Defense X Hackathon

Defense-X 2nd Edition Is Coming Soon

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21 - 23 June 2026 - Save the date!

About our project

Defense X Hackathon.

Cybersecurity and Threat Intelligence

Cybersecurity remains a critical concern for defense sectors worldwide. Hackathons focusing on developing tools for threat detection, incident response, and secure communications are highly valued. For instance, the "Digital Defenders Cybersecurity Masterclass and Capture the Flag (CTF) Competition 2023" emphasized real-world applications in web application security, network security, cryptography, and forensics .

Autonomous Systems and Robotics

The development of autonomous systems, including drones and unmanned ground vehicles, is a priority in modern defense strategies. Hackathons have focused on creating autonomous microdrones, FPV-controlled drones, and systems for first-person view control, aiming to reduce human casualties in conflict zones .

AI-Driven Tactical Communications

Artificial Intelligence is being integrated into military communications to enhance real-time situational awareness and autonomous decision-making. Hackathons are exploring AI applications in adaptive signal processing, multi-agent coordination for network optimization, and radar-assisted target tracking .

we are working to build a best plans for Romania's future To solving defense problems.

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Our Professional Skills

Cybersecurity and Threat Analysis

Artificial Intelligence (AI) and Machine Learning (ML)

Robotics and Autonomous Systems

Data Science and Big Data Analytics

Projects

Currently Qualified Projects

Redshift

Cost effective surveillance missile with inverted terrain drone radar - the project focuses on avionics reliability, recovery-system autonomy, telemetry infrastructure, and high-speed flight stability.

AEGIS drone

Autonomous drone equipped with camera, radar and sensors (gases, radiation) for detection and classification of threats (drones, mines, toxic gases, radiation) through ML

Symbiote BCI

EEG-based assessment system that objectively measures cognitive load during FPV drone operator training - by synchronizing flight simulator telemetry with neurophysiological data.

IMDCM Drones

Virtual testing ground to evaluate the flight dynamics and mission capabilities of custom UAV configurations. By simulating real-world conditions, it enables developers to safely tune flight controllers and test software integration prior to physical trials.

Nanolabs

An automated landmine detection and mapping system that leverages advanced robotics and artificial intelligence to locate concealed explosive devices across hazardous terrain.

Rapid Mesh

Field-Deployable IT Infrastructure: A Kubernetes Cluster for Campaign Intranet Services, Web Hosting and In-Field AI Retraining: Raspberry Pi and NVIDIA Jetson 8 nodes cluster.

Shobolinsky

Platformă modulară de inferență Edge AI construită în jurul acceleratoarelor TPU, destinată sistemelor autonome care operează în medii fără conectivitate.