AI-powered biometric cattle identification using muzzle-pattern analysis — currently in development.
We develop advanced computer vision and AI systems to transform biological data into scalable digital intelligence for livestock operations.
Integrated edge computing, artificial intelligence and data systems designed for real-world livestock environments.
Computer vision and AI for animal identification, image analysis and livestock monitoring, designed for variable lighting, field conditions and real-world agricultural environments.
AI-powered biometric identification using muzzle and facial patterns, designed to support digital animal identity, traceability and integration with livestock management systems.
Integration with weighing systems, sensors, wearables and other connected devices, supporting data collection and future IoT applications in livestock operations.
Supported by the TECNOVA II innovation program, funded by FUNDECT. Focused on advancing research in automated livestock phenotyping and data-driven agriculture.
Deep learning and computer vision techniques for bovine facial structure, muzzle patterns and coat pattern recognition, including technologies developed in collaboration with Kerow.
AI-based systems can analyze movement and behavioral patterns to support livestock health and performance monitoring.
Local processing enables field operations even with limited connectivity, while synchronized data connects to cloud infrastructure for storage, analysis and system integration.
Our technology bridges the gap between biological systems and digital intelligence, enabling scalable, automated and data-driven livestock management.
Ready to digitize your operation or explore a partnership?