Adaptive fusion
Visible, infrared, LiDAR, radar and audio inputs contribute to a shared representation of the environment. The system weights the strongest available evidence for the conditions.
Technology
The AR-01 technology stack
Multimodal AI built to sense, understand and navigate when the platform is disconnected and the environment is contested.
Explore AR-01 ↗Five signals.
One understanding.
Single-sensor autonomy is fragile. AR-01 combines complementary sensing so darkness, obscurants, weather or the loss of one input reduce capability instead of ending the mission.
VisibleInfraredLiDARRadarAudio
Edge inference
Sensor data is processed on the platform in real time. The mission does not wait for a cloud service, ground station or external compute resource.
Graceful degradation
When one sensor is obscured or unavailable, complementary modalities preserve context rather than allowing a single point of perception failure.
No cloud. No control link. No pause.
All core perception and inference stays with the platform. AR-01 continues operating when GNSS and communications are unavailable.
Sense.
Understand.
Navigate.
AR-01 separates high-level inference from the platform's flight or drive controller, keeping perception workloads and real-time vehicle control distinct.
A common intelligence layer for aircraft, ground vehicles and maritime systems.
Autonomy within intent.
Before deployment, the operator establishes the operating area, permitted target classes, known battle lines and identification constraints. Those parameters bound every autonomous decision that follows.
AR-01 cross-checks physical signatures, mission context and agreement across active sensors. Where the required confidence is not reached, uncertainty defaults to non-engagement.
Development foundation
Built from working AI.
Arondight's architecture grows from engineering experience in a commercial multimodal AI programme: real-time inference across noisy data, edge deployment under power constraints and continuous operation without a reliable network.
That heritage provides a working foundation for model training, sensor fusion and deployment—accelerating the path from prototype to operational product.
Platform integration