Arctic OWL
Edge-AI Detection Mesh
Arctic OWL is a distributed, edge-AI sensing network designed for power and connectivity-constrained environments, delivering persistent spatial awareness in remote and austere conditions without relying on existing infrastructure. Built for Arctic conditions and proven in harsh environments, it delivers scalable, off-grid monitoring for temporary or long-term deployments, critical zones, and wide-area coverage.

Watch. Listen. Understand.

Arctic OWL is a land-based Edge-AI situational awareness platform designed to provide persistent monitoring and threat detection in remote operating environments. Combining advanced acoustic sensing with intelligent optical monitoring, it delivers layered detection, verification, and tracking without reliance on fixed infrastructure.
Deployment:
Land and remote terrain
Key Capabilities:
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Edge-AI acoustic and optical sensing
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Long-duration off-grid operation
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Standalone or meshed network deployment
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Actionable intelligence, not raw sensor output
Image environment is digitally enhanced.
Continuously detecting threats across:
AIR

LAND

SURFACE

SUB-SURFACE
MULTI-DOMAIN
DETECTION
Detects and classifies drones, aircraft, ground vehicles, vessels, and sub-surface threats.
OFF-GRID OPERATION
Built for long-duration deployment with no reliance on existing infrastructure.
DISTRIBUTED MESH ARCHITECTURE
Autonomous nodes coordinate and share data to extend coverage and detection accuracy.
MULTI-MODAL SENSING
Acoustic, RF, machine vision, and underwater sensing, integrated into one system.

HOW ARCTIC OWL
WATCHES, LISTENS, AND UNDERSTANDS.
Arctic OWL deploys as a distributed network of intelligent nodes that autonomously sense, process, and share data to create real-time situational awareness, without relying on fixed infrastructure.

DEPLOY & NETWORK

SENSE ACROSS DOMAINS

PROCESS AT THE EDGE
SHARE & CORRELATE
SCALE
OFF-GRID
Nodes are positioned across the area of interest and self-coordinate into a mesh network, no fixed
infrastructure required.
Each node collects data through integrated acoustic, RF, machine vision, and underwater sensors.
Edge-Al detects and classifies threats in real time, directly at each node.
Nodes exchange and fuse data across the network to sharpen accuracy and cut false positives.
The network expands with additional nodes and runs continuously in remote, power-constrained
environments.




