EUROLYNX

Private generative AI for faster report generation and interactive adjustments, ensuring adaptability to change.

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  • 02 Space for defence

Description

👩🏻‍💻 Who we are

We are a team of young Spanish Air and Space Force Officers and also technology enthusiasts with engineering. Our team consists on:

  • 2nd Lieutenant. Javier Manuel Sáenz García: Bachelor’s Degree in Computer Engineering and M.Sc. in IT Management. 
  • 2nd Lieutenant. Martín Arturo Guerrero Romero: Bachelor’s Degree in Computer Engineering in Software Engineering. M.Sc. in Business Consulting.
  • 2nd Lieutenant. Raúl Moreno Sáez: Bachelor’s Degree in Telecommunications Engineering (majoring in Image and Sound). 
  • 2nd Lieutenant. Andrés Ruz Nieto: Master´s Degree in Telecommunications Engineering (majoring in Telematics). PhD. Student at LoRaWAN technology.
  • 2nd Lieutenant. Daniel Pascual Antón: Bachelor’s Degree in Telecommunications Engineering (majoring in Telecommunications Systems). M.Sc. in Quantitative Finance and M.Sc. Business Administration.


🇪🇺 EUROLYNX

🔍 Context and Problem

In military and intelligence operations, the generation of visual intelligence reports is a critical but time-consuming process.

  • ⏱️ Average report preparation time: ~18 hours

  • 🛰️ Average satellite revisit time: ~10 hours

  • 📊 Over 10,000 reports produced in Spain alone

This time gap between image acquisition and analysis reduces the effectiveness of decision-making in time-sensitive missions, such as troop movements or personnel extraction.


🤖 Proposed Solution

EUROLYNX is a private Generative Artificial Intelligence (AI) tool designed to:

  • Analyze satellite and aerial imagery

  • Automatically detect changes and anomalies

  • Generate intelligence reports in less than one hour, using previous reports as training data

  •  Imagery analysts remain in full control of the validation process — the AI assists, but does not replace, human judgment.


💎 Value Proposition

  • Efficiency: drastic reduction in report preparation time

  • Decision Support: early warnings and automatic pre-analysis

  • Human-like Interaction: natural communication with users

  • Dual-Use Technology: suitable for military and civilian scenarios (emergencies, disaster response, etc.)


🛡️ Technical Features

AspectDescription
ArchitectureDeployed in an isolated and private (offline) environment
SecuritySegregated system between training and execution modules
PrivacyNo external connectivity – zero data leakage
InterfaceInteractive, intuitive, and designed for intelligence analysts
AI CoreGenerative models trained with real, anonymized classified reports


🗓️ Roadmap (8-Week Development Cycle)

WeekObjective
1–3AI model training and validation
4Initial interface development
5–6Infrastructure setup and cybersecurity configuration
7Final adjustments and field testing
8Deployment of the MVP (Minimum Viable Product)

🧭 Methodology: Scrum.


💰 Budget – €45,000

Category%Cost
Development Team62%€28,000
Infrastructure18%€8,000
Data Preparation7%€3,000
Validation & Deployment4%€2,000
Contingency9%€4,000


🚀 Future Development Lines

  • Creation of combat scenarios for flight simulators

  • Integration into mission and avionics systems

  • Scalability to allied units for interoperability

  • Potential inclusion in the FCAS (Future Combat Air System) program


🎯 Mission Statement

“Turning information into action — before it’s too late.”

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