nablaDot helps equipment manufacturers and plant operators make better engineering and operational decisions by combining advanced physical modelling, artificial intelligence and real-world industrial data.
We develop digital engineering solutions that go beyond conventional monitoring and data analytics. Our approach combines high-fidelity simulation, real-time models, AI and digital twins to understand how industrial systems behave, predict their performance and evaluate alternative operating or design scenarios.
Where we create value
Industrial Thermal Equipment & Energy Efficiency
We help manufacturers and industrial operators design and optimise heat exchangers, preheaters, combustion systems and other energy-intensive equipment. Our solutions support improved thermal performance, reduced energy consumption, equipment reliability and the transition towards low-carbon technologies, including hydrogen and hybrid heating systems.
Smart Industrial Processes & Digital Twins
We transform complex engineering simulations into fast, predictive models that can be integrated with industrial monitoring and automation platforms. This enables more effective performance monitoring, operational optimisation, scenario analysis and predictive maintenance.
Water Treatment & Resource Recovery
We develop process models and digital twins for anaerobic and aerobic wastewater treatment and UV disinfection. These tools help operators understand process behaviour, improve treatment performance, reduce operational costs and identify opportunities to increase energy and resource recovery.
Renewable Energy & Predictive Modelling
We also develop fast modelling and forecasting solutions for renewable energy applications, including wind conditions and solar PV generation.
What makes us different?
We bridge the gap between advanced engineering science and practical industrial applications.
Rather than focusing exclusively on simulation, software development or data analytics, we cover the complete pathway from understanding physical processes and developing high-fidelity models to building computationally efficient, deployable digital solutions.
Our combination of physics-based models and AI provides a foundation for predictive tools that can be validated against real operating data and adapted to changing industrial conditions.
Cooperation opportunities
We are interested in collaborating with:
Equipment manufacturers (OEMs) seeking to improve product performance or embed advanced digital capabilities into their equipment.
Industrial plant operators looking to improve efficiency, reliability, productivity and sustainability.
Automation companies, IoT providers and system integrators interested in incorporating advanced physical and predictive models into their digital platforms.
Technology providers and R&D partners seeking joint technology development, industrial demonstrations and European collaborative projects.
We welcome both commercial partnerships and collaborative innovation projects, including Horizon Europe and Eurostars initiatives.
R&D manager
Nabladot, S.L.
Service
Smarter Industrial Thermal Processes: Design Optimization and Predictive Maintenance
Improve the performance of heat exchangers, furnaces, burners and preheaters. We combine CFD and fast digital models to identify energy losses, evaluate retrofits and support low-carbon operation, including hydrogen and hybrid heating.
R&D manager at Nabladot, S.L.
Zaragoza, Spain
Service
Smarter Wastewater Treatment: Digital Twins and Process Optimization
Improve treatment stability, energy efficiency and resource recovery in wastewater plants. Our process models and digital twins support monitoring, troubleshooting and optimisation of anaerobic and aerobic reactors, biogas generation and UV disinfection.
R&D manager at Nabladot, S.L.
Zaragoza, Spain
Service
Industrial Digital Twins That Go Beyond Monitoring
Move beyond dashboards: use physics-based digital twins to understand process behaviour, predict performance and test operating changes safely. We combine simulation, reduced-order models, AI and plant data to support better industrial decisions.
R&D manager at Nabladot, S.L.
Zaragoza, Spain
