Women's Health App Development Company
The failure mode in most women's health app builds is treating reproductive health data the same as general wellness data. It is not. Post-Dobbs, menstrual cycle dates, fertility history, and pregnancy status carry legal sensitivity that general HIPAA compliance does not address. Consumer apps built on ad-supported data models cannot credibly solve this problem. We start with the data architecture before any feature work, reproductive health data in a dedicated encrypted partition, no ad-tech SDK access to it, and a documented deletion path.
HIPAA-compliant data architecture with dedicated encrypted partition for reproductive health data and no third-party SDK access to cycle, fertility, or pregnancy information
ML-based cycle prediction algorithms trained on individual user data, with rule-based fallback for new users and irregular cycle handling
Fertility management with BBT charting, OPK logging, IVF protocol tracking, and wearable integration with Apple HealthKit and Oura Ring
Postpartum mental health with Edinburgh Postnatal Depression Scale screening, automated score calculation, and dual-path crisis protocol
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The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Using a consumer period tracking app for your employer wellness benefit but hitting data privacy concerns because Flo and Clue's business models depend on data monetization?
Building a fertility clinic patient app but finding that consumer fertility apps cannot handle IVF protocol tracking, medication schedules, or EMR integration?
Plain answer
RaftLabs is a women's health app development company for fertility clinics, OB/GYN practices, employer wellness programs, and digital health startups. We ship HIPAA-compliant cycle tracking, IVF protocol management, prenatal care, EPDS postpartum screening, and menopause support, with reproductive health data isolated from ad-tech from day one. Most teams launch a validated v1 in 14-18 weeks, then grow it.
What to remember
A woman logs her cycle in a consumer app. That date, her fertility history, her pregnancy status all sit in the same store the app's ad-tech SDKs can read, because the business model depends on it. In a 2022 review of 25 reproductive-health and period-tracking apps, Mozilla flagged 18 with a Privacy Not Included warning (Mozilla Foundation, 2022). Post-Dobbs, that store carries legal sensitivity general HIPAA compliance was never written to address.
Now picture a build that starts differently: reproductive health data in a dedicated encrypted partition, no third-party SDK access, a documented deletion path, all decided before the first feature is written.
That's not a feature you add later. It's the first thing you architect.
Women's health app development starts with the data architecture, before any feature work. From there we build the clinical workflows: cycle prediction, fertility tracking, prenatal care, then postpartum mental health screening.
Consumer apps built on ad-supported data models cannot credibly solve this, because the revenue depends on the data they would need to lock away. Flo and Clue built their businesses on data monetization; an employer wellness benefit or a fertility clinic cannot afford that trade.
We have shipped HIPAA-compliant healthcare software since 2015, including an AI-powered remote patient monitoring platform now operating at 80+ clinical sites. That HIPAA-aware, architecture-first approach carries into every build we scope, with most teams launching a validated v1 in 14-18 weeks, then growing it. When women's health is one part of a larger custom software build, or you want the full healthcare track record, the same approach carries across.
Everything on the left should already describe you. Even one thing on the right, and this isn't the build for where you are yet.
You operate as, or as a business associate of, a HIPAA covered entity: a fertility clinic, OB/GYN practice, employer wellness program, or funded digital health startup.
Reproductive health data privacy is an obligation you're accountable for, not an afterthought.
You need clinical workflows consumer apps don't handle: IVF protocol tracking, EPDS screening, or EMR-integrated lab results.
You want to compete on general consumer cycle tracking against Flo's dataset.
An ad-supported data model is central to how the product makes money.
You need it live next month with no scoping and no privacy architecture.
What we build
Tell us your clinical model, patient population, and where your current tools fall short. We will scope the build.
How it works
We map your clinical model, patient population, and where your current tools fall short. You leave week 1 with a written scope document and a fixed-price quote.
Reproductive data partitioning and clinical screening logic designed against your regulatory context.
Cycle prediction, fertility tracking, and screening tools built in parallel, tested against real clinical scenarios.
Clinical and support teams trained on the crisis escalation workflow before full rollout.
Proof
Where you land in that range depends on scope, not negotiation:
What it costs
HIPAA-aware data architecture and reproductive data privacy, built in from the start. Scoped and quoted before a line of code, then a validated v1 in 14-18 weeks.
Consumer apps built on ad-supported data models cannot credibly protect reproductive health data, because their revenue depends on it. This is a scoped project cost with the privacy architecture built first.
Starting investment
Starts at $70,000
Priced once we've scoped your data model and compliance requirements. Most teams launch a validated v1 in 14-18 weeks, then expand into fuller clinical workflows after the core app ships.
No hourly billing
Once we scope the work, that price is locked in writing. No hourly billing, no moving target after kick-off.
Team continuity
The team that scopes your clinical model is the team that ships it. No handoff after the contract is signed, no bait-and-switch.
Useful next steps
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Read moreThe intersection of clinical requirements and reproductive data sensitivity. Menstrual, fertility, and pregnancy data carries additional legal sensitivity under post-Dobbs state laws and FTC enforcement frameworks beyond standard HIPAA. Clinical requirements also differ: EPDS rather than PHQ-9 for postpartum screening, IVF protocol tracking for clinical fertility use, and algorithm approaches tuned for PCOS or perimenopausal irregularity.
Any app storing PHI as, or on behalf of, a HIPAA covered entity must comply with HIPAA. Reproductive health data goes further. The FTC Health Breach Notification Rule reaches consumer health apps outside HIPAA, Washington's My Health My Data Act (2023) requires separate consent to collect or share this data, and post-Dobbs state laws restrict its retention and disclosure. We design to the strictest regime that applies to you.
An MVP with cycle tracking and reproductive data privacy architecture costs $70K-$110K and delivers in 14-18 weeks. A full platform adding fertility, prenatal care, and wearable integration runs $160K-$280K. Enterprise builds with EHR integration start at $400K.
Consumer tracking apps making no clinical claims don't require clearance. Apps making a contraceptive efficacy claim, a diagnostic claim, or a treatment recommendation qualify as Software as a Medical Device and require 510(k) clearance or a De Novo request.
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Bring the rough workflow, half-built product, or messy brief. We will map the smallest useful first move, then send scope, timeline, and price in plain English.
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