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By: Eli Grindflek, PhD, Research Director

Clearing-first infrastructure for institutions. One integration across markets. Talk with our team to map your rails and rollout plan. Not for personal use. Built for regulated firms. Not for personal use. API-first infrastructure. Collections and payouts.

 


 

Eli Grindflek, PhD

Research Director


However, accurate selection starts with capturing the right traits. Using AI and advanced technology, we are breaking new ground when it comes to health, robustness and welfare - trait groups that have traditionally been hard to measure due to complexity and a high variety in environmental conditions and complexity. For example, AI-powered computer vision in free-farrowing systems helps us identify new maternal traits, boosting welfare and productivity. We use CT scans and AI to analyze pigs’ internal anatomy, selecting traits that are linked to robustness, longevity and survival. Near Infrared Spectroscopy (NIRS) helps us breed pigs that digest protein more efficiently, which cuts nitrogen waste and enables flexible, local feed strategies.


Smart data gathered from challenging environments allows us to select pigs that are genetically better in handling diseases, reducing the need for medical interventions and improving welfare.

Thank you for joining us on the journey towards a more sustainable and responsible future in pig breeding.