Our development in SwarmAI advances the state of the art in autonomous drone systems by uniting GNSS-denied cooperative localization, multimodal edge perception, semantic communication, and explainable cognitive reasoning into a certifiable drone swarm architecture.
Autonomous Swarm AI
It moves autonomy beyond single-agent control to mission-level intelligence, enabling proactive, self-healing operations under uncertainty.
Al-based tactical situational awareness using swarms of small robots and drones.
The Combat AI multi‑agent system, interact humans and drones to perceive, interpret, and understand its operational environment using sensors, simulations, and data analysis.
This development is to assisting soldiers with robots and drones that can provide an accurate tactical situational awareness by using artificial intelligence becomes essential for soldier protection.
Threat detection
Our Combat AI focus areas are in long-range threat detection and the ability to operate unmanned within battle tanks and provide real-time situational awareness on the battlefield.
As European land forces transition toward the next generation of main battle tanks, the decisive advantage will no longer come from armour thickness or engine power alone—it will come from information dominance.
Combat AI transforms raw sensor data into actionable intelligence, enabling crews- and autonomous platforms to detect, classify, and respond to threats faster and more accurately than ever before.
AI‑Driven Long‑Range Threat Detection
Future tanks and military forces require superior situational awareness across all domains, from dense urban terrain to contested electromagnetic environments.
Combat AI platform focus:
1. Multi‑Spectrum Threat Detection
- Fusion of EO/IR, radar, acoustic, and EW signatures
- Real‑time classification of rockets, vehicles, drones, infantry, munitions, and anomalies
- Robust performance in degraded visual environments (smoke, dust, fog, night)
2. Long‑Range Predictive Sensing
- AI models trained to detect early indicators of hostile intent
- Trajectory prediction for incoming threats
- Prioritisation algorithms that highlight the most dangerous targets first
3. Cognitive Decision Support for Reduced Crews
- Automated threat triage reduces cognitive load
- Adaptive alerts tuned to mission context
- Seamless integration with fire‑control and C2 systems
- Enables safe operation with smaller crews—and ultimately unmanned vehicles
4. AI Resilience in Contested Environments
- On‑edge inference for low‑latency performance
- EW‑resilient models hardened against spoofing and adversarial interference
- Secure, sovereign European AI stack aligned with EDF requirements