Hadrian - Praetorian Aeronautics

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BRIEFING

The Hadrian AI combines data from multiple sensor feeds to detect incoming UAS/UxS threats across air, land, and maritime domains.

Sensor fusion and AI-driven triangulation isolate the threat's exact position, velocity, and vector in real time.

Hadrian continuously tracks threat signatures, autonomously prioritising multiple contacts based on intent, range, payload, and risk profile.

Hadrian matches the most effective countermeasure to the best-positioned Dagger launcher through its “Any Sensor, Best Effector” logic.

The assigned Dagger launches and autonomously navigates to intercept the target beyond visual range, continuing to the target within communications degraded environments.

Dagger onboard systems confirm strike outcome and relay assessment data back to Hadrian, closing the loop and enabling rapid re-tasking for layered defence.

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DRONE_03 = HOLDING_PATTERN

// swarm_on-swarm_engagements

drone countermeasures

Hadrian utilises next generation multi-agent reinforcement learning AI (MARL) to automatically detect, prioritise, and produce complex swarm-on-swarm drone countermeasures at machine speed.

// Decentralised

Hadrian is decentralised and interoperable across existing battle networks, platforms, and controllers, ensuring operational effectiveness continues in contested and communications degraded environments.

// Sensor_Fusion

Hadrian fuses all sensor data across a battle network, enabling adversary threats to be detected beyond visual range, before Hadrian selects the optimal countermeasure from available Dagger launchers.

// Self-Improving

Hadrian compares complex adversary swarm analysis against a self-learning threat library. Hadrian ensures the most effective, strategic countermeasure formation is deployed, even against evasive AI-enabled drone adversaries.

// Force_Multiplier

Hadrian multiplies force effectiveness by automating threat prioritisation and countermeasure formulation, enabling rapid, coordinated swarm-on-swarm responses that reduce both operator workload and risk, requiring only a single operator to manage complex swarm engagements.

// swarm_on-swarm_engagements

autonomous ai

Built on a multi-agent reinforcement learning framework, Hadrian enables swarm on-swarm engagements by autonomously detecting threats, optimising countermeasures, assigning effectors, and coordinating complex engagements.

// //_machine_speed

Its “Any Sensor, Best Effector” architecture fuses data from diverse sensor sources to generate real-time countermeasure solutions at machine speed, allowing a single operator to manage complex, multi-domain engagements.

// Seamless_integration

Designed with decentralised operation and open architecture for seamless integration into existing C2 networks, Hadrian ensures survivability in contested and communications degraded environments—delivering faster decisions, greater resilience, and enhanced lethality across the modern battle space.

// LOAD_EXTENDED_MODULES

products

// Dagger_interceptor

Dagger is a scalable, cost-effective, autonomous counter-UAS and counter-UxS interceptor designed to defend against massed drone swarms across air, land, and maritime domains.

Access Specs

// Venator

Venator is a high-endurance, autonomous unmanned aerial system built for long-range ISTAR, deep strike, and counter-swarm missions across air, land, and maritime domains.

Access Specs