Harvis Me™ · Early access
The hospital sees you for twenty minutes a year. Harvis Me watches the other 525,580 — sleep, activity, vitals, nutrition and 140+ biomarkers — and learns what normal looks like for you, not for a population average you were never in.
Built on the same record your hospital writes to. Not a separate app that knows nothing about you.
140+ biomarkers
Most lab reports hand you a number, a reference range and no opinion. Harvis Me shows you where you sit inside that range, which direction you are moving, and which two of the hundred-and-forty are worth doing something about this quarter.
Every marker is placed against its reference band, with the direction of travel since your last panel. The AI reads all 140 and tells you the short list — because a report nobody acts on is a report that was never worth taking.
2 of 140 need attention. The other 138 are fine — and it says so, rather than leaving you to work it out.
Personal baselines
A resting heart rate of 64 is unremarkable for the population and a warning sign for someone who has run at 52 for two years. Harvis Me learns your own band — then tells you when you leave it, weeks before a population range would have blinked.
Every point on that line is inside the population band. A standard report would have said "normal" for twelve straight months. Your own baseline is roughly a third as wide — which is why the rise in the last six weeks is visible at all.
The reason people subscribe
A consultation is twenty minutes and a memory test. How have you been sleeping? When did it start? What did the last panel say? Harvis Me answers those before you sit down — so the twenty minutes go on the decision, not the recap.
One reading, one old panel, and whatever the patient can remember. The doctor is deciding from a snapshot.
The doctor starts from the evidence. Months of your data, on the chart before you sit down — with consent you gave, and can withdraw.
Interface vignettes show illustrative data, not real patients or records.
What it noticed
Not horoscopes with a step count. Every observation names the data it was drawn from and how much of it there was — so you can disagree with it, which is the only way to end up trusting it.
Nights you were in bed before 22:45 averaged 47 minutes more deep sleep and a 4 bpm lower resting heart rate the next morning. Training load explained less of the variance than bedtime did.
The same seasonal dip appeared in your August panel two years running. Supplementation started in June would likely have held you inside range through September.
LDL down 11% in five months, against a typical 4–6% for the change you logged. Whatever you altered in March is working — worth keeping through the next panel.
One record, both sides of the door
This is the part a standalone wellness app cannot do. Harvis Me is the patient-facing end of the same record the ward wrote to — data flows down to your phone, and back up to the chart your doctor opens.
A wellness app that cannot talk to your hospital is a pedometer with opinions. This one writes to, and reads from, the record your clinicians already use — and connecting it is your choice, reversible at any time.
Works with
Harvis Me is the far end of the same record. What the ward wrote and what the engines found is what the patient sees at home.
Instructions, prescriptions and the follow-up date leave the ward as something readable on a phone, not a folded printout that gets lost.
Explore → 📋Feeds it BucketAI decides the nudgeThe recall a patient sees is the same cohort logic the front desk works from — one reason, stated once, in both places.
Explore → 🔬Hands off to Biomarkers come back in140+ markers tracked at home build the trend line their clinician opens at the next visit. Continuity in both directions, not a consumer app bolted on.
Explore →Book a 20-minute demo
No slide decks. We'll walk you through a live OPD consult, a discharge and a billing cycle — on your specialty, in your language.