Train & validate
RUNE Sim
Train and validate autonomy before it ever flies. The digital proving ground.
Prototype, test, and harden autonomous systems in realistic scenarios — with zero risk to people or equipment.

Overview
RUNE Sim (Realistic UAV Navigation Environment) is a customized Unreal Engine 5 simulation environment for training, testing, and validating autonomous systems in photorealistic defense and security scenarios. It is purpose-built to exercise Runic Defence's GPS-denied navigation (Raven Nav) and autonomy in controlled, repeatable conditions before field deployment.
It renders operations over real-world 3D terrain streamed for any location on Earth, with high-fidelity photoreal reconstruction of the operational area. A live digital twin visualises an entire drone fleet in motion — telemetry, position, and sensor readings updating in real time — and drops visual markers when sensors report anomalies such as smoke, fire, or gas, so operators can rehearse multi-drone missions exactly as they would unfold in the field.
It provides configurable sensor models — cameras and onboard imagery matched to real platforms — and threat emulation, so perception, navigation, sensor fusion, and decision logic can be exercised against realistic environmental and adversarial conditions.
RUNE Sim also supports hardware-in-the-loop (HITL) testing: a real flight controller running its actual firmware connects to the simulator, which streams synthetic IMU, GPS, velocity, altitude, and rangefinder data and reads back the controller's motor outputs to close the loop — so guidance, navigation, and flight-control behaviour can be validated on real hardware before any physical flight.
Build custom mission scenarios — urban operations, reconnaissance, search and rescue, perimeter surveillance, base protection, and complex multi-system coordination — and run them as often as needed at no risk to people or equipment.
Military & security use cases
- Training drone operators and autonomous systems
- Testing navigation algorithms before field deployment
- Simulating PTZ surveillance and automated tracking
- Evaluating decision-support workflows
- Authoring custom mission scenarios
- Testing AI perception under controlled environmental conditions
What it delivers
- Safe, repeatable mission testing
- Faster development cycles
- Custom defense scenario generation
- Validation of GPS-denied navigation and autonomy before deployment
- Coverage for drones, cameras, sensors, and autonomous platforms
- Reduced field-testing cost and risk to personnel and equipment
Key capabilities
Inside RUNE Sim.
- Photorealistic Unreal Engine 5 environments
- Real-world 3D terrain streamed for any location on Earth
- High-fidelity photoreal reconstruction of the operational area
- Live digital twin of a full drone fleet with real-time telemetry
- Sensor-driven anomaly markers (smoke, fire, gas) in the 3D scene
- Configurable sensor models (cameras / onboard imagery) matched to real platforms
- Purpose-built to validate GPS-denied navigation (Raven Nav)
- Hardware-in-the-loop (HITL) testing with real flight-control firmware in the loop
- Closed-loop sensor injection (IMU, GPS, velocity, altitude, rangefinder) and motor read-back
- Threat and adversarial-condition emulation
- Custom mission-scenario authoring (urban, recon, SAR, perimeter, base protection)
- Safe, repeatable runs before field deployment
Watch the demo
GPS-Denied Drone Localization — HITL Demo over Fayzabad
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GPS-Denied Drone Localization — HITL Demo over Fayzabad
Read the full write-up: Validating GPS-denied drone navigation in hardware-in-the-loop
Product FAQ
RUNE Sim — questions & answers
What is RUNE Sim used for?
Training, testing, and validating autonomous systems in realistic, safe, and repeatable digital scenarios before they deploy to the field.
What can it simulate?
Drone navigation, AI vision, sensor fusion, PTZ behavior, and decision logic, plus custom mission scenarios such as urban operations, reconnaissance, search-and-rescue, perimeter surveillance, and base protection.
Why simulate before deployment?
Faster development cycles, algorithm validation before real-world deployment, and reduced field-testing cost and risk to personnel and equipment.
Proven in the field
RUNE Sim in real work.
Rest of the system
Put RUNE Sim to work.
Tell us about your mission and we'll show you the system in context.



