Track Xiot-tagged pigs to improve health, welfare, and performance.

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Aug 1, 2025
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Xsights Livestock Management APP

The Xsights Livestock Management (XLM) platform collects, processes, and surfaces Xiot tag data, guiding daily practices on pig farms and throughout the broader supply chain to enhance commercial outcomes. Insights from Xiot tag data enable continuous monitoring of each pig so that issues can be identified and addressed promptly, helping farms account for every pig and get more of them to market, reduce mortalities, and optimize costs.

XLM provides personnel working on farm with the ability to rapidly identify, respond to, and actively manage animals with health, wellbeing, performance, or developmental issues as part of standard operations.

Pigs with Xiot tags are organized based on their location on farm, enabling XLM users to process each room quickly and efficiently based on continuously updated information as to the inventory, environmental conditions, and any pigs requiring management for that day.

Individual animals can be quickly identified by XLM which connects to and enables the LED lights on the corresponding Xiot tags. Key events, actions, and outcomes can be recorded by farm personnel as they occur each day, providing an accurate account of pig health, wellbeing, development, and performance at both an individual and group level every day.

Other key features include:

* Management list – Identifies those pigs most likely to require attention or intervention.

* Monitor list – Provides an ongoing record of those pigs with health or wellbeing issues who have medicated recently.

* Multi Ops - Enables core operations including tag deployments, medications, movements between pens, and mortality events to be documented efficiently for multiple pigs in succession.

* Room Ops – Supports accurate record keeping for events or actions impacting all the pigs in the room, such as batch medications.

* Daily/weekly room summary – Provides a concise overview of each room in terms of medications and mortality events.
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