An always-available first-line support layer for stress, anxiety, heartbreak, overthinking, life pressure, and money-related distress. KOFEL AI combines deep emotional intelligence with structured, safe actionable plans—scaling access where resources are limited.
>1 Billion
Globally dealing with mental health conditions
65% – 90%
African Mental Health Treatment Gap
100% Secure
Always-private vector memory architecture
I hear the heavy weight of financial pressure in your words. It is completely natural to feel exhausted in this pit. Let's take power back. Let's start with one tiny reversible step together.
Our design values prioritize human emotional safety over conversational noise. We do not mimic friendship; we orchestrate healing and resolution.
Empathetic, non-robotic, and culturally aware responses that understand context and slang.
Guided pathways for stress, rather than endless loops of generic, open-ended chat rooms.
Comprehensive guardrails, crisis triaging, and region-focused clinician referral routing.
Provides tangible worksheets, grounding tasks, and breathing resets over empty sympathy.
Seamlessly hands over flagged or highly distressed cases to real-world healthcare networks.
Unlike static models that blindly respond to text, KOFEL coordinates input safety, emotion, intent, risks, policy filters, and persistent memories before generating custom responses.
Choose one of the core distress scenarios to simulate the routing and planning behavior of KOFEL.
Unlike clinical search engine replacements, KOFEL detects high distress in milliseconds and renders an instant Crisis Card with offline mental safety networks custom-fit for Nigeria and Sub-Saharan contexts.
"My hands are shaking, I have a big work deadline and my mind won't stop spiraling."
I notice how racing and physical this anxiety feels. Let's pause right here together. You do not have to solve the whole deadline in this single moment. Let's do a quick physical reset first.
{
"emotion": "anxiety",
"intent": "seeking_advice",
"risk": "low",
"path": "panic_reframe_act",
"micro_action": "3_breath_reset",
"needs_disclaimer": true,
"needs_human_nudge": false
}
According to statistics from the World Health Organization (WHO), more than 1 billion people live with a mental health condition. WHO Africa highlights a treatment gap of 65% to 90% in developing world contexts like Nigeria, where access to specialized psychiatrists and counseling is restricted.
KOFEL AI scales caring capability. Engineered by Foyem Information Technology Limited, it acts as an automated, empathetic digital concierge that guides, reframes, and directs users securely while remaining perfectly compatible with low-latency shared hosting environments.
Directly aligns with expanding frontline mental health care in resource-strapped regions.
Automatic triage mechanisms immediately isolate critical risk statements.
KOFEL is structured as a modular cloud-native system representing reliable architectural compliance.
Cross-platform mobile apps and secure responsive web applications built for speed.
Secure request management checking proxy rate limits and validation maps.
Age gating, crisis parsing, prompt protection, and localized region safety mapping.
The KOFEL H.E.A.R.T.S engine coordinating emotion metrics and policy constraints.
Mobile environments powered by Flutter for unified Android/iOS codebases, paired with static frontends to minimize infrastructure costs.
Highly performant Python FastAPI framework optimized for speed during lookups, backed by specialized relational database queues.
Unified relational table system scaling to handle millions of records. Embeddings stored using pgvector to allow seamless search of memories.
Dual-stage deployment: start on API model systems for fast GTM. Transition core microservices into custom inference models on secure servers.
KOFEL operates a safe relational structure to handle authorization scopes, age compliance gates, and highly confidential conversation flows. Check the database architecture for primary transactional tables:
Note: The memory_items table contains a salience_score (float) with an open-source embedding vector for semantically retrieving conversational contexts in the pipeline.
-- Core User Account Store
CREATE TABLE users (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
email VARCHAR(255) UNIQUE,
phone VARCHAR(20),
hashed_password VARCHAR(255) NOT NULL,
status VARCHAR(50) DEFAULT 'active',
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);
-- Meta details supporting localized Crisis detection
CREATE TABLE user_profiles (
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
preferred_name VARCHAR(100),
age_band VARCHAR(20) CHECK (age_band IN ('under-18', '18-24', '25-44', '45+')),
country VARCHAR(100) DEFAULT 'Nigeria',
language VARCHAR(50) DEFAULT 'English',
crisis_region VARCHAR(100) DEFAULT 'NG-LA',
preferences_json JSONB,
PRIMARY KEY (user_id)
);
Integrate the KOFEL emotional safety broker system seamlessly into external health apps via fast, standards-based API endpoints.
Used by client mobile apps and web platforms for core operations.
Private interfaces connecting safety filters, risk estimators, and memory vectors.
Scaling clinically-sound first-line mental health triage safely across low and middle-income markets.
WHO reports that over 1 billion people currently suffer from mental health conditions. In low and middle-income territories, particularly across cities like Lagos and Abuja, the deficit is severe, with a treatment gap reaching 65% to 90%.
KOFEL is an emotionally safe support layer. It is built strictly on safe validation principles; it does not replace therapists, diagnose clinical conditions, or prescribe drugs. If things escalate to high distress, KOFEL automatically triggers region-specific help networks:
If you are in danger of self-harm, please step away from KOFEL and call emergency contacts instantly. KOFEL will provide a visible dialog card immediately whenever critical keywords are parsed.