ExpertiseUpdated on 28 December 2025
Digital solutions for manufacturing processes
R&D manager at Nabladot, S.L.
Zaragoza, Spain
About
We offer a comprehensive range of innovative digital solutions to design and optimize the operation of process equipment. Our solutions integrate simulation, IoT (sensors, SCADA, cloud computing, edge computing), and AI techniques. Our solutions 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 project's primary objectives, such as aiding equipment designing, decision-making, training operators, reducing energy consumption, improving product quality, enabling predictive maintenance, and addressing other key performance indicators (KPIs).
The methodologies developed can be applied to virtually any type of process.
Field
- Artificial Intelligence (AI)
- Internet of Things (IoT)
- Manufacturing
- Energy
Attached files
Organisation
Similar opportunities
Expertise
ML for Engineering and Manufacturing
- Robotics
- Manufacturing
- Internet of Things (IoT)
- Artificial Intelligence (AI)
- High-Performance Computing (HPC)
Emilius Richter
Research & Innovation Manager at dida Datenschmiede GmbH
Berlin, Germany
Project cooperation
HORIZON-CL4-2026-02-DIGITAL-EMERGING-51-two-stage
- Partner seeks consortium
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
Qian Xu
EU Funding Manager at Roboris Srl
Pisa, Italy
Expertise
Simulation, Synthetic Data & Digital Twin
- Robotics
- Software technologies
- Interactive technologies
- Artificial Intelligence (AI)
Süleyman Altınışık
Expert R&D Engineer at OBSS Technology
İstanbul, Türkiye