One system. Five moving parts. Designed to disappear into the work.

A collar, a platform, a network, and an animal trained to a line it can hear. Here’s how each piece does its job — and how they work together to replace something humans have been building out of wood and wire for ten thousand years.

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From animal to dashboard, in four steps.

This is the operational reality of running a virtual fence — from the day a collar fits an animal to the day the herd moves itself through a planned rotation.

Fit the collar

A working installer or your own crew fits the collar in roughly two minutes per animal. Whole herd in an afternoon. The collar is solar-charged from day one — you’ll never swap a battery in five years of operation.

Draw your boundaries

Open the app, trace your paddocks on the satellite map with a finger. Save them, schedule them, reshape them as the season changes. No posts, no pliers, no post holes.

The herd learns the line

Every collar issues an audio cue before the boundary — a tone the animal learns to associate with “turn around.” Within three days, most herds settle.

The system runs autonomously

GPS keeps the collar oriented in space. The collar talks to a hybrid network — LTE when it’s available, direct-to-satellite when it isn’t. Boundary updates push down. Animal position data pushes up.

EXPLORE EACH SYSTEM

Each layer engineered for the operation around it.

The Collar

Built to outlast the animal wearing it. Body (28 words): IP68 sealed, solar-charged, drop-tested past four thousand cycles, warranted for five years — the longest in the category. The piece of hardware that goes on the animal, once.

The Control System

Create, adjust, and automate grazing zones without installing permanent infrastructure. Virtual boundaries can be updated in minutes, allowing operations to respond faster to pasture conditions, rotation schedules, weather, and seasonal grazing demands.

Monitoring & Insights

Track livestock movement, grazing activity, and operational patterns across large properties with greater visibility. Quietly surface the information producers need to make faster, more confident decisions throughout the grazing season.

The Virtual Boundary System

Create, adjust, and automate grazing zones without installing permanent infrastructure. Virtual boundaries can be updated in minutes, allowing operations to respond faster to pasture conditions, rotation schedules, weather, and seasonal grazing demands.

 
 

 

EXPLORE EACH SYSTEM

Each layer engineered for the operation around it.

The Platform

Live herd map, pasture utilisation, animal health flags, rotation playbooks, multi-user permissions, exportable data. Web and mobile, designed for the field — not the office.

The Mobile Command Center

Built for producers who spend more time in the field than behind a desk. Monitor herd movement, receive boundary alerts, adjust grazing zones, and manage daily operations directly from mobile — whether you’re on pasture, in the truck, or checking conditions after dark.

Health & Activity Monitoring

Surface early behavioural changes, movement anomalies, and activity patterns before they become larger operational issues. Designed to help producers maintain better visibility across large herds without constant physical observation.

Rotation Automation

Plan and automate grazing rotations with flexible virtual paddocks designed around pasture recovery and seasonal conditions. Reduce manual movement, improve grazing consistency, and manage rotations with far less physical labour.

 
 

 

 

From animal to dashboard, in four steps.

This is the operational reality of running a virtual fence — from the day a collar fits an animal to the day the herd moves itself through a planned rotation.

Connectivity

Dual-mode radio — LTE plus direct-to-satellite — switches automatically. Local cache keeps the boundary standing for 72 hours offline. Coverage you can check before you commit.

Real-Time Alerts

Receive immediate notifications when animals approach virtual boundaries, movement patterns change unexpectedly, or connectivity conditions require attention. Designed to surface important operational events before they become costly problems in the field.

Offline Reliability

Operations don’t stop when coverage drops. Local boundary caching and fail-safe connectivity systems allow grazing zones and livestock management to continue functioning even in remote terrain with limited network availability.

Remote Infrastructure

Built for large-scale and remote grazing environments where traditional infrastructure is difficult or expensive to maintain. Satellite-assisted connectivity and distributed communication systems help extend operational visibility far beyond standard coverage areas.

From animal to dashboard, in four steps.

This is the operational reality of running a virtual fence — from the day a collar fits an animal to the day the herd moves itself through a planned rotation.

Animal Training

Reviewed independently by veterinary welfare scientists at three institutions across two continents. Over 90% of trained animals respond to the audio cue alone.

Adaptive Boundary Learning

Animals learn boundary behaviour gradually through consistent audio guidance and movement reinforcement. The system is designed to reduce stress during training while helping herds adapt naturally to virtual grazing environments over time.

Welfare-First Design

Built with animal welfare at the center of the system. Training patterns, cue timing, and behavioural responses are designed to support calmer herd movement and more predictable grazing behaviour across different operational environments.

Behaviour & Movement Insights

Monitor how livestock interact with grazing zones, movement cues, and pasture boundaries over time. Behavioural insights help producers better understand herd adaptation, grazing patterns, and overall operational efficiency across the season.

 
 

 

Tell us about your operation. We'll show you the rest.

A 30-minute call with someone who has actually walked a farm. No slide deck — we’ll open the platform on your block.