Femtech apps that
survive discovery
End-to-end encrypted cycle data, geo-fenced storage, zero third-party ad-SDK exposure. The privacy stack the Flo and Glow FTC settlements made non-negotiable — generated, not retrofitted.
Zero-knowledge cycle data
No ad-SDK exposure by default
Geo-fenced + jurisdiction-aware
Who builds femtech on VertiComply
Femtech Founders
Pre-seed to Series A
You're building a period, fertility, menopause, or pelvic-health app. Your users care about privacy. Investors ask about Dobbs exposure. VertiComply lets you ship with a defensible privacy story from day one.
Fertility & IVF Platforms
Clinic-affiliated apps
You're sitting on cycle, hormone, and procedure data — some of the most sensitive PHI a clinic holds. HIPAA + state laws + clinic BAAs all overlap. VertiComply handles the stack so your app doesn't become the breach vector.
Women's Health Telehealth
Cross-state, contraception, reproductive care
You operate across states with different reproductive-care laws. You need cycle data that can't be subpoenaed in cleartext, geo-fenced storage, and audit trails that prove compliant deletion.
Privacy, handled
Designed for the post-Dobbs reality where cycle data has been subpoenaed in real cases.
End-to-end encrypted cycle data
Cycle entries, symptoms, fertility windows encrypted with customer-managed keys — your server can't read the cleartext.
Geo-fenced data residency
EU users → EU storage. UK → UK. US states with reproductive-care restrictions get separate handling per your policy.
No third-party ad SDKs touching app data
The Flo / Glow / Easy Healthcare FTC pattern is prevented by default. Analytics runs on de-identified aggregates only.
Subpoena-resistant architecture
When you can't decrypt cycle data without the user's key, you can't hand over cleartext under legal discovery. Documented limitation.
Hard delete with verification
Delete-on-request actually deletes — including backups and replicas — and produces a deletion certificate for the user.
TCPA + HIPAA + GDPR + CCPA-ready
Multi-regime consent capture, separate marketing and clinical authorizations, right-to-erasure flows for every supported jurisdiction.
Audit log of every PHI touchpoint
View, edit, share, delete — six-year retention, OCR-ready, designed to defend the architecture in court.
Zero-knowledge support backups
If your support team can't read cycle entries, neither can a future attacker or subpoena. Configurable per data class.
The stack we generate for you
| Component | Role | Generated With |
|---|---|---|
| Cycle data store | Periods, symptoms, fertility windows | AES-256 + customer-managed keys |
| Auth + identity | Sign-up, account recovery | No personal-identifier dependence |
| Communications | In-app messaging, clinician chat | BAA-covered Twilio + e2e where possible |
| Analytics | Cohort behavior, retention metrics | De-identified pipeline, zero PHI |
| Marketing | Email + push (opt-in only) | SendGrid Premier (BAA) + zero-PHI templates |
| Storage region | Per-user data residency | Geo-fenced AWS / GCP regions |
| Audit + observability | 6-yr retention, OCR-ready | Datadog Enterprise (BAA), no PHI in logs |
The DIY stack vs. VertiComply
Hand-rolling a defensible privacy posture takes months. We generate it.
| Build it yourself | With VertiComply | |
|---|---|---|
| Privacy posture for investors | Vague "we encrypt at rest" claim | Documented zero-knowledge architecture diagram |
| Ad SDK exposure (the Flo problem) | Easy to leak via default analytics SDKs | Zero third-party SDKs touch cycle data, by default |
| Geo-fenced storage | Multi-region setup takes weeks | Generated per-user region routing |
| Subpoena response | Plaintext PHI hand-over under court order | Cleartext genuinely unavailable to your servers |
| Hard delete | Soft-delete + backup lag → real data lingers | Verifiable deletion across primary + backups |
| Time to launch | 6+ months for a defensible stack | 3–4 weeks from idea to user-ready privacy posture |
Coming soon — femtech founder stories
Early femtech teams launching on VertiComply this quarter. Want yours featured? Email hello@verticomply.com when your app is live.
Frequently asked questions
Is period-tracking data PHI under HIPAA?
Only when it's held by or for a covered entity (clinic-affiliated app, insurer integration, etc.). A standalone consumer femtech app is typically NOT a HIPAA-covered entity, but the FTC Health Breach Notification Rule, state biometric laws, and post-Dobbs reproductive-care statutes still apply. Treat cycle data as if it were PHI — the legal exposure is similar.
How is this different from Flo or Glow?
Flo and Glow were FTC-sanctioned in 2021–2024 for routing cycle data to Facebook, Google, and ad SDKs. Their privacy posture was "we encrypt" — without preventing the leak. VertiComply generates an architecture where the cleartext cycle data never reaches third-party SDKs and never leaves the user's encrypted boundary by default.
Can law enforcement subpoena cycle data from us?
They can subpoena what you have. If your architecture means you don't hold cleartext — because cycle entries are encrypted with keys you can't access — then what you can hand over is ciphertext. That's a defensible, documented limitation. We generate the architecture and the documentation together.
Does this work for clinic-affiliated fertility platforms?
Yes. The HIPAA-covered side (clinic data, provider visit notes, ART procedure logs) runs with full HIPAA Security Rule controls. The consumer-app side (cycle tracker, symptom log) runs with zero-knowledge encryption. The two interoperate where the user explicitly consents to share.
What about pregnancy and miscarriage tracking?
These are the most sensitive entries post-Dobbs. The same zero-knowledge architecture applies. Default retention is opt-in only — the user must explicitly choose to retain pregnancy-related entries past a configurable window.
Can I do marketing to femtech users?
Yes, but marketing automation runs on opt-in flags only — never on cycle, fertility, or pregnancy data. Cohort segmentation uses de-identified attributes. The Flo / Glow FTC consent decrees are clear maps of what fails; we built around them.
Will my analytics still work without raw cycle data?
Yes. Aggregated retention, conversion, and feature-usage metrics work on de-identified data warehouses. The cohort metrics most investors and product teams want are achievable without ever exposing individual cycle entries to BI tools.
Don't be the next Flo settlement
Generate a femtech app with a privacy posture that holds up to FTC scrutiny, state subpoenas, and investor diligence. Zero-knowledge by default, geo-fenced by design.
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Deep dives
A 2026 engineering guide to HIPAA encryption requirements. What § 164.312(a)(2)(iv) actually demands, which algorithms pass audit, how to architect key management for PHI at rest, in transit, and in use — written for builders, not lawyers.
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Does GDPR apply to your US healthcare app? Yes, if you have even one EU user. Learn when GDPR triggers, how it overlaps with HIPAA, the 8 requirements that differ, and how to build compliant apps without doubling your work.
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Most healthcare app audit logs fail HIPAA § 164.312(b) because they miss three specific fields. Here is the exact schema that passes an OCR audit, plus retention rules, immutability patterns, and the 2026 shift toward testable audit controls.
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Real HIPAA enforcement cases, actual penalty amounts ($100 to $1.9M/year), what triggers OCR investigations, and how to prevent each violation in your healthcare app.
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BAA vs HIPAA explained in plain English. What each one actually is, why they are not the same thing, who needs a BAA, when it is required, and what happens if you skip it.
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