Kaya is a women's health tracking platform that helps users identify patterns across skin, hair, nutrition, and perimenopause symptoms. The app supports voice notes, photos, and quick text logs to capture health changes naturally, then organizes them into timelines that reveal connections over time. Kaya aims to give women clearer context for healthcare appointments and more confidence in understanding their bodies.
Funding
Funding not disclosed
Founders
Product
Problem
Women's health symptoms are often interconnected but rarely tracked together, leaving the full story scattered across memory, photos, and notes. Symptoms happen between appointments, routines change over time, and the details that matter are easy to forget, making it hard to identify what actually helps or what may be connected. This guessing game leads to exhausting trial-and-error with products, diets, and supplements without clear answers.
Solution
Kaya provides a flexible health tracking platform designed specifically for women to capture symptoms across skin, hair, nutrition, and perimenopause. Users can log changes through voice recordings, photos, quick notes, or symptom and routine logs, making it sustainable to track consistently without pressure. Over time, Kaya organizes these observations into patterns and timelines that help women recognize what repeats, what changes, and what tends to happen together. The platform supports reflection across weeks or cycles rather than day-to-day judgment, enabling users to separate what's helping from what isn't and walk into appointments with a clear health history.
Target Audience
Primary users are women experiencing skin, hair, nutrition, or perimenopause-related symptoms who want to understand patterns in their health, as well as those preparing for healthcare appointments with clearer context.
Features
- Multi-modal capture including voice recording with speech understanding, photo uploads, quick notes, and structured symptom logs
- Pattern recognition across skin, hair, nutrition, and perimenopause symptoms with cycle-linked tracking
- Timeline view that connects isolated moments into longer-term health narratives
- Context tracking for sleep, stress, food, cycle day, and product changes to turn symptoms into patterns
- Appointment preparation tools that compile symptom history for clearer clinician conversations
- Guidance content on tracking methods, pattern recognition, and when to seek medical care