Using AI to Tackle Chronic Disease at Scale
Chronic diseases like Parkinson’s, diabetes, and autoimmune disorders need more than awareness — they need a step-change in how fast and efficiently funds are raised and patients are found.
Bridging AI and the foundations fighting chronic disease
Donor intelligence and AI are already helping nonprofits find and keep better donors, increase net revenue, and cut acquisition costs without burning out their teams.
CentroidAI is a donor intelligence platform originally built for life sciences, where it helps organisations identify high-yield plasma donors and clinical trial patients using advanced AI models. The same engine that predicts which plasma donor is about to lapse — or which patient has early Parkinson’s before clinical diagnosis — can help disease-focused foundations find their next great donor before they give to a competitor.
The CentroidAI Foundation initiative exists to make that technology accessible to the organisations fighting the diseases CentroidAI’s clinical models are designed to detect: Parkinson’s, Type 2 Diabetes, Heart Failure, ALS, Multiple Sclerosis, and more.
“Find more donors like your best donors — and reach them before they drift away. That is the same problem whether you are a plasma centre or a disease foundation.”
The same AI that finds patients also finds donors
CentroidAI’s clinical models identify patients with undiagnosed chronic conditions years before traditional diagnosis. The behavioural patterns that predict early disease onset are structurally similar to the patterns that predict donor giving behaviour — both involve identifying individuals whose future actions are already visible in their present-day data.
For a foundation raising funds for Parkinson’s research, this creates a powerful double role for CentroidAI: identifying the patients who need the research, and identifying the donors who will fund it.
This is not a generic fundraising platform. It is a precision tool for organisations whose mission is directly connected to the diseases CentroidAI’s models were built to detect.
Conditions we model — foundations we can serve
Each of these conditions has a foundation community raising funds for research and patient services. Our AI models are validated on real-world clinical data for each.
The scale of the problem — and the opportunity
Disease foundations collectively raise billions each year. A fraction of that spend goes toward finding the right donors. AI changes that ratio.
Three ways AI changes foundation fundraising
The same behavioural intelligence that predicts plasma donor churn and clinical disease onset can transform how disease foundations find, retain, and engage their donors.
Find your best donors before they give elsewhere
Our models identify which lapsed donors are most likely to give again, which major gift prospects are hidden in your mid-level file, and which new prospects look most like your highest-value current donors.
Retain donors at risk of lapsing
60–90 days before a donor lapses, the model flags them. Your team can intervene with a personalised touchpoint rather than an expensive re-acquisition campaign. Prevention costs a fraction of recovery.
Connect donors to your mission through patients
For foundations whose mission is tied to a specific disease, CentroidAI can identify which donors in your file have a likely personal or family connection to that condition — deepening the mission alignment of your ask.
Partner with us on the mission
Whether you are a disease foundation, a healthcare nonprofit, or an organisation raising funds for chronic disease research — we want to understand your programme and show you what is possible.