Ask Nomi provides AI‑powered, personalized care for people with endometriosis by continuously learning from daily symptom logs, wearable data, and clinician input. The platform syncs with Apple Health to detect patterns across pain, sleep, cycle and nutrition, then offers guided self‑trials—such as supplement or lifestyle interventions—and generates doctor‑ready reports that help users and their providers track progress and adjust treatment.
Funding
Funding not disclosed
Founders
Product
Problem
People with endometriosis often struggle to connect fluctuating symptoms with menstrual cycle phases, sleep patterns, diet, and activity, making it hard to identify effective self‑care strategies. Traditional tracking tools lack real‑time analysis and clinician‑grade insights, leading to trial‑and‑error treatments and delayed symptom relief.
Solution
Ask Nomi offers an AI‑powered health companion that continuously learns an individual’s “endo print” by aggregating symptom logs, wearable data from Apple Health, and user‑reported lifestyle factors. The platform detects patterns—such as pain spikes linked to specific cycle days or sleep quality—and delivers weekly, personalized insights. Users can initiate guided self‑trials (e.g., magnesium supplementation) and see quantified outcomes, while the system automatically generates doctor‑ready reports for clinical review. A chat‑based interface enables conversational data entry and instant feedback, and live group sessions with women’s health specialists provide peer support and expert guidance. All data are encrypted and stored securely, giving users full control over their health information.
Target Audience
Primary users are women living with endometriosis who want data‑driven self‑management, as well as clinicians and specialists seeking detailed, patient‑generated reports to inform treatment plans.
Features
- Automatic sync of sleep, heart‑rate variability, and activity data from Apple Health and other wearables
- AI‑driven pattern recognition that correlates pain, cycle phase, sleep, nutrition, and movement
- Weekly personalized insights and actionable recommendations based on detected trends
- Guided self‑trial framework that measures intervention impact (e.g., magnesium reducing cramps 40%)
- Doctor‑ready reports summarizing cycles, symptom trajectories, and treatment responses for easy sharing
- Live group care sessions with certified women’s health clinicians and peer support circles
- Conversational chat interface that logs symptoms and queries without manual forms
- Bank‑level encryption and user‑controlled data privacy settings