Summary
- Closed for EoI
- Profile Type
- Research & Development Request
- POD Reference
- RDRES20240719024
- Term of Validity
- 19 July 2024 - 19 July 2025
- Company's Country
- Spain
- Type of partnership
- Research and development cooperation agreement
- Targeted Countries
- All countries
Contact the EEN partner nearest to you for more information.
Find my local partner
General information
- Short Summary
- A Spanish SME from Madrid specialized in deep learning and generative AI seeks partners for EDF-2024-LS-DA-SME-NT and EDF-2024-LS-RA-SMERO-NT topics. The project idea is still open but they are willing to coordinate a consortium including different areas of interest: AI, cybersecurity, advanced sensors, physiological monitoring, human-machine interaction, and blockchain. They have already partners on board, but they need to complete the consortium.
- Full Description
-
The Spanish company leverages Machine Learning to develop predictive analytics, optimize operational efficiency, and create adaptive intelligent systems. In Deep Learning, they utilize multi-layer neural networks for enhanced human-machine interactions, Explainable AI, Generative AI, Reinforcement Learning, and diffusion models. Additionally, they employ Extended Reality (XR), including Virtual Reality (VR) and Augmented Reality (AR), to develop immersive training programs and enhance user experiences in real-world environments. These capabilities drive the development of cutting-edge defense technologies.
The R&D project is still open to discussion but the company wants to improve military safety and operational effectiveness, contributing to national and international security. They want to apply to EDF-2024-LS-DA-SME-NT and/or EDF-2024-LS-RA-SMERO-NT. The Spanish company wants to develop advanced AI, robotics, and sensor technologies to create new market opportunities, fostering economic growth and innovation. The company intends to coordinate the consortium based on their experience as partners in three ongoing EDF projects: one providing improvements in a range of different Covert Sensing domains; another one boosting efforts of the EU defense sector to fill in the existing gaps in EU Airborne Electronic Attack (AEA) capabilities; and the third one improving the interoperability of military Air Command and Control (C2) systems towards Single European Sky (SES) rules.
The main expertise of the company relies on the algorithms used for deep learning and generative AI. They have also vast experience in the health sector, and their main product has been developed to revolutionize Cardiac Care with 3D-360º Stereoscopic and Holographic Arrhythmia visualization, making diagnosis safer and smarter. this expertise is specifically valuable for the topic EDF-2024-LS-RA-SMERO-NT. - Advantages and Innovations
- With a strong track record in the defense and health sectors, the company excels in integrating advanced AI, robotics, and sensor technologies to provide unique solutions not available in the market. Their technologies enhance military readiness, safety, and efficiency, and are designed for seamless integration with existing infrastructure. The engineering team, with expertise in Machine Learning, Deep Learning, and Extended Reality (XR), develops intelligent, adaptive systems. The company is committed to cost-effective solutions that leverage civil technologies to reduce development costs and accelerate deployment. Their adaptable technologies ensure compatibility with current defense systems. They intend to coordinate a European consortium to submit a proposal for the topics EDF-2024-LS-DA-SME-NT and EDF-2024-LS-RA-SMERO-NT. They are looking for 5-10 partners, including SMEs, universities, research centers, and end-users, to complete the consortium they are already building. A focused approach is preferred to ensure the selection of high-quality partners interested in boosting defense capability development. Key innovations include AI for predictive analytics, advanced robotics for unmanned vehicle integration, deep learning applications, immersive XR training, and sustainable practices in recycling military equipment, and safe water reuse.
- Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
- Goal 3: Good Health and Well-being
- IPR status
- IPR applied but not yet granted
Partner Sought
- Expected Role of a Partner
- They intend to coordinate a European consortium submitting a proposal for the topics EDF-2024-LS-DA-SME-NT and EDF-2024-LS-RA-SMERO-NT. They are looking for 5-10 partners, including SMEs, universities, research centers, and end-users. A focused approach is preferred to ensure the selection of high-quality partners interested in boosting defense capability development.
- Type and Size of Partner
- SME <=10
- Other
- R&D Institution
- SME 50 - 249
- University
- SME 11-49
- Type of partnership
- Research and development cooperation agreement
Call details
- Framework program
- Security
- Call title and identifier
-
EDF – European Defence Fund. EDF-2024-LS-DA-SME-NT and EDF-2024-LS-RA-SMERO-NT
- Submission and evaluation scheme
-
Single stage.
- Coordinator required
-
No
- Deadline for EoI
- Deadline of the call
- Web link to the call
- https://defence-industry-space.ec.europa.eu/eu-defence-industry/european-defenc…
- Security
Dissemination
- Market keywords
- 01006001 - Defence communications
- 02007012 - Medical/health software
- Sector Groups Involved
- Aerospace and Defence
- Health
- Digital
- Targeted countries
- All countries