Use Case
Nov 4, 2025
AI Donor Matching
A solution using AWS Rekognition revolutionized egg donor selection by matching intended parents with donors based on physical similarities. This transformed an emotionally intensive manual process into an efficient, data-driven experience.
AI-Powered Donor Matching
Fertility treatment is as emotional as it is medical. For intended parents selecting a donor, the process involves reviewing hundreds of profiles, comparing photos, and imagining which donor might produce a child that resembles them. This is a process that's both overwhelming and deeply personal.
A leading fertility network needed to streamline donor selection without losing the human element.
Liventus built an AI-powered matching system using AWS Rekognition that analyzes facial features and suggests donors with the strongest physical similarities to intended parents. The result: faster matches, higher satisfaction, and a dramatically improved patient journey.
AI Use: Why Intelligence Matters Here
Traditional donor selection required intended parents to manually scroll through donor databases, comparing subjective attributes like hair color, eye color, and height. This created a time-consuming process prone to decision fatigue and limited by the human ability to process visual information at scale.
AWS Rekognition can analyze facial geometry, identify patterns in features, and calculate similarity scores between intended parents and potential donors. It can process thousands of comparisons in seconds. This isn't about replacing human choice; it's about presenting better options faster so families can make informed decisions with confidence.
The AI handles the computational heavy lifting while preserving the deeply personal nature of the decision.
Intended parents still review profiles, learn about donors' backgrounds, and make final selections, but now they're looking at a curated set of matches rather than an overwhelming database.
Business Impact & Applications
Streamlined Donor Selection: Reducing time-to-match and improving patient experience
Higher Satisfaction: As confirmed by consistent positive feedback from intended parents
Competitive Advantage: Created technology that most clinics don't offer
Better Donor Utilization: AI surfaces matches that might have been overlooked
Adoption: Possibility to match prospective parents with children based on family characteristics
Sperm Banks: Help optimize donor selection for intended parents
Future of AI in Healthcare Patient Matching
Future systems could incorporate genetic compatibility screening, predict offspring characteristics with higher accuracy, and even simulate appearance outcomes using generative AI. The next generation of reproductive medicine will move beyond surface-level matching to comprehensive family planning support powered by multimodal AI.
Ready to Transform Your Donor Matching Experience?
See how AI-powered matching can accelerate donor selection while improving satisfaction for intended parents. Contact us for a free AI consultation and discover how computer vision can enhance your clinic's patient journey.