For patients
A simple, sustainable habit
Frequent, numberless check-ins reveal each person’s trend without judgment or friction.
Behavioral intelligence for obesity careThe drug works.
The drug works.
Behavior fails.
We address that.
Ew2health turns patient behavior into early insight on adherence, dropout risk, and treatment response.
GLP-1 DROPOUT
65% / year
AVG. WEIGHT LOSS ON GLP-1
15–20%
REGAIN AFTER STOPPING
~⅔ in 1 yr
Adherence forecast
On track · 14 days
The retention problem
Starting treatment is not the same as staying on track.
When engagement fades, outcomes, continuity of care, and program value decline with it. The warning signs exist, but conventional monitoring sees them too late.
Ew2health monitors behavioral signals to predict adherence, dropout risk, and treatment response up to 15 days ahead — while there is still time to act.
US Patent 11,633,160 · Predictive Behavioral Analytics
65%
annual GLP-1 treatment dropout
45%
patient lifetime value at risk
Sinque · Predictive Behavior Analytics
One signal. Two interfaces.
Sinque connects an emotionally safe patient experience to a clinical workspace. Weight is the first signal; glucose and fitness extend the same predictive architecture.
For professionals
A clear view of who needs attention
Early disengagement, trajectory changes, and 15-day forecasts help teams focus intervention where it matters.
Built for the care ecosystem
Predictive retention intelligence, wherever care happens.
Validated science · Connected ecosystem
Built to turn continuous signals into better decisions.
RocheGarminMayo Clinic Platform