FemTech Software Development
Cycle and fertility tracking, perimenopause care, wellness communities, and subscription health programs, built with the sensitive-data privacy and clinical nuance the category demands.
Live women's health products serving real users today.
22%of subscription revenue is recoverable where retention is treated as product work rather than a marketing campaignModelled — see the return below
Live women's health products serving real users today.
Why Generic Software Fails FemTech
FemTech isn't a wellness app with a pink theme. It handles some of the most sensitive personal data there is, cycle, fertility, pregnancy, and menopause information, under HIPAA, GDPR, and a category of user trust that no generic health template respects. Cycle prediction is a real modelling problem, not a calendar. Care pathways have clinical nuance. Get the privacy or the domain wrong and you don't just lose users, you lose the trust the entire product runs on.
We build FemTech products where privacy and domain understanding are engineered in from the first commit: consent and data-minimisation by design, encryption of health data at rest and in transit, symptom and cycle logging that reflects how bodies actually work, and subscription and community features that keep users coming back. We understand the domain as well as the code, because in this category, that's the difference between a product people trust and one they delete.

Sensitive health data with no privacy foundation
Cycle, fertility, and pregnancy data is deeply personal, yet it's often stored like any other analytics event. One privacy misstep and the trust the whole product depends on is gone.
Cycle prediction that's really just a calendar
Generic templates count 28 days and call it prediction. Real bodies are irregular, and users notice immediately when the model doesn't reflect their actual patterns.
Clinical nuance flattened into generic wellness
Perimenopause, PCOS, and fertility journeys have real care pathways. Off-the-shelf content treats them as interchangeable wellness tips, and users in those journeys feel unseen.
Compliance treated as a launch-day afterthought
HIPAA and GDPR get bolted on right before release, forcing rushed rework. Consent, data minimisation, and the right to be forgotten can't be retrofitted cleanly.
Retention leaks because the product feels clinical
A cold, form-heavy experience doesn't earn a daily habit. Without community, warmth, and a reason to return, subscription churn quietly kills the business.
Legal exposure most teams never architect for
Cycle and fertility logs can be subpoenaed or demanded by law enforcement in some jurisdictions. If the data model wasn't built to minimise what's stored and disclosable, retrofitting that protection after a legal request lands is already too late.
What changes when FemTech software is built around the operation
BeforeCycle predictions run on a fixed 28-day assumption, so the app is wrong for the users whose bodies do not match the average.
AfterPredictions learn from each user's own logged history and re-forecast as the pattern changes.
BeforeTrial users meet the paywall before they have seen anything the product does well.
AfterTrial sequencing puts the first genuinely useful insight before the payment step.
BeforeCancellation is a single button with no attempt to understand or answer the reason behind it.
AfterCancellation routes into pause, downgrade and win-back paths based on the stated reason.
BeforeHealth data sits in the same store as everything else, so a privacy question becomes an engineering project.
AfterHealth records are separated and encrypted by design, so consent and erasure are configuration rather than migration.
What that is worth in a year
| Value driver | How it is calculated | Annual value |
|---|---|---|
| Subscription revenue retained | 2,000 subscribers × 8% monthly churn × $12 × 12 months × 20% of churn addressed | $46,080 |
| Trial conversion improvement | 600 trials/year × 8 percentage points of conversion × $12 × 12 months | $6,912 |
| Support load on billing and cancellation queries | 35 hrs/month × 12 months × $30 loaded cost | $12,600 |
| Total annual value | $65,592 | |
| Implementation cost | $48,000 |
Payback period: under 9 months
First-year return on the modelled figures: 37%
Figures are modelled from the reference operation above using our delivery experience, not measured from a client engagement. Your own subscriber count, price and churn will move every number here. Treat this as a way to size the opportunity, not as a result we are committing to.
How these figures were built
Reference operation: A subscription wellness product with 2,000 paying subscribers at $12 per month, losing 8% of them monthly.
Modelled over a 12-month period on the reference operation stated above. Retention effects assume the product changes described in the after column ship together; delivered separately they compound more slowly.

FemTech — Postnatal Recovery App
A postnatal recovery app with guided workouts, daily routines, and progress tracking for mothers rebuilding core strength after pregnancy.
FemTech — Cycle & Habit Tracking App
A Christian-centered cycle and habit tracking app combining faith, wellness, and personalized insights.
Cycle & fertility tracking
Prediction that adapts to irregular, real-world patterns, not a fixed 28-day calendar.
Privacy-by-design data layer
Consent, data minimisation, and encryption of health data at rest and in transit, built in from day one.
HIPAA & GDPR compliance
Right-to-be-forgotten, audit logging, and lawful processing engineered into the architecture, not bolted on.
Symptom & wellness logging
Logging flows that reflect how bodies actually work, perimenopause, PCOS, fertility, and beyond.
Community & content platform
Moderated wellness communities and care content that turn a tool into a daily habit.
Subscription & program engine
Plans, programs, and billing tuned for retention in a health-subscription business.
AI is not a feature we bolt onto an existing workflow.
It's part of how DevExcel designs, reasons through, automates, monitors, and improves industry software.
Adaptive cycle prediction
Models that learn each user's real patterns to predict cycles and fertile windows, accuracy that improves with use.
Personalised care guidance
Content and nudges matched to a user's stage and symptoms, privately and on-device where it matters.
Community moderation at scale
AI surfaces harmful or unsafe content so a sensitive community stays safe without an army of moderators.
Founder of a women's health startup
They have a clinically-informed product vision but need a real, privacy-safe app in front of users before the next funding milestone.
Product lead at a wellness subscription brand
An engaged audience, but a clinical-feeling app with churn that undercuts the subscription model.
Clinician-founder building a care pathway product
Deep domain expertise in perimenopause or fertility, but no software team to build the pathway into a product.
We've shipped live women's health products with real users, cycle tracking, wellness communities, and subscription programs. We understand cycle prediction as a modelling problem and care pathways as clinical nuance, not just as screens to build.
Privacy is engineered in from the first commit, consent, data minimisation, encryption at rest and in transit, and right-to-be-forgotten. HIPAA and GDPR are part of the architecture, never a launch-day afterthought.
Yes. We ship native-quality apps across iOS and Android from a single codebase, with secure health-data storage on device where it matters for privacy and trust.
We rescue stalled builds constantly. Send us the codebase and we'll give you an honest assessment in the discovery call, what's salvageable, what needs replacing, and a realistic recovery plan. No sunk-cost pressure.
AI is our method, not a feature we sell. AI-assisted architecture, automated test generation, and continuous review compress delivery into weeks, while senior engineers own architecture, review, and quality the whole way.
We don't disappear. Every engagement includes 24/7 support and ongoing ownership, we treat your product as ours after go-live, not as a closed ticket. You get a permanent tech partner, not a delivery-and-vanish agency.
Don't see your question? Let's talk.
Building in FemTech?
Let's talk about your project.
30 minutes. We'll discuss your specific challenge, show relevant work, and tell you honestly what we'd build.