The Technology
Built on the data your AMS already generates. No new hardware. No installation. Just intelligence.
Built on AMS Data
Automated Milking Systems generate a continuous stream of per-cow, per-quarter, per-milking data. Conductivity changes, yield deviations, and behavioural signals are all there — they just haven't been connected to a predictive model designed specifically for the dairy health context. That's what we built.
Data → Model → Action
How the system works, end to end
AMS Data Collection
We connect directly to your Automated Milking System — Lely, DeLaval, GEA, BouMatic, and others. Every milking session generates conductivity readings, milk yield per quarter, milking duration, kick counts, and more.
AMS Data Collection
We connect directly to your Automated Milking System — Lely, DeLaval, GEA, BouMatic, and others. Every milking session generates conductivity readings, milk yield per quarter, milking duration, kick counts, and more.
ML Model Processing
Our model ingests this stream in real time and scores each cow for mastitis risk, hygiene deviation, and efficiency outliers. It learns your herd's individual baseline, so alerts are specific — not generic thresholds.
Farmer Action
Your herd manager receives a clear, prioritised action list: which cows to inspect, isolate, treat, or monitor more closely. Early intervention means lower treatment costs, less milk discard, and better outcomes.
Mastitis Prediction Before Clinical Onset
Clinical mastitis is expensive because it's caught late. Our model identifies the preclinical signature — the subtle pattern of conductivity, yield, and interval data that precedes an outbreak — and surfaces it before you'd notice anything wrong. That window is where intervention is cheapest and most effective.