Embed Africa's Most Advanced Clinical AI into Your Platform
Stop building diagnostic AI from scratch. The Cybalife Clinical Intelligence Engine — with resilient enterprise-grade fallback — is now available as a secure, rate-limited REST API your product can call in minutes.
Who it's for
Built for healthcare platforms that move fast
You already have users and infrastructure. Cybalife gives you the Africa-aware diagnostic intelligence you cannot build alone in years.
Telemedicine Platforms
The problem: Your doctors do their best, but remote diagnosis lacks structured clinical depth.
Cybalife solves it: Embed ranked differentials and red-flag detection directly into your consultation flow.
EMR & HIMS Providers
The problem: Your records system captures data but cannot turn it into diagnostic intelligence.
Cybalife solves it: Add an AI triage layer that reads free-text symptoms and returns ICD-10-coded output.
Insurance & HMOs
The problem: Claims assessors rely on subjective provider notes, making fraud detection hard.
Cybalife solves it: Validate diagnostic submissions against an evidence-based differential in real time.
Integration
Up and running in three steps
No proprietary SDK required. Any HTTP client — Postman, cURL, your favourite language — can call the API.
Get your API key
Request a key from the Cybalife partner portal. Keys are tier-based — from evaluation (free) to enterprise — and are SHA-256 hashed at rest.
POST to /api/b2b/ai/generate
Send structured patient context, free-text symptoms, and a request_type (triage, differential, or treatment) with your x-api-key header.
Receive XAI-structured output
Get ranked diagnoses with ICD-10 codes, confidence scores, red flags, evidence citations, and an optional treatment plan — ready to render.
Endpoints
One endpoint, three clinical modes
All modes share the same route and authentication. Switch between them with request_type.
/api/b2b/ai/generate/api/b2b/ai/healthseverity (emergency / urgent / routine)diagnoses[] with ICD-10 + confidencered_flags[]overall_confidence
diagnoses[] ranked by confidenceICD-10 codesreasoning per diagnosisred_flags[]
treatment.items[] (medication / lifestyle / procedure)dosage & durationcontraindications[]follow-up guidance
Live Example
From Postman to production
A real triage request for a 34-year-old diabetic patient with respiratory symptoms, and the structured clinical response the engine returns.
POST /api/b2b/ai/generate HTTP/1.1
Host: api.cybalife.com
x-api-key: sk_live_YourApiKeyHere
Content-Type: application/json
{
"symptoms_text": "Patient presents with fever (38.9°C), productive cough for 3 days, and shortness of breath on exertion.",
"patient_context": {
"age": 34,
"gender": "female",
"existing_conditions": ["type 2 diabetes"]
},
"request_type": "triage"
}HTTP/1.1 201 Created
Content-Type: application/json
{
"request_type": "triage",
"model": "clinical-intelligence-engine",
"severity": "urgent",
"diagnoses": [
{
"condition": "Community-Acquired Pneumonia",
"confidence": 0.82,
"icd10": "J18.9",
"reasoning": "Fever, productive cough, and exertional dyspnoea in a diabetic patient strongly suggest lower respiratory tract infection."
},
{
"condition": "Pulmonary Tuberculosis",
"confidence": 0.41,
"icd10": "A15.0",
"reasoning": "Nigeria TB burden warrants exclusion in any productive-cough presentation over 2 weeks."
}
],
"red_flags": [
"SpO2 may be compromised — assess oxygen saturation",
"Diabetic patients face higher risk of severe pneumonia"
],
"overall_confidence": 0.79,
"disclaimer": "Clinical decision support only. Does not replace professional diagnosis.",
"usage": {
"inputTokens": 210,
"outputTokens": 340,
"totalTokens": 550,
"responseTimeMs": 1180
}
}Explainable AI (XAI) built in
Every diagnosis includes a reasoning field — plain-language clinical rationale referencing the patient's specific context. No black-box outputs. Clinicians and patients can see exactly why the engine flagged a condition, building trust from the first interaction.
Pricing
Start free, scale as you grow
Usage-based pricing mirrors your own growth. Upgrade your tier as call volume increases — no lock-in contracts.
Starter
₦0
Evaluation & prototyping
- Health check endpoint
- All 3 request types
- Swagger docs access
- Community support
Growth
Contact us
Early-stage platforms
- Everything in Starter
- Priority queue
- Usage dashboard
- Email support
Scale
Contact us
Growing platforms
- Everything in Growth
- Advanced clinical routing
- SLA response guarantee
- Dedicated onboarding
Enterprise
Custom
Hospital chains & Gov
- Everything in Scale
- Custom model fine-tuning
- On-premise / private cloud
- NDPA DPA support
Why Cybalife
Africa-aware, clinician-trusted, production-ready
Africa-specific disease knowledge
Differentials include geographically relevant conditions — malaria, typhoid, TB — alongside NCDs common to the dual-burden context of Nigerian healthcare.
Explainable AI (XAI)
Every suggestion includes plain-language clinical reasoning. Clinicians see the "why" behind every output, addressing the trust deficit that plagues black-box AI in African clinics.
NDPA-compliant by design
SHA-256 key hashing, TLS 1.3 in transit, RBAC, audit logging, and consent workflows are built into the platform — not bolted on.
Dual-model resilience
Cybalife uses layered model routing with automatic fallback for continuity. Your integration keeps receiving stable clinical responses even during provider failover.
Drug safety checks included
Treatment plans automatically include contraindication warnings and dosage guidance, reducing the risk of harmful prescriptions in low-pharmacist-oversight settings.
FHIR-ready roadmap
Architecture is being built to export outputs in HL7/FHIR format, aligning with Nigeria's NDHI national digital health initiative and the Africa on FHIR movement.
Ready to integrate?
Tell us about your platform. We will set up your API key, walk you through the endpoints on a 30-minute call, and have you sending your first live request the same day.