RangeML
Machine learning models built for ranching—developed in-house and in collaboration with researchers and industry partners. Turning raw sensor data into actionable intelligence for livestock and land management.
Purpose-built models for livestock and rangeland.
Behavior classification
Models that classify grazing, resting, ruminating, walking, and supplement intake from raw accelerometer data. Detect behavior changes that signal illness, calving, injury, or stress—before they become emergencies.
Turn motion data into animal health intelligence.
Grazing & land use
Models that analyze location history to understand how animals use pastures, optimize stocking rates, predict rotation timing, and identify over- or under-utilized areas across a grazing system.
Data-driven range management that improves every season.
Predictive health
Early detection models that combine behavior, location, and environmental data to predict health events—bovine respiratory disease, calving windows, heat stress, and nutritional deficiency—days before clinical signs appear.
Intervene early. Reduce mortality. Lower treatment costs.
We don’t build models in a vacuum.
University & lab partnerships
We work with animal science researchers, veterinary institutions, and agricultural labs to validate models against ground truth. Real data from real herds, peer-reviewed methodology, published results.
Producer & partner data
Models trained on diverse environments—arid rangeland, mountain pastures, humid grasslands. We partner with producers and industry organizations to build models that generalize across breeds, climates, and management systems.
Edge & cloud inference
Lightweight models run on-device at the edge for real-time classification. Heavier models run in the cloud for predictive analytics and historical pattern analysis. Both feed back into the Overwatch dashboard.
If you’re a researcher working on livestock behavior, animal health, or rangeland ecology—we want to hear from you.
Let’s build better models together.
Whether you’re a researcher with labeled datasets, an industry partner with domain expertise, or an investor who sees the opportunity—we’d love to talk.