EMBR
EMBR is a longitudinal health record platform designed for women navigating the menopause transition. Users log symptoms, cycle data, and daily context in under a minute, and the platform identifies patterns in their entries. It generates an EMBR BRIEF—a structured summary with suggested questions—to help users have more evidence-based conversations with their clinicians.
- Digital Health
- Healthcare Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
For many women, perimenopause and the menopause transition arrive gradually, with symptoms like sleep disturbance, mood changes, hot flashes, and brain fog appearing in varying combinations over months or years. Clinical conversations, however, happen in short appointments, and without a structured record, discussions rely on memory, making it difficult to convey patterns or changes effectively.
Solution
EMBR provides a structured, longitudinal health record platform that begins with the menopause transition. Users log symptoms, severity, cycle data, daily context such as sleep, stress, caffeine, and alcohol, as well as treatments—most entries take under a minute. The platform calculates patterns from the user's own entries, such as symptoms occurring on the same days, and presents them in a timeline view. A key output is the EMBR BRIEF, a structured summary of the user's record that includes questions to ask a clinician, designed to make appointment conversations more evidence-based. EMBR explicitly does not diagnose or predict; it is a record-keeping and preparation tool grounded in endocrinology and behavioral science.
Target Audience
Primary users are women in the menopause transition, with the platform specifically built for professionals in consulting, finance, and technology who need a structured way to document symptoms and prepare for clinical conversations.
Features
- Under-one-minute daily logging of symptoms, severity, cycle, daily context (sleep, stress, caffeine, alcohol), and treatments
- Pattern detection that identifies correlations in logged data, such as which symptoms co-occur on the same days
- Timeline view consolidating all entries—symptoms, cycle days, and treatments—in chronological order
- EMBR BRIEF generation: a structured, printable summary with suggested questions for clinician appointments
- Comparison of symptom frequency across periods (e.g., weeks 5–12 vs. prior weeks) to show changes over time
- Developed with advisors across technology, healthcare, and women's health, grounded in endocrinology and behavioral science