Livestock Monitoring
AI-Powered Solution
AI-powered livestock platform delivering behavioral and health intelligence, combined with individual animal tracking and predictive insights to maximize welfare, productivity, and profitability.
Intelligent Behavioral Monitoring
with Computer Vision
Our AI-driven computer vision platform continuously analyzes livestock behavior to detect early signs of health issues that are invisible to the human eye. By modeling joint movements, gait patterns, posture, and each animal’s interaction with the herd, the system establishes a precise baseline of normal behavior.
When deviations occur—such as abnormal movement, reduced mobility, or social withdrawal—the system automatically flags the animal as potentially at risk. This enables farmers and veterinarians to identify problems days or even weeks earlier than traditional observation methods, reducing manual inspections, improving animal welfare, and significantly lowering economic losses due to late diagnosis.
Real-Time Health Monitoring
with Smart Sensors
Complementing visual intelligence, our solution integrates real-time physiological monitoring using smart sensors attached to each animal. Key health indicators—including body temperature, heart rate, weight, and activity levels—are continuously tracked and analyzed using advanced AI models.
By detecting subtle physiological changes, the system provides early warnings of disease, stress, or metabolic imbalance before symptoms become critical. Combined with automated alerts and individual animal health profiles, this approach enables proactive interventions, optimized treatment decisions, and data-driven herd management, ultimately improving productivity and reducing veterinary costs.
Digitalization and
Intelligent Livestock Management
Through digital ear tag technology and advanced artificial intelligence tools, we transform individual tracking data collected in the field into useful knowledge, allowing precise decision-making to optimize production and reduce costs. The platform is designed for daily use, alerting users to relevant changes, highlighting actionable information, and providing individualized monitoring that supports management decisions, with an emphasis on health, nutrition, and production.
Data obtained from digital tags is used to develop predictive models with performance forecasts, including weight gain analysis, health monitoring, and genetic traceability for breeding programs.
