Callyope develops a voice-based technology that analyzes speech patterns to objectively monitor psychiatric disorders, enabling remote patient assessments without requiring baseline data. This solution addresses the high rates of misdiagnosis and rehospitalization in mental health care by providing timely insights for personalized treatment adjustments.
Funding
$2.4M 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
Psychiatric disorders are frequently misdiagnosed, leading to high rates of rehospitalization and delayed access to appropriate treatments. Traditional methods for monitoring these conditions often rely on subjective assessments and infrequent in-clinic evaluations, hindering timely intervention and personalized care adjustments. The current standard of care lacks objective, replicable tools for continuous remote patient monitoring.
Solution
Callyope has developed a voice-based technology that analyzes speech patterns to provide objective monitoring of psychiatric disorders. The solution enables remote patient assessments, eliminating the need for baseline data and facilitating personalized, outcome-based care. Patients complete a one-minute voice test on a smartphone, either in-clinic or at home. Callyope's technology then analyzes the patient's speech to predict psychiatric clinical scores, assess fatigue, and estimate cognitive deficits. This approach aims to improve the quality of care by shortening the time to find the right treatment, adjusting treatment as needed, and preventing relapses to avoid rehospitalization.
Target Audience
The primary target audience includes psychiatrists and other mental health professionals seeking objective, replicable tools for remote patient monitoring and personalized treatment adjustments.
Features
- Voice-based analysis of speech patterns using NLP and signal processing techniques
- Prediction of psychiatric clinical scores from a one-minute voice sample
- Assessment of fatigue and estimation of cognitive deficits
- Remote patient monitoring via smartphone, both in-clinic and at-home
- No baseline data required, enabling use with unknown speakers
- Extraction of speech biomarkers, including vocabulary, speech rate, prosody, and intelligibility
- Assessment of motor, cognitive, and psychiatric symptoms