A digital twin is a continuously updated virtual version of a real system. In dairy, that system might be an individual cow, a milking robot or the entire barn. The twin mirrors the real-time state of the animal or equipment it represents. When a cow walks to the feedbunk, her virtual counterpart records it. 

If your cows could speak, would you listen? It’s the kind of question that makes people smile at first – a whimsical thought you might share over coffee. But for me, it became a serious challenge. If animals are constantly communicating, and we fail to hear them, what opportunities are we missing – not just for better welfare but for better farming?

In a field outside Truro, Nova Scotia, a Holstein flicks her tail in the sunlight. The barn is quiet. The air smells of hay, damp earth and purpose. Above her, far above, three satellites glide invisibly across the sky. Together, they are measuring something that cannot be seen or smelled but is at the heart of the future of Canadian agriculture: methane.

By combining satellite-based methane data with AI-driven insights, we empower producers to identify emission hotspots, implement best-fit solutions and verify their impact.

Imagine stepping into your barn and understanding exactly what your cows are feeling – not by watching for obvious signs but by actually "hearing" their emotions. Every moo, bellow and low carries a hidden message, revealing whether a cow is content, stressed or reacting to its environment.

In Canada, the dairy sector is a major source of agricultural methane, placing it squarely in the spotlight as the country races to meet Intergovernmental Panel on Climate Change (IPCC) targets and Canada's net zero by 2050 commitment. However, the industry’s sluggish pace toward emission reductions raises serious doubts about achieving this goal.