Lab-accurate estrogen, progesterone and LH, measured at home over time. The years of hormone health your benefits never see.
Clinically validated · FSA/HSA eligible · Developed at Mount Sinai
Coverage becomes visible once a member enters clinical care. The months and years before that are invisible to the benefit system, and that is where the journey starts.
Trying
Tracking and guesswork. No objective data.
Uncertainty
Symptoms without answers. Self-funded.
Diagnosis
Specialist evaluation and workup.
Treatment
Medication, IUI, IVF, or hormone therapy.
The same gap runs longer in perimenopause, where coverage often starts at a prescription.
Usually procured as two separate point solutions. They are the same problem: hormones that move over time, measured once or not at all.
Invisible today
Whether ovulation is happening, and when to stop trying and start asking.
What Oova adds
Quantitative hormone data across cycles, and a clinician-ready report for that first appointment.
Invisible today
Whether symptoms track a real hormone pattern, and whether therapy is working.
What Oova adds
Readings across weeks instead of one draw, so the trend behind the symptoms becomes visible.
Built to extend. Hormone optimization and postpartum use the same measurement and reporting, and slot in here as research matures.
A joint white paper analysing real usage records from 2021 to early 2026, covering the phase of the journey no benefit reaches.
Observed utilisation
Journey length within the conception cohort
Read these three figures carefully. Every user in this cohort was included because they reported a pregnancy. The numbers describe how long the journey ran within that group. They do not estimate conception rates among Oova users generally.
What it shows: a real population exists before assisted reproduction, their need persists across cycles and years, and they carry the cost themselves.
What it does not show: any claim that monitoring caused pregnancy, avoided treatment, or reduced claims. No control group, no claims data. Employer pilots are designed to test that prospectively.
No blood draw, no lab visit. Results arrive as quantitative hormone values, not a smiley face.
A urine strip measuring estrogen, progesterone and LH together.
The phone camera returns real values, in plain language.
A HIPAA-compliant report she controls and brings to her own clinician.
Research partners
Oova is not a care provider and does not compete with the vendor already in your stack. It supplies the measurement they lack, at the stage they do not reach.
Works alongside existing vendors
Members keep their current platform or clinician. Oova gives them better data.
Engages earlier in the journey
Reaches members before a benefit activates, where the out-of-pocket spend sits.
FSA and HSA eligible
Already reimbursable, so it can be introduced ahead of a full benefit decision.
Member-controlled data
HIPAA-compliant. Employers never receive individual hormone data.
Low implementation lift
No clinical network to stand up, no claims integration to begin.
Built on published science
Peer-reviewed work with Mount Sinai and academic partners, publicly listed.
Oova and Flora are running employer pilots offering covered hormone monitoring, measuring access, engagement and member experience. Perimenopause pilots follow the same model.
For employers, brokers and benefits consultants, fertility benefit platforms, and women’s health partners.
Does this replace our fertility benefit?
No. It sits earlier than most fertility benefits reach, and works alongside whatever is already in place.
What data would our organisation receive?
Aggregate, de-identified access and engagement reporting. Never individual hormone data.
Who is eligible?
A defined population agreed before launch, such as members trying to conceive or a target age band.
How is it priced?
Per member per cycle of monitoring, not per enrolled life, so cost tracks actual use.
Can you demonstrate cost savings?
Not yet, and we won't claim otherwise. The research is descriptive. Testing cost effects is what the pilots are for.
How quickly can a pilot start?
No network to build and no claims integration needed, so timelines depend mainly on comms planning.