PrüvIT
Building a Connected Data Infrastructure for Livestock Traceability

Livestock traceability has traditionally been structured as a compliance exercise rather than a system that delivers value to producers and supply chains. Data is often entered multiple times across disconnected systems, creating inefficiencies while offering limited visibility into how information can support decision-making and coordination across the broader ecosystem.

PrüvIT approaches traceability as a shared digital infrastructure rather than isolated reporting tools. Its platform is designed to serve the entire livestock ecosystem by making data usable across participants.

"The real opportunity in digital agriculture isn't just collecting data—it's building systems where that data strengthens the entire livestock ecosystem, from farmers and supply chains to animal health and global markets," says Corlena Patterson, CEO.

Connecting Fragmented Data across the Ecosystem

A key issue across livestock sectors is fragmentation. Information is generated by farms, veterinarians, transporters, laboratories and processors, but these systems often do not communicate effectively. This results in duplicated reporting, inconsistent records and limited visibility across the supply chain.

PrüvIT addresses this by creating a digital backbone where traceability events are recorded once and securely shared. Each animal is assigned a digital lifecycle record that follows it through production and distribution, ensuring continuity of data across all stages.

This model reduces duplication, improves data accuracy and increases participation. When data becomes useful for both compliance and daily operations, it strengthens adoption across the ecosystem. By removing repeated data entry and improving accessibility, the system supports both efficiency and better coordination among participants while enabling more reliable data exchange.

Integrating Data Capture and Verification

The platform is built to support multiple methods of data capture, allowing it to function in real-world livestock environments. Data can be entered through mobile tools, web applications, integrations with farm systems or automated technologies, ensuring flexibility across diverse operations.

FaceIT uses computer vision to recognize animals and record events automatically, while ReadIT converts paper-based records into digital data. These tools enable participation even in environments with limited connectivity or traditional workflows that still rely on manual processes.

Captured data moves through a transaction layer that links events to animal identifiers and locations, creating a continuous lifecycle record. A distributed verification layer anchors key events to a blockchain-based ledger, ensuring audit-ready traceability that supports regulatory confidence and data integrity.

Analytical tools evaluate relationships between animals, movements and locations in near real time. These capabilities are especially important in disease response, where rapid identification of exposure risk is required and timely decisions are critical for containment and prevention.

Demonstrating Value in Traceability and Response

The platform's development was shaped by collaboration with regulators and industry partners. An early innovation experiment with Canadian regulatory agencies revealed how paper-based records slow disease investigations and delay coordinated response efforts across multiple stakeholders.

Inspectors often needed to visit multiple sites to reconstruct animal movements, delaying response times. The experiment showed that a shared digital system could provide direct access to verified records, significantly improving tracing speed and response coordination in real-world scenarios.

This validation informed further development with early adopters in the sheep sector, where the system was tested in production environments. Feedback refined how data is captured, shared and integrated into daily workflows without disrupting existing operations.

Federal regulators have since reviewed the platform and are pending approval as a regulated data management system, reflecting alignment with national traceability frameworks. Traceability is evolving into a broader system that supports supply chain transparency, animal health verification and sustainability reporting. PrüvIT enables data to move securely across participants while maintaining governance, supporting faster response, improved transparency and stronger coordination across the livestock sector.