Pre-conception is a massive unmet need
15%
of women in their reproductive years are either pregnant or trying to conceive
30%
of couples have trouble conceiving
75%
don't know the best time in their cycle for conceptive sex**
1in8
women trying to conceive then go on to seek fertility intervention with the average cost of IVF being $66'000
Meet the first FDA-cleared fertility tracking wearable
Worn only during sleep, the Ava bracelet tracks 5 physiological signals. It uses machine learning algorithms to extract from this data the 5 most fertile days of the menstrual cycle.
The device is 100% reimbursable.
For employers
Ava is scientifically proven to lower time to pregnancy, which can reduce the need to move on to costly or invasive fertility options.
For providers
A modern, AI-powered solution you can offer patients for managing their reproductive health
For individuals
Get pregnant faster with Ava's personalized fertility insight
Salient features of Ava
FDA cleared, CE-certified, GDPR data protection compliant
The most advanced technology to track fertile days – using more parameters & data
Detects more fertile days than urinary LH tests and more temperature shifts than oral thermometers
More accurate than traditional methods
Detects both opening & closing of the fertile window, and does so with 89% accuracy
Couples who time intercourse properly double their chance of pregnancy with Ava
Clinically proven to be 90% accurate at detecting the fertile window
Tracks 1M+ physiological parameters every night to provide women with personalized, actionable insight into their health
Detects 2X fertile days as LH ovulation tests
Nearly 30% of sub-fertile women report pregnancy within one year of using Ava Fertility
Success by the numbers
70k+
successful pregnancies
175k
satisfied customers
1mn
unique monthly visitors on platform
12
clinical studies with top global clinics
30+
acclaimed publications and presentations
10
patents
Every new success is a story worth celebrating
"Ava helps when fertility treatments don’t."
"Ava helped doctors identify the treatment I needed."
