Predict behavioral change before it’s visible in your data
CentroidAI’s proprietary platform identifies which accounts, donors, patients, or alumni are about to change — months before it shows up in traditional analytics.
Eight products. One behavioral engine.
Each FyndEm product applies the same proprietary behavioral analysis engine to a specific industry — delivering early-warning intelligence that your existing tools can’t provide.
Plasma Donor Retention
Identify which donors are at risk of lapsing before they stop coming — and which lapsed donors are most likely to return.
Learn more →Patient Early Identification
Surface undiagnosed patients matching early-stage disease profiles — validated across 11 chronic disease models at 0.84–0.93 AUC.
Learn more →Surgeon Adoption Intelligence
Predict which surgeons and KOLs are highest-probability adoption targets — ranked by behavioral likelihood, not past volume.
Learn more →Consumer Churn & Growth
Predict which customers are about to churn, which are ready to grow, and generate AI-powered Facebook ads targeted by behavioral segment.
Learn more →Account Defection Prediction
Detect hospital account defection 3–6 months early using ERP order history. No IT integration required for the diagnostic.
Learn more →Alumni Giving Intelligence
Rank alumni by giving propensity — behavioral signals, not demographics. Built for phonathon programs and annual giving teams.
Learn more →Predictive Quality Intelligence
Predict which production lines are trending toward failure — and which supplier drift patterns precede quality events — before they happen.
Learn more →Supporter Retention
Predict supporter disengagement 90+ days before it happens. Focus limited outreach resources where they will have the greatest impact.
Learn more →From your data to a ranked action list
Every engagement begins with a retrospective diagnostic on your own historical data — before any forward commitment.
Export your data
A standard export from your ERP, EHR, CRM, or donor management system. No IT integration required.
We run the diagnostic
Our proprietary algorithm builds and validates the model on your historical data — showing what it would have caught before it happened.
You review the results
A Gold Standard retrospective showing accuracy, lead time, and the accounts or individuals the model correctly flagged.
Deploy with confidence
Live scoring, ranked action lists, and early warning alerts — delivered to your team’s existing workflow.
The retrospective proves it before you commit
We don’t ask you to trust a model you’ve never seen run on your own data. Before any forward deployment, we run a Gold Standard retrospective — building the model on your historical data and showing you exactly which losses it would have predicted before they happened.
The retrospective shows your team the accuracy score, the lead time, and the dollar value associated with accounts or individuals the model correctly flagged. You decide whether the numbers justify a deployment.
One platform, eight industries
Behavioral change follows the same patterns whether it’s a plasma donor, a hospital account, or an alumni donor.
See it on your data — before you commit
A 6-week diagnostic. Your historical data. A clear answer: does this work for us?