happymind offers an AI-powered mobile application for psychological self-anamnesis, utilizing NLP and ML to analyze user input for potential mental health conditions. The platform generates an F-diagnosis and provides tailored routing to appropriate care pathways, ranging from digital self-help to specialized clinical services. This process aims to offer immediate, precise orientation and reduce delays in accessing necessary mental health support.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals experience mental health symptoms but face long waiting periods for therapy, limited availability of qualified providers, and unclear pathways to appropriate care. Without a reliable self-assessment, users often remain uncertain about their condition and may delay seeking help, exacerbating symptoms and increasing overall system burden.
Solution
happymind delivers a mobile application that conducts an AI-driven psychological self‑anamnesis. Users answer conversational, voice‑based prompts presented by an empathetic avatar; the platform’s natural‑language processing and machine‑learning models analyze the input in real time to generate an F‑diagnosis covering common conditions such as depression, anxiety, and stress. Based on the diagnosis and severity, the app automatically matches the user to the most suitable next step—ranging from self‑help digital tools to referrals for therapists, psychiatrists, or specialized clinics. The service operates anonymously, complies with GDPR, and stores data on an ISO‑27001 and BSI‑certified infrastructure, providing immediate orientation without waiting for a professional appointment.
Target Audience
The primary users are digitally native individuals—particularly younger adults—who are experiencing mental‑health concerns and seek an immediate, confidential assessment, as well as insurers and health platforms looking to offer scalable triage solutions.
Features
- Voice‑enabled conversational interface guided by an avatar, requiring no prior clinical knowledge from the user
- Real‑time NLP and ML analysis that dynamically adapts follow‑up questions to the individual’s narrative
- Generation of an F‑diagnosis mapped to evidence‑based care pathways, including digital self‑help apps, outpatient therapy, psychiatric services, and nearby clinics
- Bias‑mitigation checks during model training, with validation by multiple therapists across therapeutic guidelines
- End‑to‑end encryption, ISO‑27001 and BSI TR‑0316 compliant backend, and full GDPR compliance for data privacy
- Optional follow‑up support from the happymind care team for users needing additional assistance
- Integration‑ready API for health insurers or providers to incorporate the triage service into existing digital health ecosystems