Healthcare AI,
built for African medicine.
We make three products: PharmaDoyen flags drug interactions at the pharmacy counter, Toda AI adjudicates insurance claims in under an hour, and Clinical Intelligence turns hospital EMR data into a research-ready asset in 60 days.
adjudication
medication safety
research-ready
pharmacist per day
One platform.
Three products.
Each one built for a specific role in African healthcare. Not adapted. Not ported. Built from scratch.
PharmaDoyen
Real-time drug interaction flagging. OTC guidance. Doctor-referral workflows — all within the pharmacy's legal scope.
Toda AI
Multi-day claims backlogs become 24-hour decisions. Fraud detection trained on African patterns. ICD-10/11 coding and full audit trails.
Clinical Intelligence
A managed sprint that converts hospital EMR data into a de-identified, research-ready dataset. Raw records never leave your walls.
The consultation,
written as it happens.
Every patient answer adds a row to the clinical picture on the right — medications, allergies, conditions, chief complaint. The pharmacist asks, the patient replies, and the file builds itself in the margin.
Built for Africa's
healthcare reality.
Western models don't fit African clinics. Our AI is trained on the diseases, workflows, and regulations of this continent — not translated for it.
Local clinical context
AI trained on African disease profiles — tropical diseases, endemic infections, nutritional deficiencies — alongside global conditions.
Sovereignty-first architecture
Zero-ingestion processing keeps raw patient data within hospital custody. Compliant with NDPA, NHA, and HIPAA bridge requirements.
Clinician autonomy preserved
AI is supportive, never prescriptive. Every suggestion is editable. Human decision-making is always final.
Low barrier deployment
No infrastructure overhaul. Products integrate with existing EMRs and workflows within days, not months.
Built on rigorous
clinical science.
Every model grounded in peer-reviewed research. Every pipeline privacy-preserving by design.
Contextual disease modelling
AI systems trained to recognize African-prevalent conditions alongside global diagnostics — tropical diseases, endemic infections, nutritional profiles.
Privacy-preserving architecture
Zero-ingestion pipelines, Safe Harbor de-identification, and longitudinal linkage without processing direct identifiers — sovereign by design.
Global interoperability
FHIR, LOINC, ICD-10/11, OMOP — every dataset adheres to international standards demanded by global research buyers.
What early testers are telling us
First-look impressions from pharmacists, claims leads, and clinicians piloting Syncorix — before outcomes, before scale.
"I tried it on my Wednesday shift. First thing that caught me was a warfarin/NSAID flag before I'd even looked up at the patient. I would have caught it — but not that quickly. Ask me again in a month, but so far it hasn't got in my way."
"What I actually want to know with any new tool is whether it slows me down or helps me. During the pilot it was mostly helpful. Two of the flags I dismissed because I already knew — but one I nearly missed. Elderly patient on three BP meds. That one alert made the rest worth it."
"Honest answer — I was expecting to turn most of the alerts off. I haven't had to. The flags are specific enough that when it does stop me, it's usually worth the second look. We'll see how it holds up during a busy Saturday."
Ready to see it
in your workflow?
Pharmacist, insurer, or hospital — there's a product built exactly for the work you do.