AI-powered, clinically validated mental health monitoring tool

MoodMon is a first-in-class solution for objective monitoring of a patient’s mental state. It detects significant mood changes by analyzing voice parameters and alerts patients and healthcare providers, enabling timely, personalized treatment management. Built for clinicians who demand precision and trust and for patients who want to track their mental health objectively.

System

What is Moodmon?

MoodMon is an AI-powered digital solution designed to support the therapy of patients with bipolar disorder and recurrent depression. It is currently undergoing certification as a CE-marked Class IIa medical device.
Intended for already diagnosed patients, it enables continuous, objective monitoring of their mental state and early detection of changes.

MoodMon analyzes behavioral parameters, detects significant changes in mental condition, and generates automatic alerts for patients, clinicians, and designated caregivers. MoodMon is designed to become a first-in-class tool for objective mental health monitoring.

Mobile App

Daily Mood Tracking

A mobile application, which can be paired with a wearable device, collects data on the patient’s voice parameters (without analyzing content), physical and social activity, and sleep quality. This continuous stream of objective data feeds directly into the clinical analysis layer, supporting personalized monitoring and care.

Desktop Platform

Monitor and Manage Patients’ Mental Health

The web application gives psychiatrists a complete view of their patients’ mental state. They can enter clinical assessments during appointments, review behavioral data from the patient’s MoodMon app, and see AI-based analysis. If MoodMon detects a change in a patient’s mental state, it generates an alert that is sent to the clinician’s app. Alert data is generated once a day and is visible after logging into the platform. Upon receiving an alert, the clinician contacts the patient, assesses their condition, and records their evaluation in the system. This data is fed back into MoodMon’s AI, continuously improving monitoring accuracy and personalization.

AI Engine

AI-Powered Insights for Personalized Mental Health Monitoring

The core AI engine processes data from both the patient’s mobile app and the clinician’s web platform using proprietary algorithms to predict potential changes in the patient’s mental state. It analyzes physical voice parameters collected via the mobile app and integrates continuous clinical assessments to retrain and personalize its predictions for each patient, enabling timely and individualized alerts.

Process

How the system works

MoodMon is a clinical support system designed for patients with diagnosed affective disorders who are under professional medical care. It complements therapy by providing continuous, objective monitoring of the patient’s mental state.

Through the mobile application and connected devices, MoodMon collects behavioral data such as voice parameters, physical activity, sleep patterns, and phone usage. Voice acoustic features are transmitted to the system and analyzed by the AI engine. Other data are visualized for clinicians perusal.

Using proprietary algorithms, the AI continuously evaluates these signals to identify potential changes in the patient’s mental condition. When a significant change is detected, the system generates an automatic alert.
Alerts are shared with the patient, the treating psychiatrist, and designated caregivers through their respective platforms. This enables timely contact, clinical assessment, and, if needed, adjustment of therapy.

MoodMon supports early intervention and personalized care by combining objective data with clinical expertise. It is not a diagnostic tool and does not replace medical judgment but serves as a reliable decision-support system for clinicians and patients.

Components

Core modules

Three integrated components work together seamlessly.

Patient mobile app

Capture voice samples (self-recorded or via voicebot) and collect behavioral data from smartphone and wearables. Displays alerts and reports for the patient.

Doctor’s
desktop platform

Web-based platform for psychiatrists to manage patients, review visit history and app data, and monitor active alerts indicating mental state changes.

AI Engine

Processes data from patient and clinician apps using proprietary algorithms to predict mental state changes and send alerts to patients, doctors, and caregivers (SMS).

Patient mobile app

Simple interface for tracking mood signals and behavioral patterns daily.

Clinical Web Dashboard

Simple interface for tracking mood signals and behavioral patterns daily.

AI Web Engine

Simple interface for tracking mood signals and behavioral patterns daily.

Moodmon combines objective behavioral and physiological data.

Validation

Clinically validated medical technology

MoodMon is not a lifestyle application – it is a clinically validated medical solution developed and evaluated in accordance with rigorous regulatory standards.

Its clinical evaluation is based on proprietary clinical study data, a review of current scientific literature, and safety data from comparable medical devices.

A prospective clinical study was conducted to assess the safety and effectiveness of MoodMon in patients diagnosed with depression and bipolar disorder. The system uses machine learning to analyze voice data, enabling early detection of relapse or significant changes in mental state.

The study was carried out in two phases: an initial observational phase for model development and training, followed by a validation phase assessing real-world performance and alert generation.

Across more than 31,000 daily predictions, MoodMon demonstrated high predictive accuracy:

  • Sensitivity: 89.5% – meaning that the system correctly detects 89.5% of cases where a patient’s mental state changes (true positives); it reliably flags significant changes that require clinical attention.

  • Specificity: 98.8% – meaning that the system correctly identifies 98.8% of cases where there is no significant change in the patient’s state (true negatives), rarely generating false alerts.

No serious adverse events or device-related safety issues were reported, confirming a strong safety profile.

The clinical evaluation was conducted in compliance with MDR (EU) 2017/745 and relevant MDCG guidelines, as well as Good Clinical Practice (ISO 14155).

Validation

Clinical benefits observed in the Moodmon’s Clinical Study

The clinical study identified the following key benefits of MoodMon for patients with affective disorders:

01.

Improved Therapy Personalization and Early Intervention

MoodMon enables more precise adjustment of treatment according to the patient’s current mental state, allowing earlier interventions in case of symptom exacerbation.

02.

Significant Reduction in Hospitalizations

A major outcome of the study was a marked reduction in hospitalizations:

  • During the study period, no hospitalizations due to affective disorder occurred among monitored patients.
    In the same patient group

  • In the same patient group during the same period before the study, 12 hospitalizations were recorded.

03.

Support for Workforce Shortages

MoodMon provides clinical support that is particularly valuable in the context of growing psychiatrist shortages, helping to manage the increasing number of patients requiring specialized care.

Audience

Who it’s for

Moodmon is designed to support the monitoring of adults with chronic affective disorders – bipolar disorder or recurrent depression – by alerting patients, caregivers, and clinicians to behavioral changes that may indicate fluctuations in mental state.

Patients

Adults with bipolar disorder or recurrent depression use Moodmon to track their mental health and get early alerts about significant changes.

Psychiatrists

Clinicians monitor patient status, receive alerts, and make informed treatment decisions.

Family & Caregivers

Loved ones can stay informed and provide support—but only with the patient’s consent

Healthcare Systems

Early detection helps prevent hospitalizations, enabling faster care and reducing treatment costs.

Moodmon combines objective behavioral and physiological data.

Collaborate

Partnership & collaboration

We collaborate with healthcare providers, technology companies, and research institutions to bring clinically validated, AI-powered mental health monitoring into real-world care, digital products, and scientific research.

Healthcare Providers

Deploy MoodMon across your organization

MoodMon is designed to support healthcare providers—including insurers, payers, and care networks—in delivering more proactive and personalized mental health care.
By continuously monitoring patients’ mental state, MoodMon enables:

  • Smarter care planning – dynamically adjust visit schedules, therapy plans, and pharmacological treatment based on real-time patient data
  • Early intervention – detect early signs of relapse and prevent costly hospitalizations
  • Optimized treatment intensity – identify improvement trends and safely reduce medication dosage or frequency of visits when appropriate

The result is better patient outcomes and lower overall cost of care, driven by timely, data-informed decisions.

Technology Partners

Enhance your health app with clinically validated mental health insights

We partner with digital health companies and app developers who want to expand their offerings with advanced mental health monitoring. Through seamless API integration with the MoodMon AI Engine, you can:

  • Add clinically validated mood and mental state tracking to your product
  • Adjust personalized insights, recommendations, and therapeutic content to the current user’s mental state
  • Generate structured reports to support users or healthcare professionals

MoodMon helps you deliver deeper engagement and real clinical value – without building complex mental health models from scratch.

Research Institutions

Powering the future of psychiatric research

MoodMon supports pharmaceutical companies and research institutions in advancing clinical research in psychiatry.
Our platform enables:

  • Continuous, real-world patient monitoring during clinical trials
  • Objective, data-driven assessment of patient mental state over time
  • Enhanced study precision through high-frequency, longitudinal data collection

MoodMon can serve as a digital biomarker tool, improving the quality of research and enabling more accurate evaluation of treatment outcomes.

Connect

Discover how MoodMon can support patients, clinicians, and organizations in delivering better mental health outcomes.

Join our Waiting List to be among the first to access MoodMon when it becomes available, or get in touch to explore partnership opportunities.

Contact us

Connect

Learn how Moodmon can support your organization and patients.

Request a demo or get in touch to discuss partnership opportunities.

Contact us