The Science Behind Cyla
Cyla is built on a foundation of reproductive health research, advanced machine learning, and clinical expertise. Here is how we turn menstrual science into personalized predictions you can trust.
Our Approach
Three pillars underpin everything Cyla does: rigorous science, intelligent technology, and expert clinical oversight.
Evidence-Based
Every feature in Cyla is grounded in peer-reviewed research on menstrual health, reproductive biology, and hormonal cycles. We reference established medical guidelines from ACOG, WHO, and FIGO to ensure our cycle phase information, symptom correlations, and health insights reflect the latest scientific consensus. Our content is reviewed by medical professionals before it reaches you.
AI & Machine Learning
Cyla's prediction engine uses advanced machine learning models trained on anonymized, aggregated cycle data patterns. Unlike rule-based calculators that assume a standard 28-day cycle, our AI builds a personalized model for each user that adapts to irregular cycles, lifestyle factors, and individual biological variation. The result is predictions that improve in accuracy with every cycle you track.
Medical Advisory
Our development process is guided by a medical advisory board comprising OB-GYNs, reproductive endocrinologists, and women's health researchers. Every algorithm update, health insight, and educational content piece is vetted by clinical experts to ensure medical accuracy. This collaboration between technologists and healthcare professionals is what sets Cyla apart from generic tracking apps.
How Predictions Work
From raw data to accurate predictions, here is the four-step process Cyla uses to learn your unique cycle and deliver personalized forecasts.
Data Collection
When you log your period dates, symptoms, flow intensity, and other health markers, Cyla securely records each data point. The more consistently you log, the richer your personal health dataset becomes. Even basic period tracking provides enough data for initial predictions, while detailed symptom logging unlocks deeper pattern recognition.
Pattern Recognition
Our algorithms analyze your historical data to identify recurring patterns in your cycle length, luteal phase duration, period length, and symptom timing. The system detects both regular rhythms and meaningful variations, distinguishing between normal biological fluctuation and significant changes that may affect upcoming predictions.
Model Training
Using your identified patterns, Cyla trains a personalized prediction model specific to your body. This model accounts for your average cycle length, typical variation range, and phase-specific characteristics. After three complete cycles, the model achieves high-confidence predictions. The model continuously retrains as new data arrives, keeping predictions aligned with your current biology.
Prediction Delivery
Your trained model generates predictions for upcoming period dates, fertile windows, and ovulation timing. These predictions are displayed on your home screen, calendar, and delivered through optional notifications. Each prediction includes a confidence indicator so you know how reliable it is. As your model matures, prediction windows narrow and accuracy increases.
Privacy & Security
Your menstrual health data is some of the most sensitive information you can share with an app. We engineered Cyla from the ground up with privacy as a core architectural principle — not an afterthought.
AES-256 Encryption
All your health data is encrypted at rest and in transit using AES-256, the same encryption standard used by financial institutions and government agencies. Even in the unlikely event of a data breach, your information remains unreadable without your unique decryption keys.
On-Device Processing
Sensitive computations and pattern analysis happen directly on your device whenever possible. Your raw health data does not need to leave your phone for Cyla to generate predictions and insights, keeping your most personal information under your physical control.
Zero Third-Party Sharing
We never sell, license, or share your health data with advertisers, data brokers, insurance companies, or any third party. Your cycle data exists solely to serve you. There are no hidden data partnerships and no fine print that compromises your privacy.
GDPR Compliant
Cyla is fully compliant with the General Data Protection Regulation (GDPR) and follows international data protection best practices. You have the right to access, export, or permanently delete all your data at any time — no questions asked.
Medical Advisory Board
Cyla is developed in collaboration with leading OB-GYNs, reproductive endocrinologists, and women's health researchers who ensure every feature meets clinical standards.
OB-GYN Review
Board-certified obstetricians and gynecologists review our cycle prediction algorithms, phase-based health insights, and symptom correlation models to ensure clinical accuracy and safety.
Research-Informed
Reproductive health researchers help us stay current with the latest scientific findings on menstrual cycle variability, hormonal influences, and fertility biomarkers. Our models are updated as new evidence emerges.
Content Accuracy
Every piece of health education content in Cyla — from phase descriptions to symptom explanations to the AI assistant's responses — is fact-checked against peer-reviewed medical literature before publication.
Important: Cyla is a wellness and tracking tool, not a medical device. Our predictions and insights are designed to help you understand your body, but they should not replace professional medical advice. Always consult your healthcare provider for medical concerns.
Science-Backed Tracking, In Your Pocket
Experience the difference that evidence-based AI makes. Download Cyla and get predictions that actually understand your body.
