"RaftLabs elevated my ideas and brought them to life when everything seemed impossible."
Grady Lakshmono
CoFounder, Moka (acquired by Gojek) & Gula (acquired by Runchise)
Women's Health App Development Services
Women's health apps built around clinical requirements, not consumer assumptions
The failure mode in most women's health app builds is treating reproductive health data the same as general wellness data. It is not. Cycle dates, fertility history, and pregnancy status need stronger protection than a general wellness profile. 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.
Data architecture with a dedicated encrypted partition for reproductive health data and no third-party SDK access to cycle, fertility, or pregnancy information
ML-based cycle prediction 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 screening with the Edinburgh Postnatal Depression Scale and clinician notification workflows
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
01
Using a consumer period tracking app for your employer wellness benefit but hitting data privacy concerns you cannot resolve inside a consumer product?
02
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 build cycle tracking, IVF protocol management, prenatal care, EPDS postpartum screening, and menopause support, with reproductive health data isolated from ad-tech from day one.
What to remember
- Reproductive health data lives in a dedicated AES-256 encrypted partition with no third-party analytics, advertising, or attribution SDK access.
- Cycle prediction starts rule-based and transitions to an individual ML model as data accumulates, returning a prediction range rather than a point date for irregular cycles.
- Cost follows scope, and every engagement is scoped and quoted in writing before development starts.
- Trust and revenue come from charging for the product, through subscriptions or employer plans, not from selling data.
- A small startup competes by specialising deep on one problem, like IVF support or menopause care, not by serving everyone.
The data model is the product decision. Everything else is downstream.
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). After Dobbs, that store is a liability no clinic or employer wellness program can accept.
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 apps built around clinical requirements, not consumer assumptions
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. An ad-supported consumer app is the wrong foundation for an employer wellness benefit or a fertility clinic.
We have shipped healthcare software since 2015, including the Galen telehealth platform documented below. That architecture-first approach carries into every build we scope. 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.
This works when reproductive data privacy is a requirement you own.
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.
A fit
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.
Not a fit
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.
The first decision is not what to build.
It is whether software is the right answer at all. We use four possible recommendations before discussing a development scope.
- 01
Buy
Choose a maintained product when it handles the core patient care operations workflow and the remaining gaps can be solved with configuration, a connector, or a small process change. Paying for software you do not have to maintain is often the better trade.
- 02
Repair
Keep the existing product when users still get value from it and the code can be understood safely. Start with evidence: where the code lives, how the data is organized, what is tested, which outside services it depends on, who can access what, and how updates go live.
- 03
Build
Own the system when patient care operations shape margin, customer experience, speed, or a product customers pay for. Start with one complete path and the system connections that path cannot work without.
- 04
Wait
Do not turn a changing policy into permanent software. Stabilise the rules, name the workflow owner, and measure the cost of the current process before paying for a product.
Not sure which path is yours? Bring it to a 30-minute call. Leave with the answer in writing.
What we build
The clinical workflows, on top of a privacy architecture built first.
Period tracking and cycle prediction
A rule-based model transitions to an individual ML model as data accumulates, returning a prediction range rather than a point date for irregular cycles common in PCOS and perimenopause.
Fertility management and IVF tracking
BBT charting and OPK logging for consumer use, with IVF medication scheduling and EMR-integrated lab result display for fertility clinic use, plus wearable integration with Apple HealthKit and Oura Ring.
Prenatal care and pregnancy tracking
Week-by-week milestones, kick counters, and lab result access with role-based visibility, transitioning to postpartum EPDS screening at the expected delivery date.
Postpartum mental health screening
EPDS administered as a structured digital questionnaire, with results routed to the clinical team and escalation paths for high-risk responses.
Menopause and perimenopause support
Validated Menopause Rating Scale and Greene Climacteric Scale instruments with telehealth integration and longitudinal data retention across the multi-year timeline.
Reproductive data privacy architecture
A dedicated encrypted partition with no third-party SDK access and a documented data deletion path.
Have a women's health app project?
Tell us your clinical model, patient population, and where your current tools fall short. We will scope the build.
How it works
From scope to live women's health app
- Phase 101
Clinical model and data scoping
We map your clinical model, patient population, and where your current tools fall short. You leave the first phase with a written scope document and a fixed-price quote.
- Phase 202
Privacy architecture and clinical workflow design
Reproductive data partitioning and clinical screening logic designed against your regulatory context.
- Phase 303
Build and integrate
Cycle prediction, fertility tracking, and screening tools built in parallel, tested against real clinical scenarios. You review working builds at each milestone.
- Phase 404
Launch and clinical team training
Clinical and support teams trained on the crisis escalation workflow before full rollout. Launch stays controlled until the core workflows are dependable.
Proof
Adjacent proof: HIPAA-compliant clinical delivery
- 01
Nurse-Assisted Telehealth Platform
This is neighbouring healthcare work, not a women's health build, but the discipline is the same. We built Galen, a nurse-assisted HIPAA-compliant telehealth platform: a clinic nurse operates the exam camera, otoscope, and digital stethoscope while a remote doctor directs the exam and e-signs the prescription at close.- clinics onboarded in 12 weeks
- 50+
- concept to launch
- 14 wks
- 02
GrantHub indexes 1,600+ active grants across 21 countries so SMEs stop missing funding they qualify for
GrantHub gives businesses a single place to filter 1,600+ active grants and tax credits across 21 countries by country, industry, and business type.- active business grants indexed
- 1,600+
- countries covered in one search
- 21
- average time to find relevant grants
- 10 min
- 03
Custom LMS development case study: building Sekou, a French-first school management platform for K-12 schools in French-speaking West Africa
A French-first school management platform and LMS for K-12 schools in West Africa. Attendance, marks, fees, and role-based portals for administrators, teachers, students, and parents, built by a six-person RaftLabs team over about six to seven months.- students supported per school
- 4000+
- people: 4 engineers, QA, and a PM
- 6
- built around Francophone school structures
- French-first
What it costs
Every project starts at $10000.
HIPAA-aware data architecture and reproductive data privacy, built in from the start. Scoped and quoted before a line of code.
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 $10000
Priced once we've scoped your data model and compliance requirements. Teams expand into fuller clinical workflows after the core app ships. After a 30-minute call, you get a written build, buy, repair, or wait recommendation plus first-phase direction. Free, whether or not you build with us.
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.
Consumer app or purpose-built build
| Consumer app | Purpose-built build | |
|---|---|---|
| Data store | Cycle dates, fertility history, and pregnancy status sit in the same store the app ad-tech SDKs can read | Reproductive health data in a dedicated encrypted partition, with no third-party SDK access and a documented deletion path |
| Business model | Ad and data monetization | Paid subscriptions, freemium-to-premium, or B2B employer plans, charging for the product instead of the data |
| Trust | After Dobbs, that store is a liability no clinic or employer wellness program can accept | Data protection decided before the first feature is written |
Proof
What clients say about working with RaftLabs
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
Work with us
Tell us where the work is stuck.
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.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.
Common questions
Two things: the data and the clinical workflows. Cycle, fertility, and pregnancy data needs stronger protection than a general wellness profile, and the workflows are specific: EPDS for postpartum screening instead of general depression questionnaires, IVF protocol tracking, and prediction approaches that handle irregular cycles. We start with the data architecture, then build the clinical workflows on top of it.
That depends on how the app handles health data and who it serves. We design the data architecture around the strictest requirements that apply to your situation, and document it. Your legal advisers confirm which regulations apply; we implement what they approve.
Cost follows scope: the data model, clinical workflows, integrations, and compliance evidence. Every engagement is scoped and quoted in writing before development starts, so you see the price before you commit. The 30-minute call is free and leaves you with a written first-phase direction.
By designing the data out of reach. Reproductive health data lives in a dedicated encrypted partition with no third-party SDK access, and the app collects only what the clinical workflow needs. Ask any vendor which third parties can touch the data, and how deletion works in practice.
By charging for the product instead of the data: paid subscriptions, freemium-to-premium, or B2B employer plans. Ad and data monetization undermines the trust a health app needs to retain users. The business model is a product decision we make with you during scoping.
Only by specialising. The big apps serve everyone; a new product wins by going deep on one problem, like IVF support or menopause care. Start with an adaptive cycle-learning core and fast daily logging, and design predictions as ranges rather than exact dates.
Clearance depends on the claims the app makes: pure tracking is different from contraceptive efficacy or diagnostic claims. This is a regulatory determination for you and your legal advisers, not a development decision. We build to the requirements your advisers approve.
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