ExpertiseUpdated on 10 June 2025
Digital solutions for industrial & environmental processes
About
We offer a comprehensive range of digital solutions to design and optimize the operation of process equipment and forecast environmental variables (wind, solar radiation, pollutant dispersion). Our solutions integrate simulation, IoT (sensors, SCADA, cloud computing, edge computing), and AI techniques. We customize each solution to meet our client's specific needs, which include:
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Advanced simulations (CFD)
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Physics-based reduced order model
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Real-time data analysis
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Optimization using real-time data-driven models (artificial intelligence)
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Optimization using real-time physics-based models (Physics Reduced Order Model)
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Digital twin technology
These solutions are tailored to align with the client's primary objectives, such as aiding equipment designing, decision-making, training operators, reducing energy consumption, improving product quality, optimizing operation, enabling predictive maintenance, and addressing other key performance indicators (KPIs).
The methodologies developed can be applied to virtually any type of process.
If you're interested in learning more, please get in touch with us for additional details about our solutions, our experience in implementing them and potential benefits of these solutions.
Field
- Artificial Intelligence (AI)
- Big data & analytics
- Cloud computing
- High Performance Computing (HPC)
- Interactive technologies
- Manufacturing
- Circular economy
- Environment
- Energy
- Smart cities and communities
- International cooperation
Attached files
Organisation
Similar opportunities
Project cooperation
Our expertise areas for partnerships in Horizon Europe-2025 and EDF-2025 calls
- Partner seeks consortium
- HORIZON-CL4-2025-03-DIGITAL-EMERGING-09: Challenge-Driven GenAI4EU Booster
- HORIZON-CL4-2025-04-DATA-03: Software Engineering for AI and generative AI
- HORIZON-CL4-2025-04-DATA-02: Empowering AI/generative AI along the Cognitive Computing continuum
- HORIZON-CL4-2025-03-DIGITAL-EMERGING-07: Robust and trustworthy GenerativeAI for Robotics and industrial automation
- HORIZON-CL4-2025-03-MATERIALS-47: Innovative Advanced Materials (IAMs) for conformable, flexible or stretchable electronics
- HORIZON-CL4-2025-03-MATERIALS-46: Innovative Advanced Materials (IAMs) for photonics, enabling low-power and ultra-broadband performance for telecommunication
- HORIZON-CL4-2025-03-DATA-08: Large-scale pilots for supply end-to-end infrastructures integrating device, network computing and communication capabilities for Telco Edge Cloud deployments, as a basis for Connected Collaborative Computing Networks
Haralabos Theodoros Tsahalis
CEO / Head of Research & Development at PARAGON S.A.
Athens, Greece
Expertise
- Energy
- Robotics
- Cloud computing
- Big data & analytics
- Language Technologies
- Software technologies
- Artificial Intelligence (AI)
- High Performance Computing (HPC)
Aleš Zamuda
Associate Professor at University of Maribor
Maribor, Slovenia
Project cooperation
Digital Twin, GEnAI, Cloud-edge continuum
- Partner seeks consortium
- HORIZON-CL4-2025-04-DATA-03: Software Engineering for AI and generative AI
- HORIZON-CL4-2025-04-DATA-02: Empowering AI/generative AI along the Cognitive Computing continuum
- HORIZON-CL4-2025-04-DIGITAL-EMERGING-01: Advanced sensor technologies and multimodal sensor integration for multiple application domains
- HORIZON-CL4-2025-03-DATA-08: Large-scale pilots for supply end-to-end infrastructures integrating device, network computing and communication capabilities for Telco Edge Cloud deployments, as a basis for Connected Collaborative Computing Networks
Antonio Lalaguna
CTO & Research Officer at ACISA
Barcelona, Spain