Calma AI is a secure, AI‑powered personal health companion that lets users capture health events via voice, text, photos, or document upload and automatically organizes them into a searchable timeline synced with health trackers. It applies multi‑model AI analysis to provide personalized insights, medication interaction alerts, and pattern detection based solely on the user’s own encrypted data, helping individuals prepare for medical appointments without offering diagnoses or prescriptions.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals often struggle to keep track of diverse health information—notes, tracker data, medication details, and medical documents—leading to fragmented records and missed insights during doctor visits.
Solution
Calma AI offers a secure, AI‑powered personal health companion that captures health events via voice, text, photos, or document upload and automatically organizes them into a searchable timeline. The platform syncs with existing health trackers and applies multi‑model AI analysis to surface personalized insights, medication interactions, and patterns within a user’s own data. All information is encrypted with AES‑256‑GCM and TLS 1.3, and the service complies with GDPR and SOC 2 Type II standards, ensuring that users retain full ownership of their data. Users can query their health context instantly, receiving tailored summaries that help them prepare for medical appointments without the system providing diagnoses or prescriptions.
Target Audience
Calma AI is aimed at health‑conscious individuals who manage multiple health records and want a secure, centralized assistant to organize their data and prepare for clinical visits.
Features
- Voice, text, photo, and document capture for instant health event logging
- Automatic synchronization with popular health trackers and wearable devices
- AI-driven photo recognition to extract data from medical images and receipts
- Full‑text searchable timeline that organizes entries by date and topic
- Multi‑model AI analysis that identifies health patterns, medication interactions, and personalized insights
- End‑to‑end encryption (AES‑256‑GCM) with TLS 1.3, GDPR and SOC 2 Type II compliance
- User‑controlled data ownership; no training of external AI models on personal health data