GDTech and Adagos Partner to Integrate AI into Complex Systems Engineering
GDTech announces a partnership with Adagos, a French company specializing in parsimonious artificial intelligence. The objective of this collaboration is to integrate the NeurEco software into GDTech’s simulation and engineering tools to accelerate the use of AI in complex systems engineering.
AI for Numerical Simulation
NeurEco stands out for its ability to automatically create compact, interpretable, and precise models, even with limited data or computing resources. Its integration will enable GDTech to strengthen its advanced numerical simulation services and develop new industrial applications.
This partnership particularly targets environments known as systems of systems, where multiple autonomous systems interact. The use of powerful AI models then becomes essential for:
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modeling the behavior of individual systems,
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considering the environmental context,
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optimizing control strategies,
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detecting anomalies and anticipating maintenance.
An Important Partnership for Industry
By combining their expertise, GDTech and Adagos establish themselves as key partners in the application of artificial intelligence to engineering. This collaboration paves the way for innovative, sustainable solutions tailored to the needs of demanding sectors such as aerospace, automotive, defense, nuclear, and transportation.
About Adagos
Founded in 2011 in Toulouse, Adagos develops parsimonious artificial intelligence solutions. Its flagship software NeurEco enables the deployment of robust, explainable, and energy-efficient models, adapted to multiple industries.
About GDTech
With over 30 years of experience and 200 employees, GDTech is a Belgian-French company specializing in mechanical design, numerical simulation, and systems engineering. It supports its clients in cutting-edge sectors such as aerospace, automotive, defense, nuclear, and transportation.
With this partnership, GDTech confirms its position at the forefront of innovation, combining numerical simulation and artificial intelligence to address the current and future challenges of the industry.
