24/7 Mental Health
Support
Rafi provides immediate emotional support, tracks wellbeing trends, identifies students at risk, and connects them with human counselors — exactly when it matters.
People are struggling in silence
Millions of People live with anxiety, depression, burnout, loneliness, and financial stress every day. Yet most never seek help — not because they don't need it, but because the barriers are too high.
Mental health services are overwhelmed and understaffed. People wait weeks for appointments while their struggles compound. Early intervention is nearly impossible at scale.
Rafi changes that — by being available the moment a person needs support, not a fortnight later.
Kenyans will experience a mental illness at some point in their lives
of Kenyans have no access to mental health services
average wait time for a mental health appointment in Kenya
typical psychiatrist-to-population ratio in Kenya
Proactive wellbeing, not reactive care
Rafi is an AI-powered mental wellbeing platform designed specifically for universities. People receive immediate emotional support any time of day, while mental health professionals gain the visibility they need to intervene before a crisis escalates.
It's not a chatbot. It's a clinically-informed support system that understands context, detects risk, and knows when to bring in a human.
Person wellbeing snapshot
Everything a person needs. Everything a mental health professional wants.
AI counseling companion
People access supportive, judgment-free conversations anytime. Responds with empathy grounded in evidence-based counseling frameworks.
- Available 24/7 — no appointments needed
- English and Swahili language support
- Context-aware, personalized responses
- CBT and mindfulness-based techniques
Mood tracking & wellbeing monitoring
People log moods and visualize emotional trends over time — building self-awareness and spotting patterns before they become problems.
Early risk detection
Rafi continuously analyzes conversations for signs of distress — catching struggling people early, before a crisis develops.
- Multi-signal risk classification
- Detects subtle distress indicators
- Reduces time to intervention significantly
- Prioritizes urgent cases automatically
Human mental health professional escalation
AI support never replaces professional care. When risk is detected, the transition to a human mental health professional is smooth, warm, and immediate.
- Three-tier escalation system
- Mental health professional receives full session context
- Person-consented handoff process
- Crisis resources surfaced instantly
Person reflection & progress
People can review past sessions, track their emotional growth over time, and recognize recurring patterns — turning every conversation into a step toward long-term wellbeing.
- Session history and summaries
- Emotional trend visualization
- Personalized coping strategy library
Your progress this month
Tools for people. Visibility for professionals. Insights for institutions.
Mental Health Professional Dashboard
Give mental health professionals tools, not extra work. The dashboard surfaces the people who need them most, with full context — so every session starts informed.
Flagged person monitoring
See at-risk people ranked by urgency before they reach out
Conversation review
Access session transcripts (with person consent) to prepare for handoffs
Intervention scheduling
Book follow-ups directly from the dashboard without leaving the platform
Institutional wellbeing insights
Administrators gain population-level visibility into mental health trends — enabling smarter resource allocation and proactive policy-making.
Campus trend analytics
Anonymised wellbeing data across faculties, year groups, and campuses
Risk trend tracking
Identify high-stress periods like exams before they peak
Resource planning support
Data-driven recommendations for counseling staffing needs
Multi-layer mental health intelligence
Instead of simple chatbot responses, Rafi understands what's underneath — the emotion, the cause, the right approach — and acts on it.
Understands emotions
Emotion classification reads beyond words — tone, phrasing, and emotional context are all considered before a response is generated.
Identifies root causes
A causal reasoning layer identifies underlying stressors — academic, financial, social — so responses address the actual problem, not just the surface symptom.
Selects the right strategy
A planning module chooses from evidence-based counseling strategies — CBT, motivational interviewing, psychoeducation — matched to each person's situation.
Responds with empathy
Responses are warm, human, and culturally appropriate — not clinical or robotic. Bilingual in English and Swahili.
Detects crisis signals
A dedicated safety supervision layer watches every conversation for crisis indicators and escalates immediately — no delay, no missed signals.
Built for Kenya
Trained on the Kenyan university experience — local academic calendar, cultural context, and specific stressors that generic global products miss entirely.
Escalation when it matters most
Rafi knows its limits. A smart triage system ensures no person in crisis is left without human support.
AI handles independently
Everyday stress, academic pressure, mild anxiety. The AI provides coping strategies, guided exercises, and resource links. Session notes logged for trend monitoring.
Mental health professional alerted
Persistent distress, self-worth concerns, social isolation. AI flags the session and notifies the mental health professional dashboard. Warm handoff offered to the person.
Immediate professional connect
Suicidal ideation or self-harm signals detected. Mental health professional is immediately paged. Emergency contacts and Befrienders Kenya hotline presented. Session fully transferred.
Mental health professionals stay in control
A real-time dashboard shows session risk levels across the body, flagged cases, and complete conversation context — so mental health professionals can act fast with full information.
Built for trust from the ground up
Mental health data is deeply personal. Rafi treats it that way — with end-to-end encryption, strict access controls, and full compliance with Kenyan law.
End-to-end encryption
Every conversation is encrypted in transit and at rest. No third party can access student session data.
Consent-driven access
Counselors can only view session content with explicit student consent. Role-based access enforced at every level.
Kenya DPA 2019 compliant
Fully compliant with Kenya's Data Protection Act 2019. Institutional data processed and stored locally where required.
Secure cloud infrastructure
Built on enterprise-grade infrastructure with redundancy, monitoring, and penetration-tested security protocols.
Anonymous option
Students can use Rafi anonymously. Zero stigma — no institutional login required to start a conversation.
Privacy-first design
Data minimization by default. Only what's needed for care is stored. Students can delete their data at any time.
Powered by advanced AI
A multi-layer architecture designed specifically for the nuance and sensitivity required in mental health support.
Core AI pipeline
Trusted by Kenyan universities
Transform wellbeing
across your community
Rafi helps universities move from reactive counseling to proactive, always-on people support — starting with your next semester.