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
Request a Demo