning and postoperative monitoring. The platform enables improved preoperative preparation, reduces postoperative complications and supports faster recovery, contributing to shorter hospital stays and greater healthcare system efficiency. The system addresses the entire perioperative process (before, during and after surgery) in an integrated manner, going [...]