Reduce Organ Waste with AI
Smarter Offer Optimization
ML models that predict acceptance and optimize offer sequences
8
Average Offers
Before an organ is accepted
19%
Discard Rate
Organs recovered but not transplanted
~6hrs
Time Lost
To sequential offer rejections
The Offer Problem
Sequential Rejections
Offers made one at a time, waiting for each decline
Viability Window Shrinks
Each rejection burns precious hours of organ life
Suboptimal Matching
Best candidates not always offered first
No Acceptance Prediction
Gut feel instead of data-driven decisions
AI-Powered Solution
Acceptance Probability Scoring
ML models trained on historical offer data
Optimized Offer Sequences
Prioritize highest-probability matches first
Viability Window Management
Factor remaining time into every decision
Decision Support Dashboard
Real-time insights for coordinators
50%
Fewer Offers Needed
3+ hrs
Time Saved Per Organ
30%
Lower Discard Rate
More
Lives Saved
AI that optimizes for life, not just logistics