Summary
- Profile Type
- Technology offer
- POD Reference
- TOFR20250711010
- Term of Validity
- 15 July 2025 - 15 July 2026
- Company's Country
- France
- Type of partnership
- Commercial agreement with technical assistance
- Research and development cooperation agreement
- Targeted Countries
- Poland
- Lithuania
- Netherlands
- Cyprus
- Ireland
- Denmark
- France
- Estonia
- Hungary
- Czechia
- Belgium
- Finland
- Portugal
- Latvia
- Italy
- Malta
- Slovenia
- Spain
- Austria
- Germany
- Sweden
- Bulgaria
- Slovakia
- Croatia
- Greece
- Luxembourg
- Romania
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General information
- Short Summary
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A French engineering company, active in the field of numerical simulation and industrial design, provides high-fidelity simulation services for complex physical phenomena, such as multi-injection combustion, fluid-structure interaction, and thermal behavior of advanced materials, including ceramics for ultra-high temperature applications.
The company is currently seeking partners for Technological cooperation (joint projects, development of AI-enhanced simulation methods). - Full Description
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The engineering company based in Nouvelle-Aquitaine is operating in the field of advanced numerical simulation and digital engineering. The company serves key industrial sectors such as aerospace, defense, energy, and mobility, by offering high-value expertise in high-fidelity simulation, digital twins, and AI-enhanced engineering tools.
The core offer includes simulation of complex physical phenomena, such as multi-injection combustion, fluid-structure interaction, and thermal behavior of advanced materials like ceramics under extreme temperatures. The company also develops dedicated numerical methodologies to improve accuracy and efficiency of simulation workflows. In addition, the company integrates artificial intelligence and data-driven algorithms to support predictive modeling, software optimization, and testing automation, enabling faster and more reliable engineering decisions. A major strategic axis is the development of digital twins, where real-time physical data is combined with simulation models to monitor, validate or control industrial systems throughout their lifecycle.
The company addresses several limitations found in the current state of the art. Many industrial applications require fast and reliable simulation tools, yet traditional software lacks flexibility when it comes to coupling physics, handling real-time constraints, or integrating field data. Moreover, for systems operating under extreme conditions or requiring rapid iterations, the need for hybrid solutions—combining numerical simulation, experimental data, and AI—is growing. Digital twins in particular require deep expertise across multiple domains: sensors, modeling, simulation, data handling, and algorithm development.
The company is therefore looking to strengthen its capabilities through international cooperation. The company seeks partners for the co-development of digital twin frameworks for industrial systems such as propulsion units, reactors or high-temperature components. It is also interested in advancing automation of simulations and AI-based model reduction techniques (e.g. surrogate modeling or adaptive meshing), as well as expanding multi-scale and multi-physics modeling approaches for novel materials. Collaborations may involve joint tool development, experimental validation, or industrial demonstrators.
To achieve these objectives, the company is open to cooperation with academic institutions, research laboratories, and industrial companies that face similar technological challenges. It welcomes partnerships with actors developing complementary expertise in areas such as material modeling, AI, or real-time embedded simulation. Collaboration opportunities include joint projects or bilateral initiatives with research centers or technology providers.
International collaboration is seen as a strategic pathway to accelerate innovation, share technological risk, and enter new markets. The company is particularly interested in cooperation formats that enable joint IP development, technology transfer, co-supervised PhD programs, and long-term collaboration agreements with shared technological roadmaps. These partnerships are expected to deliver both scientific impact and industrial relevance. - Advantages and Innovations
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The company offers advanced engineering services that combine high-fidelity simulations, custom numerical methodologies, and AI-assisted design tools. Unlike standard service providers who rely solely on commercial CFD or FEM software, the company develops tailored simulation strategies to solve complex multi-physics problems involving combustion, thermal stress, material degradation, and dynamic interactions. The company has significant experience with ceramic and composite materials under extreme conditions, positioning it well for aerospace and energy sector challenges.
One of the company’s main innovations lies in its ability to integrate physics-based modeling with AI techniques, including surrogate modeling and machine learning for model reduction and design space exploration. These hybrid methods reduce simulation time by 40–60% while preserving predictive accuracy. The company also designs and deploys digital twins for industrial systems, enabling real-time monitoring, fault prediction, and virtual testing, especially where physical testing is costly or limited.
Another key advantage is the company’s ability to work closely with clients to develop co-engineered, problem-specific methodologies, rather than delivering standard off-the-shelf analyses. This agility makes the company an ideal partner for companies or research labs looking to go beyond conventional simulation workflows and develop innovative, validated, and scalable tools.
The company has a proven track record of participation in European R&D projects, strong links with public laboratories and academic institutions, and a team that combines numerical experts, mechanical engineers, and physicists. Its multidisciplinary profile enables it to bridge the gap between theoretical modeling and industrial deployment. - Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 13: Climate Action
- Goal 8: Decent Work and Economic Growth
- Goal 17: Partnerships to achieve the Goal
- Goal 9: Industry, Innovation and Infrastructure
- IPR status
- Secret know-how
Partner Sought
- Expected Role of a Partner
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The company is seeking partners who can contribute actively to joint research, technology co-development, and experimental validation in the field of advanced simulation and digital engineering. Depending on the project, the role of the partner can take several forms:
Academic or research partners are expected to provide expertise in physical modeling (especially multi-physics and high-temperature materials), AI methods applied to simulation (e.g. neural networks, reduced-order models, uncertainty quantification), and/or algorithm development for hybrid digital twins. A key added value would be the ability to develop and validate models at lab scale and provide experimental data for simulation calibration and benchmarking.
Industrial partners—such as technology providers, component manufacturers, or system integrators—are expected to co-define use cases and industrial needs, provide data and boundary conditions for realistic modeling, and participate in the co-design and implementation of demonstrators. The company is particularly interested in working with companies in sectors such as aerospace, defense, energy, mobility, or process industries, where high-fidelity simulations and real-time digital twins can generate operational or economic benefits. These partners could also contribute to software deployment, hardware integration (e.g. sensor systems), or pilot installations.
For software partners, the company is open to collaborations around simulation platforms, cloud-based engineering tools, data handling, or system integration. Partners could support the deployment of AI-augmented tools or help build modular platforms combining simulations with real-time data streams and control systems.
In all cases, the company is looking for partners who are open to medium/long-term cooperation with clear technical contributions. The expected collaboration involves co-investment in R&D, shared roadmap definition, and ideally, joint IP or demonstrators. The partner’s role must go beyond passive contribution—co-construction, technical exchange, and iterative validation are essential components of the desired collaboration. - Type and Size of Partner
- SME 50 - 249
- University
- Big company
- R&D Institution
- Type of partnership
- Commercial agreement with technical assistance
- Research and development cooperation agreement
Dissemination
- Technology keywords
- 01003003 - Artificial Intelligence (AI)
- 01003016 - Simulation
- 02009007 - Artificial intelligence applications for cars and transport
- 09001002 - Analyses / Test Facilities and Methods
- 01003006 - Computer Software
- Market keywords
- 02007024 - Programming services/systems engineering
- 02006004 - Data processing, analysis and input services
- 09003001 - Engineering services
- 02007016 - Artificial intelligence related software
- 02006005 - Big data management
- Sector Groups Involved
- Aerospace and Defence
- Digital
- Renewable Energy
- Agri-Food
- Maritime Industries and Services
- Mobility - Transport - Automotive
- Targeted countries
- Poland
- Lithuania
- Netherlands
- Cyprus
- Ireland
- Denmark
- France
- Estonia
- Hungary
- Czechia
- Belgium
- Finland
- Portugal
- Latvia
- Italy
- Malta
- Slovenia
- Spain
- Austria
- Germany
- Sweden
- Bulgaria
- Slovakia
- Croatia
- Greece
- Luxembourg
- Romania