Technovative Solutions Ltd (TVS) has begun the year with a series of significant achievements in the European research and innovation landscape. The company has secured participation in six major Horizon Europe projects across areas including geothermal energy (Renewable Energy domain), artificial intelligence, materials science (Materials & Manufacturing domain), data interoperability (Climate & Disaster Resilience domain), pandemic preparedness (Digital Healthcare domain), and climate resilience (Climate & Disaster Resilience domain).
Selected against highly competitive international consortia, these projects demonstrate the growing recognition of TVS’s expertise in advanced digital technologies, artificial intelligence, data systems, and interdisciplinary innovation throughout the years since its inception in 2012.
Together, the projects represent more than €40 million in combined programme funding and position TVS at the forefront of several strategic European initiatives addressing sustainability, digital transformation, climate resilience, and public health preparedness.
Advancing Next-Generation Geothermal Energy with SHiFT
The SHiFT (SuperHot geothermal – Integrated demonstration and Flow Testing) project aims to unlock the next generation of geothermal energy by demonstrating sustainable power generation from superhot geothermal reservoirs exceeding 400°C. While conventional geothermal energy systems typically access resources at depths of 2 to 3 km with temperatures between 240°C and 330°C, SHiFT will target much deeper and hotter geological formations with significantly higher energy potential.
SHiFT will validate three potential utilisation pathways for superhot geothermal resources:
- Direct production of superhot fluids
- Reinjection into superhot reservoirs
- Coupled production–reinjection supported by stimulation
The project builds on previous European research initiatives and the Iceland Deep Drilling Project (IDDDP) to demonstrate a fully integrated superhot geothermal system combining advanced drilling, well completion, flow testing, and surface power conversion technologies. The demonstration will raise the technology readiness level of superhot geothermal systems from TRL 5 to TRL 7.
Project Information
- Project name: SHiFT – SuperHot geothermal – Integrated demonstration and Flow Testing
- Programme: Horizon Europe
- Call topic: HORIZON-CL5-2025-02-D3-03
- Proposal number: 101269549
- Duration: 36 months
- Total project budget: €24.1 million
- Consortium: Orka náttúrunnar (ON Power) | Orkuveitan | University of Glasgow | Verkís hf. | Iceland GeoSurvey (ÍSOR) | GEROSION ehf. | Krafla Magma Testbed | Imerys France | Enel Green Power S.p.A. | Geolorn Ltd. | Ludwig-Maximilians-Universität München | National Research Council (CNR) | GFZ Helmholtz-Zentrum für Geoforschung | COWI Ísland ehf. | Fraunhofer-Gesellschaft | Reykjavik University
Role of Technovative Solutions Ltd
Within the project, Technovative Solutions Ltd (TVS) will play a key role in technology and coordination.
TVS will co-develop a physics-informed, AI-based drilling advisory system designed to optimise drilling operations and enable early detection of magma or extreme geothermal conditions. The company will also lead the integration of this advisory system directly on the drill rig, supporting drilling operations and well completion activities.
In addition, TVS will contribute to data integration and continuous AI model updating to improve system performance throughout the project lifecycle.
Beyond the technical contributions, TVS will also lead societal engagement and SSH-guided innovation activities, as well as the project’s dissemination, communication, and exploitation workstreams.
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Accelerating AI-Driven Materials Discovery through GENMAT
GENMAT (GENMAT – Generative Foundation Model for Multi-Scale Materials Discovery, Design and Deployment) is a major Horizon Europe research and innovation project aiming to transform how advanced materials are discovered and developed using artificial intelligence.
Selected under the HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-61 — AI Foundation models in science (GenAI4EU) (RIA) call, the project will develop Europe’s first integrated multi-scale, multi-modal materials-science foundation model (M3FM). The platform will connect atomic chemistry, microstructure evolution, manufacturing optimisation, and in-service performance monitoring within a unified AI infrastructure.
GENMAT will demonstrate its impact through three industrial use cases:
- Recyclable vitrimer-based polymers
- PFAS-free durable coatings
- AI-driven structural health monitoring for composite structures
GENMAT aims to significantly shorten the traditional 10 to 20-year laboratory-to-market cycle for advanced materials by combining generative AI with physics-informed modelling and large-scale materials datasets.
Project Information
- Project name: GENMAT – Generative Foundation Model for Multi-Scale Materials Discovery, Design and Deployment
- Programme: Horizon Europe
- Call topic: HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-61 – GenAI4EU
- Proposal number: 101295332
- Duration: 36 months
- Total project budget: €5.95 million
- Consortium: Politecnico di Torino | Brunel University of London | TWI Limited | Stockholm University | Aerobase Innovations AB | Entelea Limited | Talos Analytics | Cubic Snail | Innovation in Research & Engineering Solutions (IRES) SNC | Bar-Ilan University | NVIDIA | CINECA | Digital Security Lab Ukraine
Role of Technovative Solutions Ltd
TVS will lead the Preparatory Foundation Model Framework Development, ensuring the robustness, explainability, and trustworthiness of the GENMAT foundation models. The company will also conduct consolidated validation and AI audits across the project lifecycle.
CDIF4EOSC - Enabling FAIR Interoperability Across European Research Infrastructures
The CDIF4EOSC (Developing and implementing the Cross-Domain Interoperability Framework for EOSC) project aims to advance interoperability across Europe’s research infrastructures by operationalising the Cross-Domain Interoperability Framework (CDIF) for the European Open Science Cloud (EOSC) ecosystem.
The project will transform CDIF into a practical FAIR Integration Playbook, enabling seamless integration of research data and services across domains and infrastructures.
The initiative will also extend the FAIR principles (Findable, Accessible, Interoperable and Reusable) by incorporating data quality, governance, trust, and sensitive data management.
Project Information
- Project name: CDIF4EOSC – Developing and implementing the Cross-Domain Interoperability Framework for EOSC
- Programme: Horizon Europe
- Call topic: HORIZON-INFRA-2025-01-EOSC-02 (RIA)
- Proposal number: 101292473
- Duration: 36 months
- Total project budget: €7.99 million
- Consortium: Committee on Data for Science and Technology (CODATA) | Technovative Solutions Ltd (TVS) | Erasmus Universiteit Rotterdam | Consortium of European Social Science Data Archives (CESSDA) | University of Essex | Sikt – Norwegian Agency for Shared Services in Education and Research | National Center for Scientific Research “Demokritos” | National Oceanography Centre | MARIS BV | Seven Past Nine d.o.o. | SINTEF AS | The University of Manchester | Institute of Oceanology Polish Academy of Sciences | Centre National de la Recherche Scientifique (CNRS) | Institut de Recherche pour le Développement (IRD) | INRAE | Stichting EGI | IFREMER | GO FAIR Foundation | G.A.C. Group (France)
Role of Technovative Solutions Ltd
TVS will co-lead FAIR Integration with EOSC Nodes and European Data Spaces. The company will also develop the CDIF4EOSC tools and services that operationalise FAIR integration across domains and support scalable adoption of FAIR research practices.
Strengthening Pandemic Preparedness with PANDAI
The PANDAI (European Pandemics AI Observatory) project will create a powerful AI-driven platform to strengthen Europe’s ability to predict, detect, and respond to pandemics.
The observatory will integrate global health data sources and advanced AI analytics to provide epidemiologists, public health authorities, scientists, and policymakers with forecasting models and actionable recommendations.
The system will also be integrated with the WHO European Observatory on Health Systems and Policies, enabling coordinated data analysis and decision-making at the international level.
Project Information
- Project name: PANDAI – European Pandemics AI Observatory
- Programme: Horizon Europe
- Call topic: Horizon Europe call on AI solutions for public health preparedness
- Proposal number: 101286924
- Duration: 36 months
- Total project budget: €7.99 million
- Consortium: University of Oxford | World Health Organization (WHO) | Technovative Solutions Ltd (TVS) | International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) | Clalit Health Services | Bahia Software | Arteevo Technologies Ltd. | Luxembourg National Data Service (LNDS) | Infectious Disease Alliance
Role of Technovative Solutions Ltd
TVS will lead the development and deployment of the Pandemic AI observatory data repository and integrate the AI Observatory with the WHO European Observatory on Health Systems and Policies.
Supporting Climate-Resilient Coastal Futures Through JUST-COAST
The JUST-COAST (Justice-Driven Integrated Transformation for Climate-Resilient Coastal Futures: Co-creating just, systemic, and inclusive solutions for transformative adaptation in vulnerable coastal hotspots) project focuses on climate resilience in vulnerable coastal regions, supporting communities and policymakers in designing inclusive and sustainable adaptation strategies.
The initiative will co-create place- and people-centred adaptation pathways, develop nature-based and hybrid climate solutions, and deploy digital tools including digital twins, early-warning systems, and resilience platforms.
JUST-COAST will also develop innovative financing mechanisms to enable long-term investment in climate adaptation infrastructure.
Project Information
- Project name: JUST-COAST – Justice-Driven Integrated Transformation for Climate-Resilient Coastal Futures: Co-creating just, systemic, and inclusive solutions for transformative adaptation in vulnerable coastal hotspots
- Programme: Horizon Europe
- Call topic: HORIZON-MISS-2025-01-CLIMA-03
- Proposal number: 101296129
- Duration: 48 months
- Total project budget: €11.5 million
- Consortium: Laboratório Nacional de Engenharia Civil | Committee on Data for Science and Technology (CODATA) | National Center for Scientific Research “Demokritos” | Artelia (France) | Lanus Technologies Ltd | Administração do Porto de Aveiro, S.A. | Cambiamo Sociedad Cooperativa Madrileña | University of Cambridge | CORILA | University of Southern Denmark (Syddansk Universitet) | National University of Science and Technology POLITEHNICA Bucharest | Danube Delta National Institute for Research and Development | Sofia University St. Kliment Ohridski | Burgas Municipality | Universidade de Aveiro | Technovative Solutions Ltd (TVS) | TVS Ireland | Mersin Metropolitan Municipality | Kafademi Social Sciences | Portos dos Açores, S.A. | UKRI – Science and Technology Facilities Council | European Integrated Project | Grand Port Maritime de Guadeloupe | Mazotos Community Council | DESFA – Hellenic Gas Transmission System Operator | Adelphi research gGmbH | Environment and Water Agency | Prefecture of Tulcea | City of Venice
Role of Technovative Solutions Ltd
TVS will lead the development of agentic AI solutions for modelling, monitoring, and stakeholder interaction. The company will also design and deploy the JUST-COAST Resilience Platform, develop associated data space services, and contribute to the Circular Finance methodology under the CertaFin model.
Additionally, TVS will develop and manage the project’s Data Management Plan and governance strategy, ensuring secure and FAIR data use throughout the project lifecycle.
Strengthening Disaster Risk Forecasting and Early Warning with RESILIACT
The RESILIACT (Cross-regional action for enhanced impact forecasting, early warning, and resilient governance) project aims to address increasingly complex and interconnected disaster risks across Europe, driven by climate change, urbanisation, and systemic dependencies.
Selected under the HORIZON-CL3-2025-01-DRS-02 (HORIZON Research and Innovation Actions) call, the project will develop an operational, web-based platform enabling multi-hazard impact forecasting, impact-based early warning, and anticipatory decision-making. The platform integrates interoperable components for data exchange, hazard interaction modelling, impact forecasting, decision support, and risk communication.
The project will be demonstrated across multiple European regions through real-world pilot implementations, thereby improving disaster preparedness and response and contributing to EU frameworks such as the Civil Protection Mechanism and the Climate Adaptation Strategy.
Project Information
- Project name: RESILIACT – Cross-regional action for enhanced impact forecasting, early warning, and resilient governance
- Programme: Horizon Europe
- Call topic: HORIZON-CL3-2025-01-DRS-02 (RIA)
- Proposal number: 101309693
- Duration: 36 months
- Total project budget: €3.49 million
- Consortium: NORSAR | Agency for Emergency Planning, City of Oslo | Norwegian Meteorological Institute | Reykjavik Fire Service | Icelandic Meteorological Office | City of Stockholm (Safety and Security Department) | Finnish Meteorological Institute | City of Lisbon | Civil Protection Directorate of Attica Region | City of Brussels | TenneT | Resilience Advisors Network | European Emergency Number Association (EENA) | CODATA | University of Cambridge | NTNU Social Research | INDEV Development | University of Iceland | National Delegation for Major Risks (Algeria) | University of Porto | Essex County Council | Danish Emergency Services
- Associated Stakeholders: Danish Meteorological Institute | Swedish Meteorological and Hydrological Institute | Helsinki City Rescue Department | Finnish Red Cross
Role of Technovative Solutions Ltd
Within RESILIACT, Technovative Solutions Ltd (TVS) will lead the work package titled “Development of the Web-Based RESILIACT Platform”, which represents the functional core of the project.
TVS will design and develop a coherent, modular, and scalable web-based platform that integrates the project’s core analytical components, including MSDIF, MHIF, and MIF-EWS, and will also develop and integrate two additional modules: the Decision Support System (DSS) and the Multi-Channel Emergency Risk Communication (MCERC) environment.
The platform will connect data ingestion, hazard interaction modelling, impact forecasting, decision support, and risk communication into a unified system, ensuring interoperability, usability, and alignment with FAIR and open science principles.
As part of this work, TVS will:
- Integrate all platform components into a unified architecture
- Validate technical and semantic interoperability across modules
- Ensure user-centred design, accessibility, and security
- Prepare the platform for demonstration, replication, and future scaling
Through this contribution, TVS will play a central role in bridging research outputs with real-world operational disaster risk management practices.
Expanding TVS’s Role in European Research and Innovation
These project wins collectively reinforce TVS’s growing role as a trusted technical partner in Horizon Europe initiatives. Across the six projects, TVS contributes expertise in artificial intelligence, data infrastructures, digital platforms, interoperability frameworks, and responsible innovation.
TVS’ involvement spans multiple strategic areas, including sustainable energy, climate adaptation, advanced materials, open science infrastructures, and global health preparedness.
As these projects move forward, they will generate new research outcomes, digital solutions, and collaborative opportunities across Europe’s innovation ecosystem, and we’re excited to share more research opportunities in the coming days.
