Milk Diagnostics is developing instrumentation that brings near-infrared spectroscopy out of the laboratory and into the milking parlor — delivering real-time component and health data without disrupting existing operations.
The measurement happens as part of the normal milking routine. No extra steps. No sample collection. No waiting.
At each milking, milk passes through the inline analyzer as part of the standard parlor process. No diversion, no sample tube, no additional handling required.
Near-infrared light passes through the milk sample. Specific wavelengths are absorbed by specific molecules. The resulting spectrum encodes fat, protein, lactose, SCC, MUN, and progesterone simultaneously.
Calibrated component values are attributed to the individual cow and delivered through the platform — available to producers, nutritionists, and veterinarians at milking frequency, not monthly.
Near-infrared spectroscopy has been the analytical standard for milk composition since the 1970s. It measures molecular absorption directly — fat, protein, and lactose each absorb NIR light at known, characteristic wavelengths. The measurement is physical, not estimated.
What has historically required a laboratory instrument and sample preparation, Milk Diagnostics is developing for continuous inline deployment — capturing the same quality of data at parlor throughput, at every milking event, without consumables or manual steps.
The result is a measurement model that is fundamentally different from periodic bulk tank sampling: continuous, individual, and immediate.
Each parameter is derived from the same spectral scan. No sequential sensors. No separate sampling events. The full picture, every milking.
Primary driver of component payment premiums. Continuous fat data enables real-time ration response tracking instead of waiting for monthly test results.
The second major component payment factor. Individual cow protein data enables genetic selection, grouping decisions, and nutritional benchmarking at scale.
A reliable udder health indicator. Declining lactose is often an early signal of subclinical mastitis, preceding SCC elevation and visible clinical signs.
The standard indicator of udder inflammation. Inline SCC at milking frequency means subclinical mastitis is detectable days earlier than traditional bulk tank monitoring.
MUN reflects dietary protein efficiency and nitrogen balance. Continuous MUN data enables nutritionists to make faster ration adjustments and reduce feed cost waste.
A direct hormonal marker of reproductive status. Inline progesterone measurement enables automated heat detection, early pregnancy confirmation, and disorder identification — without additional labor.
A monthly DHIA test delivers a herd average, days after the sample was collected. That model was defined by the constraints of laboratory logistics — not by what producers, nutritionists, and veterinarians actually need to make good decisions.
The opportunity is not to do lab testing faster. It is to eliminate the latency entirely — measuring inline, at milking frequency, so the data is available when the decision needs to be made.
That is what near-infrared spectroscopy deployed inline makes possible. The measurement science is established. The engineering challenge is integration, calibration, and reliability in a commercial parlor environment. That is where Milk Diagnostics is focused.
We’re working with a focused group of producers, processors, and industry partners ahead of our commercial launch. If you’d like to learn more or explore an early partnership, we’d like to hear from you.