Daraai offers a privacy‑first mobile platform that consolidates physical, sleep, emotional, and social health data into a single, end‑to‑end encrypted vault stored on the user’s device. The app provides AI‑driven insights, searchable history, and granular consent controls, allowing users to share anonymized data with researchers and receive compensation. This enables individuals to maintain full control over their health information while contributing to medical research.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals’ health data is fragmented across multiple apps and devices, often sold to third parties without the user’s knowledge or consent, making it difficult to obtain a comprehensive view of personal health and to control data sharing.
Solution
Dara provides a privacy‑first mobile platform that aggregates physical, sleep, emotional, and social health metrics into a single, encrypted vault. All data are stored end‑to‑end encrypted and processed on the user’s device, ensuring that only the individual holds the encryption keys. The app generates personalized insights by identifying patterns across nutrition, activity, sleep, and biomarkers, and presents trends through searchable history and weekly reports. Users can grant granular, time‑limited consent to share specific data types with researchers or partners, and can revoke access at any moment. Anonymized datasets are sold to researchers, with compensation paid directly to the data owners, creating a fair data‑exchange model.
Target Audience
Primary users are health‑conscious individuals who want a comprehensive, secure view of their personal health data, as well as academic and commercial researchers seeking ethically sourced, anonymized health datasets.
Features
- Unified health dashboard that captures symptoms, sleep, activity, nutrition, and personal notes in one place
- On‑device processing and end‑to‑end encryption with user‑controlled keys for full data confidentiality
- Real‑time transparency log showing who accessed data, when, and for what purpose
- Granular consent management allowing selective sharing of data types with specific researchers and instant revocation
- Personalized AI‑driven insights that surface trends and correlations across multiple health dimensions
- Compensation mechanism that pays users for anonymized data contributions to research studies