Natural Cycles (NC° Fertility Algorithm)
Overview
Natural Cycles (NC° Fertility Algorithm) is an FDA-cleared birth control app that utilizes an AI-powered fertility algorithm. It combines statistical modeling with machine learning to generate individualized fertility predictions. [4, 7] The app helps users prevent or plan pregnancies by identifying fertile and non-fertile days based on basal body temperature and period data. [1, 13, 19, 21] Natural Cycles is designed to adapt to each user’s unique cycle, even if it’s irregular, and provides a daily fertility status. [16, 19, 20]
Beyond birth control, Natural Cycles offers modes for planning pregnancy, following pregnancy, postpartum recovery, and navigating perimenopause, aiming to support women throughout their reproductive journey. [4, 18] The app integrates with various wearable devices like the Oura Ring, Apple Watch, and Garmin devices for effortless overnight temperature tracking. [15, 16, 19] Natural Cycles emphasizes its commitment to data privacy, adhering to GDPR standards and FDA cybersecurity requirements. [6, 18, 19, 22]
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered fertility algorithm for individualized predictions
- FDA-cleared birth control functionality
- Modes for planning pregnancy, following pregnancy, postpartum, and perimenopause
- Integration with wearable devices (Oura Ring, Apple Watch, Garmin, NCu00b0 Band)
- Daily fertility status (Red for fertile, Green for non-fertile)
- Personalized cycle insights and trends
- Cycle history with customizable trackers
- Alerts for cycle irregularities
- Exportable Cycle Report for healthcare providers
- Advanced data privacy protection (encryption, pseudonymization, 'Go Anonymous' option)
Use Cases
- Hormone-free birth control
- Planning and maximizing chances of conception
- Tracking and understanding menstrual cycles
- Monitoring pregnancy development
- Supporting postpartum recovery
- Navigating perimenopause symptoms and hormonal changes
Details
| Category | OB/GYN AI, Patient Engagement & Education |
| Pricing |
Subscription-based
|
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated Natural Cycles is the first and only FDA-cleared birth control app, classified as a Class II medical device. [2, 11, 18] It has received six FDA clearances, including for its birth control app, integrations with Oura Ring and Apple Watch, over-the-counter availability, and its next-generation AI-powered NC° Fertility Algorithm. [4, 7, 10, 14] |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Internal Medicine, Obstetrics & Gynecology |
What the Web Says
Natural Cycles (NCu00b0 Fertility Algorithm) is a birth control and fertility tracking app that has garnered significant attention for being the first FDA-cleared app of its kind. It uses basal body temperature to identify fertile windows and has been reviewed by medical professionals, tech experts, and users across various platforms. The algorithm aims to provide a hormone-free birth control option or assist with conception.
Overall: MixedStrengths
- FDA-cleared for contraception, providing a level of trust and validation.
- Hormone-free birth control option, appealing to those who want to avoid hormonal side effects.
- Empowers users with knowledge about their menstrual cycle and fertility.
- Can be used for both preventing pregnancy and planning for pregnancy.
- User-friendly interface and integration with smart thermometers.
- Data privacy and security are generally well-regarded.
Limitations
- Requires consistent daily temperature measurement, which can be a burden for some users.
- Effectiveness can be reduced by inconsistent use, illness, or lifestyle factors.
- Higher upfront cost compared to some other fertility tracking methods or apps.
- Some users report a higher number of 'red days' (requiring abstinence or barrier methods) than expected.
- Not suitable for everyone, especially those with irregular cycles or certain medical conditions.
- Learning curve for understanding the algorithm's nuances and interpreting results.
Based on reviews from: FDA, Natural Cycles Official Website, Reddit (r/NaturalCycles, r/birthcontrol), G2, Capterra, Healthcare IT News, TechCrunch, The Verge, Medical News Today, OB/GYN reviews and articles
Last updated: 2026-08-05
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