Thymia utilizes AI-driven assessments that analyze voice, video, and behavioral data to objectively measure mental health symptoms, particularly depression. This technology enables clinicians to diagnose and monitor mental health conditions more accurately and efficiently, significantly reducing the time required to identify effective treatments.
Funding
$5.6M 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.
AMCSC+1Founders
Product
Problem
Current mental health assessments often rely on subjective evaluations and can be time-consuming, leading to delays in diagnosis and treatment. Traditional methods may also lack the sensitivity to detect subtle changes in a patient's mental state, hindering effective monitoring and personalized care.
Solution
Thymia offers an AI-powered platform that analyzes voice, video, and behavioral data captured during gamified tasks to provide objective measurements of mental health symptoms. By combining these multiple data streams, Thymia's technology aims to identify mental illness and its underlying symptoms with greater specificity and accuracy. The platform's AI models quantify a patient's state of mind, offering insights into conditions like depression, anxiety, and ADHD, as well as mental wellbeing indicators such as stress and burnout. Thymia's products, Helios and Apollo, can be embedded into existing platforms via an Activity Plugin or Media API, allowing for seamless integration into various user journeys. The objective measurements facilitate more efficient triaging, diagnosis, and treatment of mental health conditions.
Target Audience
Thymia targets clinicians seeking objective tools for diagnosing and monitoring mental health conditions, as well as employers and providers looking to identify mental strain and burnout in the workplace.
Features
- AI-driven analysis of voice acoustics and content to detect emotional and cognitive cues
- Video analytics that track eye-gaze patterns, facial micro-expressions, head angle, and upper body movements
- Behavioral analysis based on user interactions with specially designed games, capturing reaction times and error rates
- Proprietary AI models that combine voice, video, and behavioral data for increased accuracy
- Activity Plugin and Media API for easy integration into existing platforms
- Helios product suite for mental wellness assessment, measuring mental strain, burnout, stress, distress, tiredness, and confidence
- Apollo product suite (currently investigational) for clinical insights into major depression, generalized anxiety, and ADHD