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HealthRhythms

Health Rhythms utilizes AI-driven behavioral sensing technology to continuously and objectively measure mental health status through mobile devices, enabling real-time monitoring of individual behavioral patterns. This approach addresses the lack of effective mental health interventions by providing personalized, timely support based on continuous data collection and analysis.

Traction 10/10
Long Island City, United States · HQ
Founded 2020292K+ followers
  • Artificial Intelligence
  • Digital Health
  • Healthcare Technology
  • Software Only
Updated 15 days ago

Funding

Raised to date

$11MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Peter Sorantin

Chief Commercial Officer

Product

Problem

Current mental healthcare relies on periodic, subjective assessments, which often fail to capture the dynamic nature of mental health conditions and provide timely interventions. The lack of continuous, objective data hinders proactive identification of individual needs and assessment of treatment efficacy.

Solution

Health Rhythms offers an AI-driven behavioral sensing technology that continuously and passively monitors mental health status through mobile devices. By collecting and analyzing individual behavioral patterns in real-time, the platform enables proactive identification of mental health needs and personalized interventions. The technology provides clinicians, providers, and researchers with objective, continuous data to improve access to care, assess treatment efficacy, and measure behavioral and environmental factors. This approach facilitates fluid, responsive, and personalized care, leading to healthier outcomes.

Target Audience

The primary users are clinicians, healthcare providers, and researchers across the healthcare spectrum who seek continuous, objective mental health measurement for improved patient care and research outcomes.

Features

  • Continuous, non-invasive measurement of behavioral health through mobile devices
  • AI-driven analysis of behavioral patterns for real-time insights
  • Proactive identification of individual mental health needs
  • Personalized and timely interventions based on continuous data
  • Objective assessment of treatment efficacy
  • Secure and private data collection with privacy by design
This profile is AI-generated and may contain inaccuracies.