SentinL captures your key vitals in a single, simple check, then learns what normal looks like for the person being cared for.
It’s 11pm. Mom said she’s fine.
Caring from a distance means making decisions in the dark. Check-ins give reassurance, not the changes that matter. And the data that exists is fragmented across separate devices, with no unified view.
Three further signals are also captured. Saved for a physician to review, or for research.
Every reading is shown against the person's own usual range. The result is always one of three plain states.
Every reading sits within the usual range. The only nudge is to keep checking in.
Something has moved above usual for the first time. The app suggests a repeat check, to tell a passing change from a real pattern.
A change has returned across check-ins. The app offers one action, share the report. It never diagnoses or directs care.
Most days
A continuous, multimodal record of real-world physiology—captured at home, where health actually unfolds. Synchronized at the source, anchored to each person's baseline. The ground truth that predictive healthcare has been missing.
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Or email amir@omnysense.com