InBalance is a mobile app that lets users log menstrual cycles, symptoms, mood, energy, and related health metrics, then uses AI to turn the data into personalized hormone-aware insights. It provides daily recommendations for nutrition, sleep, skincare, and exercise that adapt to the user's current hormonal phase, supporting regular, irregular, or absent periods and conditions like PMS and PCOS.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals experience fluctuating symptoms such as mood swings, energy changes, and menstrual irregularities but lack a systematic way to record and interpret these patterns, making it difficult to adjust daily activities or health decisions accordingly.
Solution
InBalance offers a mobile application that lets users log menstrual cycle data, symptoms, mood, and energy levels. The app applies AI-driven analysis to transform raw entries into personalized, hormone-aware insights. Users receive daily recommendations for nutrition, sleep, skincare, and exercise that align with their current hormonal phase. The guidance adapts to regular, irregular, or absent periods and addresses conditions like PMS and PCOS. By visualizing trends over time, the platform helps users understand how their hormones influence wellbeing and make informed lifestyle choices.
Target Audience
Primary users are individuals who track their menstrual health—particularly women and gender-diverse people seeking data-driven guidance to manage symptoms, optimize daily routines, and support conditions such as PMS or PCOS.
Features
- Unified tracker for period dates, symptoms, mood, energy, sleep, skin, and other hormone-related metrics
- AI-powered analytics that generate a personalized cycle map and daily hormone-smart recommendations
- Adaptive support for regular cycles, irregular cycles, and amenorrhea, including condition-specific guidance for PMS and PCOS
- Fitness suggestions that align workout intensity and recovery with the user’s hormonal phase
- Insight dashboards that visualize correlations between hormonal fluctuations and daily wellbeing factors