aid: carevision-inc accessModel: pricing: unknown onboarding: unknown trial: false try_now: false public: false label: Unknown confidence: low source: [] generated: '2026-07-22' method: derived image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/carevision-inc.png name: Carevision Inc. description: >- Carevision Inc. is an AI-powered digital health company whose platform turns any camera into a 60-second contactless cardiometabolic wellness scanner. Using remote photoplethysmography (rPPG) and deep learning models trained on 12M+ patient records, it extracts 30+ physiological parameters — including heart rate, blood pressure indicators, stress index, respiratory rate, and oxygen saturation — and produces a comprehensive digital health persona covering 15+ cardiometabolic conditions. Carevision operates under the FDA General Wellness Policy (it is not a medical device or diagnostic tool) and is delivered as a kiosk, an embedded/white-label SDK for iOS and Android, or a web integration to hospitals and clinics, health insurers, pharmacy chains, diagnostic laboratories, wellness apps, and teleconsultation platforms, integrating with EMR/HIS systems. url: https://raw.githubusercontent.com/api-evangelist/carevision-inc/refs/heads/main/apis.yml x-type: company x-source: vc-portfolio x-backed-by: - 500-global x-tier: stub x-tier-reason: portfolio-lead specificationVersion: '0.20' created: '2026-07-17' modified: '2026-07-18' tags: - Company - Health - Healthcare - Digital Health - Wellness - Cardiometabolic - Artificial Intelligence - Computer Vision - Remote Photoplethysmography - Screening - SDK apis: [] maintainers: - FN: Kin Lane email: kin@apievangelist.com - FN: APIs.json email: info@apis.io common: - type: Website url: https://carevisionai.com - type: Blog url: https://carevisionai.com/blog - type: Support url: https://carevisionai.com/contact - type: DomainSecurity url: security/carevision-inc-domain-security.yml x-enrichment: date: '2026-07-19' status: backfilled pass: local-v1 note: backfilled from .gitignore signal + verified work evidence