The Technology Journey on Today’s Farms: From Data to Decisions to Action By Rob Hannam, CEO
Every farm, regardless of size or sector, is somewhere along a path that moves from data to decisions to action.
Digital tools don’t replace good biosecurity practices; they make those practices faster, more reliable, and easier to follow.
Harnessing the power of digital biosecurity tools will dramatically increase compliance and reduce disease pressure.
While we often think of farm technology as large equipment—robots, automated feeders, or ventilation controls—there’s an equally important, less visible transformation happening behind the scenes. Increasingly, farms are harnessing information to build predictive and adaptive tools that help them respond faster and make better decisions.
In livestock production especially, this shift toward data-driven decision-making has the potential to fundamentally improve productivity, animal health, and prevent diseases across the entire sector. Digital tools don’t replace good biosecurity practices; they make those practices faster, more reliable, and easier to follow every day.
The technology journey is sequential. Technology adoption in agriculture isn’t a single step—it’s a crucial and inevitable journey. Every farm, regardless of size or sector, is somewhere along a path that moves from data to decisions to action. Every farm is on this journey—it’s just that some are moving faster than others.
Stage 1: What is happening?
Automatic Data Collection: We replace manual logs and paperwork with accurate, real-time digital data—who entered the farm, which vehicles arrived, and whether biosecurity protocols were followed.
Stage 2: Why did it happen?
Turning Data into Useful Information: Once the data is captured, visibility increases dramatically. Clear dashboards help farms understand not just events, but context, revealing where risks exist and if biosecurity protocols are consistently followed. Truck breach alerts, for example, enable busy veterinarians and biosecurity managers to spot the problems in near real time as opposed to after the fact. This production system-specific data is needed for high-quality, accurate future predictions.
Farms cannot skip this stage; knowing your own baseline is essential before accurate prediction is possible.
Stages 3 & 4: What will happen & System Self-adjustment
Building Real-Time Decisions and Actions: This is where the industry is heading—using predictive insights to anticipate challenges before they occur. Our current product roadmap is heavily focused on developing capabilities in these advanced stages. We are actively developing our Protocol controlled access technology to deliver early capabilities in Prescriptive Analytics Concurrently, we are developing advanced analytics, movement tracking, and machine learning algorithms to provide the Predictive insights necessary for farms to act quickly—often before a problem spreads.
By helping farmers and integrators move from reactive reporting toward proactive management, we are strengthening animal health and resiliency across the entire sector. We have entered 2026 better equipped, better staffed, and more focused than ever.
We aspire to enable the animal protein sector to “Do Biosecurity Differently” by harnessing the power of digital biosecurity tools to dramatically increase compliance and reduce disease risks and costs. The future of animal agriculture will be shaped by systems that learn, adapt, and support real-time decision-making.
