Pattervia is a behavioural decision layer for digital health teams. We’re building beyond fixed score-to-action rules, combining behavioural changes, personal context and intervention history to help teams decide who needs support, what kind, and when.
Hi Product Hunt! 👋 I’m Adi, the founder of Pattervia and a final-year PhD student in AI and human behaviour at the University of Auckland.
Pattervia grew out of a question: once a digital health team has someone’s data, scores and risk flags, how do they decide what support to offer next?
A missed check-in could reflect a changed work schedule, an inconvenient reminder time or a technical issue. Each might call for a different response—and maintaining rules for every situation can become difficult.
We’re building a behavioural decision layer that combines existing data, personal context and intervention history to suggest who needs support, what kind, and when. It’s designed to fit into the customer’s existing systems, with clear reasons behind recommendations and care teams retaining control.
The work builds on my research published in Nature portfolio journal npj Digital Medicine and JMIR mHealth and uHealth. We’re now looking for digital health design partners to help shape a useful first product.
I’d love to hear your experiences. 💚