Cirdia offers Tapestry, a customizable wellness journal that lets practitioners define the health metrics clients should track and syncs data from Apple HealthKit and Google Health Connect. The platform generates weekly, locally processed pattern‑intelligence reports that highlight correlations across sleep, mood, symptoms, and habits, providing private, exportable insights for both client and practitioner.
Funding
Funding not disclosed
Founders
Product
Problem
Clients of wellness practitioners often struggle to consistently record health metrics such as symptoms, sleep, mood, and habits, leading to fragmented data that relies on memory or disparate notes. This makes it difficult for both clients and practitioners to identify patterns and make informed decisions during appointments.
Solution
Cirdia’s Tapestry platform provides a customizable wellness journal that practitioners configure with the specific metrics they want clients to track. Clients log entries with a single tap and can automatically import data from Apple HealthKit and Google Health Connect, creating a continuous health record that spans multiple sessions. The system applies weekly pattern‑intelligence analysis to surface correlations across sleep, energy, symptoms, and habits, delivering private insight reports that clients can share with their practitioner. All data processing occurs locally and is destroyed after report generation, ensuring privacy by design. The resulting reports give both parties a clear, data‑driven view of wellness trends without requiring additional manual effort.
Target Audience
Primary customers are wellness practitioners—such as health coaches, integrative clinicians, and women’s midlife specialists—who need a reliable, customizable journaling tool to monitor client data and generate actionable insights.
Features
- Practitioner‑defined metric sets (symptoms, mood, sleep, cycles, habits, etc.) that appear pre‑populated for each client
- One‑tap daily entry interface, taking roughly 30 seconds to log data
- Automatic synchronization of wearable data via Apple HealthKit and Google Health Connect
- Weekly, privately processed pattern‑intelligence reports that highlight cross‑metric correlations
- Secure, privacy‑first architecture that never stores raw client data on servers
- Exportable reports that can be shared with practitioners during appointments