From Clinical Sessions
to Compassionate Responses
A transparent look at how we build an AI that actually understands mental health — not just simulates it.
The Clinical Data Pipeline
Anonymized Clinical Data
We partner with Lebanese clinics to collect therapy session transcripts. All data is rigorously anonymized — no names, no identifiers, no location data. Only the therapeutic dynamics remain.
The 'Ash' Difference: Fine-Tuning vs. Prompts
Unlike generic chatbots that just use a 'system prompt' to pretend they are therapists, My Hayat is fine-tuned directly on clinical datasets. Similar to advanced systems like 'Ash', it natively understands therapeutic questioning, emotional validation patterns, and crisis de-escalation because that's what it was built on—not just instructed to do.
Safety Audits & Validation
Every model version is tested against suicide/self-harm benchmarks, evaluated by our clinical advisory board, and compared against general-purpose AI for harmful response rates.
Your Conversation
When you talk to My Hayat, it uses an information-gathering stance — asking you thoughtful questions, not giving generic advice. It speaks your Lebanese dialect and understands your cultural context.
Pattern Recognition
Over time, My Hayat connects today's stress to patterns from weeks ago. Using NLP analysis, it discovers emotional patterns you can't see yourself and offers breakthrough insights.
Outcome Measurement
We track real-world outcomes: symptom reduction (PHQ-9, GAD-7), behavioral activation, and social support metrics. More engagement with My Hayat predicts better outcomes, not worse.
Real-World Results
Our proof-of-concept studies show measurable improvement across key mental health indicators.
Your Privacy, Our Promise
End-to-end encryption on all conversations
No PII collected by default — fully anonymous
Data export and deletion at any time
GDPR-inspired privacy principles
