PreSquared Selected for a2 Collective National Institute of Aging Award
My business partner Ian Stockwell PhD and I are proud to share that our company PreSquared has been selected for the fifth cohort of a National Institute of Aging award, through the a2 Collective, a highly competitive program advancing AI and aging with other teams from Johns Hopkins, UMass, and UPenn. Thank you to Ann Wiker, the Johns Hopkins AITC, Phillip Phan, and Esther Oh for their support of this work.
More Than an Announcement
For us, this is more than an announcement. It is our third non-dilutive funding win, following TEDCO Maryland Innovation Initiative Phase 3 Company Formation (thank you to Abi Kulshreshtha and Griffin St. Louis) and UM-BILD (thank you to Alastair Mackay), and it is another strong signal that our pivot from a single-model company to a broader platform strategy is resonating.
At a time when most of the conversation around AI is centered on generative tools, our work remains grounded in a different but equally important reality: healthcare needs statistically robust predictive models that can actually be deployed, trusted, and used in the real world. Too many valuable models stay trapped in papers, pilots, or isolated environments because the last mile of implementation is still too slow, too custom, and too expensive.
What PreSquared Is Building
That is the problem PreSquared is solving with MAPI, our model-agnostic platform for predictive medical analytics. MAPI is the infrastructure layer that helps bring validated models into real care environments, especially in aging and value-based care settings where caregivers need better ways to prioritize caseloads, identify patients who need urgent attention, and intervene earlier when frailty and age-related decline begin to show up in the data.
This latest award moves that work forward in a meaningful way. It strengthens our effort to bring aging-related predictive models onto the platform, including our ongoing work with partners at CRISP (Marc Rabner and Megan Priolo), Ryan Snoots and John Kaelin, and the Sirota Lab at UCSF (Marina Sirota and Alice Tang). It reinforces our belief that the future of healthcare AI will belong to teams that can bridge rigorous predictive science with practical workflow integration.
What This Means for the Market
This award also comes at an important moment for the company. In parallel, we are in active conversations with a 2 million-member healthcare system about bringing their predictive models onto the PreSquared platform. That combination — academic model partnerships on one side and real operating environments on the other — is exactly where we believe the market is heading.
This cohort was highly selective, with less than 10% of teams awarded, which makes the recognition especially meaningful to us and to the partners who have helped shape this work.
"This award is another important validation point for PreSquared and for the platform strategy we have been building toward. We have now shown, across three non-dilutive funding wins, that there is real belief in our ability to turn strong predictive analytics into practical tools that can create value for care organizations, caregivers, and the patients they serve."
— Chris White, Co-Founder, PreSquared
"What matters to us is not just building accurate models. It is making sure rigorously developed predictive methods can be translated into environments where they can actually support better decisions, better prioritization, and better outcomes."
— Ian Stockwell PhD, Co-Founder, PreSquared
Acknowledgments
I'm grateful to the a2 Collective, the Johns Hopkins AITC, UMass AITC, Penn AITC, and the many collaborators, advisors, and supporters who helped us reach this point — including TEDCO, UM-BILD, UCSF, and others who have been part of the journey.
Get in Touch
If you are:
- building predictive models in aging, frailty, ADRD, or related domains
- leading a value-based care organization that wants to deploy practical predictive tools
- investing in the future of applied healthcare AI