Asset Tracking & Logistics

The Challenge

The Barriers to Reliable Asset Visibility

Asset tracking in logistics often breaks down in areas with poor connectivity, expensive hardware, or high operational overhead. OWL helps eliminate these friction points with a plug-and-play IoT platform built for reliability and scale.

Limited Connectivity in Remote Areas

Traditional tracking systems rely on cellular or WiFi, which fail in rural or cross-border transport routes. OWL’s LoRA mesh network can operate with or independently of Cellular, WiFi, and Satcom.

Battery Life and Maintenance

Devices that require frequent charging or complex setups are not scalable. OWL hardware is optimized for low power and long-range communication in austere environments. Set it, forget it.

Lack of Flexibility and Control

Many tracking platforms are closed systems. With OWL, you choose your hardware roles, sensors, and data routing to give you full control and visibility across your fleet, how you want to see it.

The Solution

Customized Asset Tracking Networks

OWL delivers a complete, end-to-end asset tracking solution made for environments where traditional infrastructure fails. From rugged hardware to self-healing mesh firmware and a browser-based management dashboard, OWL gives you everything you need to deploy, monitor, and scale asset tracking networks anywhere.

The QuackerBoard

Modular hardware designed for remote deployments and extreme environments. Whether you need long-range communication, sensor integration, or scalable mesh networking.

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The ClusterDuck Protocol

Flash firmware instantly through our cloud-based DMS, no complex tools needed. Choose from pre-configured options or customize your own, ensuring your network is optimized for your use case.

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The OWL DMS

The Duck Management System (DMS) lets you oversee every device in real-time. Deploy, monitor, and scale effortlessly with an intuitive dashboard designed for reliability and control.

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How Phoenix Zoo Built an Endangered Species Monitoring Network with OWL

Using OWL’s mesh networking hardware and cloud tools, Phoenix Zoo and its partners deployed an AI-powered acoustic monitoring network to detect endangered Three-wattled Bellbirds in Costa Rica. In collaboration with ProCAT Costa Rica and Arizona State University, the Phoenix Zoo leveraged OWL’s DuckLink hardware to build a field-ready solution for tracking the elusive bellbird in remote rainforest terrain. The initial deployment of 10 solar-powered, ML-enabled nodes in January 2025 proved the system’s durability and accuracy, as well as the Bellbird's existence in this region.

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