AYA provides an AI‑powered mental health infrastructure that enables frontline workers in Africa to screen, diagnose, and guide treatment for depression, anxiety and trauma using voice‑based assessments. The platform delivers real‑time decision support, personalized care pathways, and anonymized population analytics, extending the reach of limited mental health professionals. It is already deployed in community centers in Ethiopia and Uganda, supporting women, youth and families with trauma‑focused services.
Funding
Funding not disclosed
Founders
Product
Problem
Across Africa, the majority of individuals with depression, anxiety, or trauma remain undiagnosed and untreated because existing mental‑health systems do not reach the communities where they live. Frontline health workers face severe workforce shortages and lack tools, training, or supervision, resulting in detection rates of only 5‑10% and high provider burnout.
Solution
AYA delivers an AI‑driven mental‑health infrastructure that equips frontline workers with digital screening instruments, clinical decision‑support, and personalized care pathways. The platform enables real‑time symptom assessment and AI‑generated recommendations, allowing workers to identify at‑risk individuals and triage care efficiently. By integrating anonymized population analytics, AYA supports public‑health planning and targeted interventions while preserving patient privacy. The system is designed to operate in low‑resource settings, extending mental‑health services to underserved women, youth, and families in Ethiopia and Uganda and reducing the burden on overtaxed providers.
Target Audience
Primary users are community health workers, social workers, and NGO staff delivering mental‑health services in low‑resource settings across Africa, particularly in Ethiopia and Uganda.
Features
- Mobile‑compatible screening tools that capture depression, anxiety, and trauma indicators during routine community visits
- AI‑powered clinical decision‑support that suggests care pathways and referrals based on individual risk profiles
- Personalized care plans that combine digital guidance with human follow‑up for trauma survivors and vulnerable populations
- Real‑time dashboards delivering anonymized, aggregate mental‑health metrics for public‑health officials and NGOs
- Integration of supervision and training modules to support frontline workers and mitigate burnout