Merlin transforms inline milk measurements into operational visibility. The same spectral scan that captures component data also monitors herd health, reproductive status, and nutritional efficiency — continuously, at every milking, without additional steps.
Somatic cell count and lactose are the primary inline indicators of udder health. At milking frequency, deviations appear long before clinical signs — giving veterinarians and herd managers a diagnostic window that bulk tank monitoring cannot provide.
A cow trending upward in SCC across consecutive milkings is a different signal from a single elevated reading. Continuous data makes that distinction legible and actionable.
Inline progesterone monitoring supports reproductive visibility without relying only on activity data or scheduled manual checks.
Progesterone is the most direct biochemical signal of reproductive status. Its rise and fall encodes estrus, conception, early pregnancy, and disorders with a precision that activity-based monitoring alone cannot match.
Inline progesterone at milking frequency allows heat detection to be automated and physiologically grounded. Pregnancy can be confirmed weeks earlier than traditional ultrasound scheduling allows. Disorders surface while intervention is still practical.
Component payment programs reward fat and protein content. Continuous individual-cow data creates a feedback loop that monthly testing cannot — ration responses visible in days, not at the next test cycle.
See how component levels respond to feed changes at the individual cow and group level within days. Make adjustments with real data rather than waiting for the next DHIA result.
Identify which animals, groups, and periods drive quality — and which dilute premiums. USDA component pricing directly monetizes improvements in butterfat and protein at the cow level.
Lactose is a reliable early indicator of subclinical mastitis and metabolic stress — often declining before SCC rises visibly. Continuous monitoring captures this window.
The same measurement infrastructure that serves operational decisions also serves research objectives and supply chain quality programs — without additional instrumentation.
Traditional research is constrained by sampling frequency. Inline measurement at milking frequency — individual cow, every event — produces datasets unavailable through conventional testing. That enables faster hypothesis testing, richer phenotypic characterization, and the ability to study dynamics that monthly sampling cannot resolve.
Processors currently receive component data from bulk tank averages collected intermittently. Inline measurement creates the possibility of real-time quality signals at farm level — routing decisions grounded in continuous data, quality programs supported by individual-cow history, and supply chain visibility that periodic sampling cannot provide.
Operational philosophy
Milk the cow.
Milk the data.
Every milking event already contains six distinct streams of operational intelligence. The biochemical signature of the milk encodes component composition, udder health status, reproductive cycle, and nutritional efficiency — simultaneously, at every cow, at every milking. Continuous inline measurement is the infrastructure to extract it.
The data pipeline is fully automatic. No sample handling. No manual steps. No laboratory wait.
During a standard milking event, milk flows through the Merlin sensor. No diversion. No additional steps in the cow path. No change to existing parlor routine.
Near-infrared spectroscopy captures the molecular signature of the milk. Six parameters are derived from a single spectral scan and attributed to the individual cow.
Calibrated values are processed and stored. Longitudinal records are built cow by cow, milking by milking — continuously updated and available through the platform interface.
Alerts, trends, and reports are delivered to the right role — producer, nutritionist, veterinarian, or processor — in the format they need to act on the data.
We’re working with a focused group of producers, processors, veterinarians, and researchers ahead of commercial launch. If your operation could benefit from continuous inline milk intelligence, we’d like to talk.