Intelligent screening, triage, clinical reporting, and longitudinal monitoring—powered by voice analysis and constrained generative AI, built for low-resource and post-conflict settings.
AYA is building scalable mental health infrastructure that listens, understands, and acts—one voice at a time.
Across Africa, an invisible crisis unfolds. Over 150 million people are undiagnosed and untreated, struggling with depression, anxiety, and trauma—and unsupported. They suffer in silence because the systems designed to help them simply don't reach them.
The opportunity for change is real. With the right tools, we can close this gap.
Undiagnosed and untreated
Current detection rate
Mental health workers—tenth of thousands shortage (12x below WHO standard)
With AYA screening
AYA combines voice-based psychological assessment with carefully constrained generative AI to deliver real-time clinical decision support—screening, triage, reporting, and longitudinal monitoring—all designed to work in low-resource and post-conflict settings without requiring internet connectivity.
AYA transforms voice into clinical intelligence. Frontline health workers use voice-based screening to capture psychological states, while constrained generative AI generates actionable clinical insights—empowering nurses, counselors, and clinicians to deliver care that reaches those who've been invisible.
The foundation of care is listening. Our voice AI, trained on Multilingual Multimodal Clinical Dataset from diverse populations across Africa, converts a 30-second voice sample into comprehensive psychological metrics—detecting depression, anxiety, and trauma indicators that clinical staff would miss. This objective voice assessment becomes the input for constrained generative AI clinical reasoning.
60% detection rate vs. 5% current rate in primary care
Voice metrics alone tell part of the story. Our constrained generative AI layer takes voice-derived psychological data and applies structured clinical reasoning—transforming numbers into actionable decisions. The system generates risk assessments, triage recommendations, and treatment pathway guidance, always constrained to evidence-based clinical protocols. 85-90% accuracy in clinical decision support, grounded in psychiatric standards and frontline worker feedback.
AI that thinks like a clinician—bounded by safety and evidence
Recovery is a trajectory, not a moment. Repeated voice-based check-ins track psychological status over weeks and months, while constrained generative AI identifies improvement patterns, flags deterioration, and alerts clinicians to intervention opportunities. The system creates a living clinical record—objective voice data over time, combined with AI-guided interpretation, ensuring patients receive continuous support and supervisors gain visibility into population mental health trends.
Care that follows patients home—and keeps them connected
From a 30-second voice sample to a personalized clinical plan. Meet Amara, a woman in Ethiopia, and follow her journey through AYA's intelligent screening, analysis, and care system.
Amara visits her local health clinic. A community health worker conducts a voice-based screening in Amharic, asking open-ended questions about her emotional state and well-being. Over one minute, she shares her experience—sadness about recent loss, anxiety about her family's future, and difficulty sleeping.
The 30-second voice sample captures genuine emotional expression—the foundation for AI analysis.
AYA's voice AI, trained on Multilingual Multimodal Clinical Dataset, analyzes Amara's voice in real-time. The system calculates a comprehensive psychiatric severity score:
Severe emotional dysregulation with dominant sadness and anxiety, supported by voice behavioral markers (slowed speech, reduced vocal energy, tremor). High risk for self-harm and deterioration without immediate intervention.
Amara's voice metrics reveal severe distress (EDI of 78). Now AYA's constrained generative AI layer activates. Using only the voice-derived data and pre-trained clinical frameworks, the system generates a detailed clinical report—not a diagnosis, but a structured guide for clinicians grounded in evidence-based protocols—including:
Clinicians receive this structured report instantly—no guessing, no delays. The AI confidence is 89%, grounded in clinical protocols.
Amara starts psychiatric consultation and trauma-informed counseling. Her care doesn't end at diagnosis—it deepens through continuous monitoring.
Weekly voice check-ins measure her progress:
Discover how voice-based assessment combined with evidence-bounded generative AI delivers measurable improvements across every step of the patient journey
Voice analysis creates objective metrics—emotional distress index, psychological dimensions, and behavioral markers—replacing subjective guesswork with quantifiable clinical data
Voice metrics feed evidence-bounded generative AI that produces immediate clinical guidance—triage level, risk assessment, and treatment pathways—all constrained to proven clinical protocols
Repeated voice-based check-ins track psychological trajectories over time, with constrained GenAI flagging improvement, stagnation, or deterioration—enabling early intervention
Voice AI trained on multilingual, multimodal clinical data from African populations; constrained GenAI operates offline on basic phones; minimal supervision required—scalable mental health infrastructure designed for Africa's realities
In communities across Ethiopia and Uganda, AYA is transforming lives. These aren't just pilot programs—they're journeys of hope where people finally get the care they deserve.
Lenegewa Women's Rehabilitation and Job Training Center
Empowering women survivors of trauma with AI-powered screening, connecting those with sex work, homelessness, and severe poverty experiences to healing support
EECMY-DASSC
Bringing mental health screening to post-conflict communities, reaching people who've experienced violence and displacement with compassionate AI-powered care
Karis Medical Center
Integrating voice AI into clinical care, continuously monitoring patient progress and outcomes to ensure support doesn't end at diagnosis
Our work isn't based on promises—it's grounded in rigorous, peer-reviewed research proving that voice AI can accurately detect mental health conditions, support trauma recovery, and save lives. These studies validate what frontline workers and patients already know: technology guided by compassion works.
Alemu, Y., Ohiomoba, P., Kahsay, Y., et al.
International Journal of Psychiatry Research • 2026
Key Findings
Alemu, Y., Teshome, S., Salegh, E., Ohiomoba, P., & Vinson, S.
Annals of Research Protocols • 2023
Key Findings
Alemu, Y., Cardenas Bautista, E., Vinson, S., Ohiomoba, P., et al.
Telehealth and Telemedicine Today • 2024
Key Findings
Caulley, D., Alemu, Y., Burson, S., et al.
JMIR Research Protocols • 2023
Key Findings
Our team bridges technology and compassion. Doctors, engineers, clinicians, and advocates united by a single conviction: mental health care in Africa is possible, and it starts now.
CEO and Co-Founder
CTO and Co-Founder
Strategic Advisor
Psychiatrist and Director of Clinical Services
Lead Software Engineer
Physician-Coach-Counselor
Physician-Coach-Counselor
Physician-Coach-Counselor
Lead Implementation Director
Physician-Coach-Counselor
Team Member
AYA is co-designed and deployed with the leaders, healers, and innovators across Africa who understand what mental health infrastructure truly needs. From regional authorities to grassroots NGOs, these are the partners making this possible.
Regional Authority
The largest region in Ethiopia, serving a population of 60 million. OSTA drives innovation and technology adoption across the region's healthcare infrastructure.
Key Contribution
Population reach: 60M
NGO Partner
One of the oldest and largest NGOs in Ethiopia with over 240 active projects covering all of Ethiopia's regions. Provides deep community integration and implementation support.
Key Contribution
240+ projects nationally
Academic Institution
Addis Ababa Science and Technology University serves as the lead academic institution for science and technology research and innovation in Ethiopia.
Key Contribution
Research validation hub
Medical Partner
One of the largest and most advanced medical schools in Ethiopia. Provides clinical expertise, validation, and training for mental health professionals.
Key Contribution
Clinical training partner
Remote Deployment Partner
Located in a remote region of Ethiopia, serves as the testing ground for implementations in challenging environments with limited connectivity and resources.
Key Contribution
Low-resource testing site
If your health system, NGO, research institution, or community organization believes mental health is a human right—and you're ready to bring that belief to life—let's talk. Together, we can build the infrastructure that finally reaches those who've been invisible.
Thank you! We've received your inquiry.
We'll be in touch soon to discuss partnership opportunities.
There was an error submitting the form.
Please try again or contact us directly.