Offline-first by design
Run AI inference locally on an Android smartphone, without a network connection.
PocketSage is building an offline-first AI triage app for community health workers. Our working Android prototype explores on-device guidance without requiring an internet connection.

In low-connectivity environments, digital tools can be difficult to rely on. PocketSage is developing a working prototype to support community health workers in remote, rural, and displaced communities with structured triage guidance.
We're designing around limited bandwidth, practical workflows, and the importance of trustworthy information.

Our working prototype and development roadmap focus on three practical priorities.
Run AI inference locally on an Android smartphone, without a network connection.
Guide community health workers through short symptom questions and an urgency recommendation—not a diagnosis.
Keep patient information on the device by default, with cloud synchronization planned as an opt-in feature.

At the Artificial Intelligence and Public Health Conference in Baltimore, Chris Swift presented PocketSage's approach to offline-first AI triage for community health workers.
See photos & watch the pitch ↗Interested in the PocketSage mission, potential collaborations, or learning more about the concept? We'd welcome a conversation.
Contact our team ↗