eMoodie
eMoodie is a digital mental health platform that offers remote, evidence-based interventions and screening tools to improve access to mental health care. The platform enables users to receive personalized support from qualified professionals, eliminating the need for in-person visits and addressing the shortage of accessible mental health resources.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- HR Technology
- Software Only
Funding
Raised to date
$64.3KRaised 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
Many organizations struggle to proactively address employee mental health, leading to decreased productivity, increased burnout, and difficulty in providing tailored support. Existing mental health solutions often lack the ability to provide personalized interventions based on real-time data and individual needs.
Solution
eMoodie offers a digital mental health platform that provides personalized, evidence-based interventions and screening tools for employees. The platform uses AI, self-reported data, smartphone sensing, and audio/visual expression data to infer behavioral markers and deliver tailored symptom management advice. eMoodie's solution includes psychoeducational modules based on clinical psychology and research insights, along with gamification elements to enhance user engagement and adherence. The platform also offers outreach features to connect users with appropriate mental health services when needed.
Target Audience
eMoodie serves businesses, charities, researchers, and clinicians seeking to improve mental health support for employees and conduct research using experience sampling and ecological momentary assessment methodologies.
Features
- Digital interventions based on cognitive behavioral therapy, compassion-focused therapy, mindfulness, and sports psychology
- Symptom screening and management advice tailored to individual profiles
- AI-driven analysis of self-reported data, smartphone sensing data, and audio/visual expression data to infer behavioral markers
- Gamified protocols to enhance participant engagement and adherence
- Integration of ecological momentary assessment (EMA) methodologies for real-time data collection
- Mood and stress level monitoring with data visualization
- Bespoke software development available for research studies
- Support for both recurring surveys and standard questionnaires