Feanix uses genome sequencing and AI to predict dairy cow outcomes, scaling to 500K cows since August launch

Summary

Mitchell Angove's Feanix uses whole genome sequencing and AI to predict dairy cow health, productivity, and breeding outcomes across a farm's entire herd. The company sequences every cow on a farm, typically 3,000 animals, and combines genetic data with phenotypic information from computer vision, wearable sensors similar to Fitbits, weather patterns, milk yield, feed intake, and pregnancy status. An AI model trained on this data predicts a cow's lifetime trajectory with roughly 90% accuracy, including disease risk, milk production, and reproductive outcomes.

Dairy farms have accumulated dense sensor networks and monitoring systems over the past 30 years. Feanix translates that raw data into daily operational decisions. Farm workers now approach a computer terminal to ask what to do next; the system tells them which cows to move, milk, feed, or monitor.

The pricing model charges per cow per year. Top-tier breeding cows command valuations in the tens of millions of dollars, with semen production as their primary function. Elite cows trade actively in secondary markets.

Feanix launched in August 2025 and has reached approximately 500,000 cows across farms, about 5% of the US dairy cattle population of 10 million. Revenue velocity is steep: the company reports $2.5 million in weekly run rate as of late January 2026. Feanix raised a seed round of over $5 million led by Initialized Capital.

The bottleneck is not product-market fit or pipeline but headcount. Angove personally closes every farm, which does not scale. The company needs to hire sales and support staff to expand. With roughly 100 million dairy cows globally, most of the addressable market remains untapped.