The Stability App is a data‑informed mental health platform that enables individuals with bipolar disorder or depression to log moods, identify patterns, and share insights with clinicians and support networks. It combines mood‑tracking tools, analytics, and community features to facilitate self‑management and coordinated care. The service operates on a subscription model, providing users with ongoing access to the app’s tracking, reporting, and connection capabilities.
Funding
Funding not disclosed
Founders
Product
Problem
People living with bipolar disorder or major depressive disorder often lack a unified tool to consistently record mood fluctuations, recognize early warning signs, and coordinate care with clinicians and personal support networks. This fragmentation can delay interventions and reduce the effectiveness of self‑management strategies.
Solution
The Stability App delivers a mobile‑first, data‑informed platform that enables users to log mood states, contextual factors, and medication adherence in real time. Built‑in analytics apply time‑series and statistical modeling to surface patterns, trigger alerts, and suggest evidence‑based coping actions. The system incorporates clinically validated insights, allowing users to receive personalized recommendations aligned with therapeutic best practices. Secure, permission‑based sharing connects users with family, friends, or mental‑health providers, facilitating coordinated support without leaving the app. All data are encrypted in transit and at rest, and can be exported as concise reports for clinician review, supporting proactive care planning.
Target Audience
The primary users are adults diagnosed with bipolar disorder or major depressive disorder who seek data‑driven self‑management, as well as their caregivers and mental‑health professionals who require actionable insights for treatment planning.
Features
- Customizable mood entry interface with multi‑dimensional scales, symptom tags, and free‑text notes
- Automated pattern detection using statistical time‑series analysis and anomaly detection algorithms
- Clinician‑validated recommendation engine that aligns alerts with CBT and mood‑stabilization protocols
- Permission‑based support network module for secure sharing of selected data with caregivers or therapists
- HIPAA‑compliant end‑to‑end encryption and cloud‑based storage with granular access controls
- Push notification system that delivers early‑warning alerts when mood deviations exceed personalized thresholds
- Exportable PDF/CSV reports optimized for integration into electronic health record (EHR) workflows
- Optional integration with wearable devices to enrich mood data with physiological metrics (e.g., heart rate variability)