Veya
Veya (formerly Go Go Gaia) is a women's health app for iPhone and the web that unifies cycle, mood, sleep, symptoms, food, and wearable data into a single platform. It uses natural language processing to log entries from spoken or typed sentences and generates quarterly and annual "Health Wrapped" reports that reveal correlations between habits and wellbeing. The app syncs with Apple Health, Oura Ring, Garmin, and other wearables to track 350+ metrics.
- Digital Health
- Wellness & Fitness Technology
- Artificial Intelligence
- Software Only
- Healthcare Technology
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Women's health tracking is fragmented across multiple apps and devices, making it difficult to see how cycle, mood, sleep, and habits interact. Most period trackers focus on one metric in isolation, leaving users without actionable insights into their unique patterns and correlations.
Solution
Veya (formerly Go Go Gaia) provides an all-in-one women's health platform that tracks cycle, mood, sleep, symptoms, nutrition, and activity together. The app uses natural language processing to convert spoken or typed sentences like "oatmeal for breakfast, feeling anxious, took my magnesium" into structured entries across multiple categories. It connects with Apple Health, Apple Watch, Oura Ring, Garmin, MyFitnessPal, and other wearables to automatically sync 350+ metrics. Users can ask questions about their data, compare cycles, and receive personalized recommendations for workouts, sleep, and nutrition based on their cycle phase. The app generates quarterly and annual "Health Wrapped" reports that score physical, mental, sleep, and hormonal health together, revealing correlations between habits and wellbeing.
Target Audience
Primary users are women aged 18-50 who want to understand their menstrual cycle's impact on their overall health, including those tracking fertility, managing PMS, navigating perimenopause, or seeking to optimize fitness and nutrition around their cycle.
Features
- Natural language input that parses one sentence into meal, mood, and supplement entries automatically
- Cross-data correlation engine that identifies relationships between cycle phase, sleep quality, mood, nutrition, and activity
- Quarterly and annual Health Wrapped reports with cycle insights, mood patterns, habit streaks, sleep stats, symptom trends, and nutrition correlations
- Apple Health integration that pulls data from Clue, Flo, MyFitnessPal, Garmin, Fitbit, WHOOP, Oura, and Apple Watch
- Cycle phase-aware recommendations for workout timing, sleep adjustments, and nutrition planning
- Pregnancy tracking and perimenopause navigation tools with week-by-week guidance
- Personalized data queries allowing users to ask questions about their own health patterns