ExpertiseUpdated on 31 March 2025
Digital solutions for industrial processes
About
We offer a comprehensive range of 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. 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, 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
- Manufacturing
- Decarbonisation
- Energy Efficiency
- Modelling, simulation, predictive technologies
- Sustainability
- Hydrogen
- Testing & Analysis
Attached files
Similar opportunities
Project cooperation
- Hydrogen
- Manufacturing
- Advanced Materials
Georgios Zaverdinos
DELTA-MPIS
Athens, Greece
Product
SBOVA [Smart Battery Optimization Vehicles with AI]
- Licensing
- Batteries
- Demonstration
- Sustainability
- Decarbonisation
- Energy Efficiency
- Product development
- AI-GenAI /Data/Robotics
- Energy Intensive Industries
- Testing the product/application
- Prototype development / MVP (Product Minimum Viable)
Sébastien ZUIN
Business Manager at SATT CONECTUS
STRASBOURG, France
Expertise
One-stop-shop for composite materials
- Hydrogen
- Construction
- Manufacturing
- Sustainability
- Energy Efficiency
- Advanced Materials
- Testing & Analysis
- AI-GenAI /Data/Robotics
- Modelling, simulation, predictive technologies
Nora Feiden
EU Research Officer at Leibniz-Institut fuer Verbundwerkstoffe
Kaiserslautern, Germany