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TL

Thryve Labs

Thryve Labs provides a passive AI monitoring platform that uses computer‑vision cameras and edge environmental sensors to continuously track gestures, sounds, movements and conditions in homes, group homes, and care facilities. The system delivers real‑time dashboards, facility notifications, and an always‑on Interactive Virtual Advocate for in‑home users, offering predictive, privacy‑preserving alerts for acute events such as falls or seizures while costing less than typical cable or home‑security services.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Unpaid family caregivers and professional long‑term care facilities often lack continuous, affordable monitoring of residents, leading to delayed response to acute events such as falls or seizures and increasing caregiver stress. Staffing shortages and geographic distance further limit the ability to provide timely, personalized supervision.

Solution

Thryve Labs delivers a passive AI monitoring platform that uses computer‑vision cameras and edge environmental sensors to observe gestures, sounds, movements, and ambient conditions 24 hours a day. The system processes data locally to preserve privacy and streams only alerts and aggregated analytics to caregivers. Real‑time notifications are sent to a facility dashboard or, for in‑home use, to an always‑on Interactive Virtual Advocate that can guide immediate response. Trend analysis and anomaly detection provide caregivers with longitudinal insights to anticipate health changes. The solution is priced below typical cable or home‑security services, making continuous monitoring financially accessible.

Target Audience

Primary customers are unpaid family caregivers seeking affordable home monitoring and long‑term care facilities that need scalable, privacy‑preserving safety solutions for residents.

Features

  • Computer‑vision cameras combined with edge environmental sensors for continuous, passive observation
  • Local on‑device AI inference that extracts gestures, sounds, and movement patterns while keeping raw video private
  • Real‑time alerts for acute events (e.g., falls, seizures) delivered to dashboards or a virtual advocate interface
  • Configurable observation profiles per individual to tailor detection thresholds and notification rules
  • Cloud‑agnostic analytics that generate trend reports and anomaly detection without storing personally identifiable video
  • Interactive Virtual Advocate for in‑home users that provides voice‑guided assistance during emergencies
  • Facility‑focused web dashboard with live status maps, event logs, and customizable alert settings
This profile is AI-generated and may contain inaccuracies.