Hollo is a clinical-grade platform that utilizes behavioral diagnostics and machine learning to measure and track mental health in chronic patients, offering prescription gamified digital therapeutics. The platform addresses the need for effective non-pharmacological interventions for comorbid mental health conditions, enhancing patient adherence and improving chronic care outcomes.
Funding
$115.1K raised to dateRaised 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.
Founders
Product
Problem
Individuals with chronic conditions often experience comorbid mental health issues that can negatively impact their overall health outcomes and adherence to treatment plans. Traditional methods of monitoring and addressing these mental health concerns are often costly, difficult to integrate into existing chronic care workflows, and rely on subjective patient reporting.
Solution
Hollo provides a clinical-grade platform that uses behavioral diagnostics and machine learning to measure, track, and treat the mental health of patients with chronic conditions. The platform employs biomarker-driven measurement, analyzing physiological, non-verbal, vocal, semantic, and digital biomarkers to objectively identify mental health conditions early. Hollo's digital therapeutics (DTx) and software as medical device (SaMD) solutions offer prescription gamified treatments, providing a non-pharmacological approach to address comorbid mental health conditions. By integrating easily with existing technology and offering clear data communication, Hollo aims to improve patient outcomes and increase treatment adherence.
Target Audience
Hollo's primary target audience includes healthcare providers, NGOs, insurers, and pharmaceutical companies seeking to support the mental health needs of chronic patients, improve treatment adherence, and generate insights from measurable patient data.
Features
- Biomarker-driven measurement using physiological, non-verbal, vocal, semantic, and digital biomarkers
- Machine learning models based on quality clinical data for early detection of mental health conditions
- Explainable AI models to ensure transparency and trust in the diagnostic process
- Prescription gamified digital therapeutics for engaging and effective treatment
- Integration with existing healthcare technology for seamless workflow incorporation
- Patient-centered design focused on clear data communication and transparent healthcare
- Continuous patient progress tracking and management
- Support for case management by tracking and monitoring patient data over time