Allura offers an AI‑powered period tracking app tailored for users with irregular menstrual cycles ranging from 21 to 90+ days. By applying machine‑learning models, it predicts period dates and correlates over 40 symptoms with individual cycle phases, all while keeping data entirely on the device with no account or cloud storage required.
Funding
Funding not disclosed
Founders
Product
Problem
People with irregular menstrual cycles often cannot rely on standard period trackers that assume a 28‑day cycle, leading to inaccurate predictions and difficulty understanding symptom patterns.
Solution
Allura offers an AI‑powered mobile app that predicts period dates for cycles ranging from 21 to 90+ days using machine‑learning models trained on irregular-cycle data. The app logs cycle dates, basal body temperature, moods, and over 40 possible symptoms, then correlates these inputs with individualized cycle phases to provide personalized insights. All data is stored locally on the user’s device, ensuring that health information never leaves the phone and eliminating the need for accounts or logins. Users can optionally import read‑only data from Apple HealthKit to improve prediction accuracy while maintaining privacy. The app’s interface presents predicted period windows and symptom trends, helping users track their hormonal rhythms without relying on cloud services.
Target Audience
Allura is aimed at individuals who experience irregular menstrual cycles and need a reliable, private tool to track periods and related symptoms, as well as clinicians who want accurate self‑reported data to support patient care.
Features
- Machine‑learning prediction engine optimized for 21–90+ day irregular cycles, including PCOS and stress‑related variations
- Correlation of 40+ logged symptoms and biometric data (e.g., basal body temperature, mood) with individualized cycle phases
- Fully on‑device data storage and encryption; no account creation or cloud sync required
- Optional read‑only integration with Apple HealthKit to enhance predictions while keeping user data private
- In‑app AI chat powered by Gemini API for general wellness and nutrition advice, isolated from cycle data
- Free‑forever pricing model with no hidden fees or subscription requirements