The Founding
Born in the Clinic,
Built for the World
Alkenity was not conceived in a boardroom — it was forged in the gap between what clinicians needed and what technology offered them. During doctoral research deeply embedded in clinical practice, the founders witnessed firsthand how fragmented data, siloed systems, and one-size-fits-all protocols were failing patients. The PhD thesis that became Alkenity's intellectual foundation proposed a radical idea: that clinical data should be experienced spatially — mapped to the living anatomy that generated it — and that AI should augment, not replace, clinical reasoning. That thesis became a prototype. That prototype became a platform. That platform is Alkenity.
Dr. Oluwaseun Adeyemi
Co-Founder & CEO
Physician-engineer with a PhD in Biomedical Informatics. Former clinical researcher at Lagos University Teaching Hospital, where his doctoral work on spatial clinical data representation became the intellectual basis for the 3D-SRPD framework. Practiced internal medicine for six years before founding Alkenity.
Clinical Informatics
Internal Medicine
PhD — Biomedical AI
Amara Khoury
Co-Founder & CTO
Computational scientist specializing in medical imaging and 3D visualization. MSc in Computer Science from the University of Cape Town, with research in extended reality for surgical planning. Previously built ML infrastructure at a leading digital health company in Nairobi. Architect of Alkenity's core rendering and AI pipeline.
3D Visualization
Machine Learning
XR Systems
Dr. Emeka Nwosu
Co-Founder & Chief Medical Officer
Cardiologist and health systems strategist with 12 years of practice across West Africa. Fellow of the West African College of Physicians. Led telemedicine deployment programs connecting rural clinics to specialist networks. Bridges the gap between clinical reality and technological possibility within Alkenity.
Cardiology
Telehealth Systems
Health Policy
Solution 01
AI-Driven Telehealth &
Clinical Voice Assistant
Extending specialist-grade care to rural and underserved communities through AI-powered virtual consultations — always under physician supervision, always backed by real-time clinical decision support.
01 The Problem
Over 50% of the global population lacks access to essential health services. In rural Africa, a single doctor may serve tens of thousands of patients. Specialist consultations require hours of travel — if they're available at all. Delayed diagnoses become preventable deaths.
02 Our Approach
Alkenity deploys an AI clinical voice assistant at the point of care — a community health worker or rural clinic nurse interacts with the patient while the AI captures symptoms, maps them to clinical ontologies, and generates structured clinical data in real time. A supervising physician connected via telehealth reviews the AI's assessment, CDSS recommendations, and directly guides care — combining human judgment with computational precision.
03 Key Capabilities
Multilingual Voice Interface
Natural language clinical intake in local languages, transcribed and coded to ICD-11 and SNOMED-CT in real time.
CDSS-Backed Triage
AI-generated differential diagnoses and severity scoring, surfaced to the supervising physician for review and approval.
Remote Vital Integration
Bluetooth-connected RPM devices (pulse oximetry, BP cuffs, glucometers) stream data directly into the consultation.
Physician Override & Audit
Every AI recommendation requires physician confirmation. Complete audit trail ensures accountability and regulatory compliance.
Solution 02
CDSS Integrated
with EMR
Clinical Decision Support that lives where decisions are made — natively embedded in the electronic medical record, delivering evidence-based intelligence without disrupting clinical workflow.
01 The Problem
Clinicians face information overload. Guidelines change constantly, drug interactions are complex, and diagnostic reasoning under time pressure leads to avoidable errors. Standalone CDSS tools go unused because they sit outside the workflow — requiring extra clicks, extra screens, extra cognitive load.
02 Our Approach
Alkenity's CDSS is not a bolt-on module. It is architecturally woven into the EMR fabric via HL7 FHIR R4 and CDS Hooks. When a clinician enters an order, reviews a lab, or opens a patient chart — the CDSS activates contextually. Alerts are risk-stratified so that only actionable, high-confidence recommendations surface. No alert fatigue. No workflow disruption.
03 Key Capabilities
Contextual Alerts
Drug-drug interactions, allergy cross-reactivity, contraindication flags — surfaced at the point of prescribing.
Differential Diagnosis Engine
AI-generated differential lists ranked by probability, incorporating patient history, labs, and imaging data.
Guideline Adherence
Real-time monitoring of clinical pathways against current evidence-based guidelines (AHA, WHO, NICE, local protocols).
Closed-Loop Feedback
Outcomes data flows back into the CDSS to continuously improve recommendation accuracy for your patient population.
Solution 03
Digital Twin for
Personalized & Proactive Care
A living, breathing 3D-SRPD replica of the patient — where every biomarker, every scan, every vital sign is spatially anchored to the anatomy that produced it. Care becomes predictive, not reactive.
01 The Problem
Clinical data today is fragmented — labs in one system, imaging in another, vitals on a separate monitor, genomics in a PDF. Clinicians must mentally reconstruct the patient from disconnected sources. This cognitive burden slows decision-making and masks patterns that span organ systems.
02 Our Approach
Alkenity's Digital Twin uses the 3D-SRPD framework to create a patient-specific anatomical model that ingests and spatially localizes all clinical data. Liver enzymes appear on the liver. Cardiac waveforms orbit the heart. Pulmonary function tests map to lung segments. The clinician sees the whole patient — not a stack of reports — and AI continuously scans for emerging risk patterns across all systems simultaneously.
03 Key Capabilities
Anatomical Data Localization
Every lab value, imaging finding, and vital sign automatically mapped to its originating anatomical structure.
Predictive Risk Modeling
AI-driven trajectory analysis identifies deterioration patterns 12–48 hours before clinical manifestation.
Treatment Simulation
Model the expected physiological response to a proposed treatment before administering it — reducing trial-and-error prescribing.
XR Visualization
Export the Digital Twin to AR/VR headsets for immersive multidisciplinary team reviews and surgical planning.
Solution 04
AI-Powered
My Health Record App
A patient-facing application that puts individuals in control of their own health data — with AI-driven insights, medication management, and seamless provider connectivity.
01 The Problem
Patients are the most underutilized resource in healthcare. They carry vital context — symptoms, lifestyle, medication adherence, family history — that never reaches the clinical record. Meanwhile, they receive lab results they can't interpret, prescriptions they don't understand, and care plans they can't follow.
02 Our Approach
Alkenity's My Health Record app gives patients a unified, intelligent health dashboard. AI translates lab results into plain language, flags medication interactions, tracks symptom patterns over time, and generates health insights personalized to the individual's history and risk profile. With patient consent, data flows directly to their care team — closing the loop between visits.
03 Key Capabilities
AI Lab Interpreter
Every lab result explained in plain language with trend graphs and personalized context — no more Googling your bloodwork.
Medication Manager
Smart reminders, interaction checks, refill tracking, and adherence analytics shared with the care team.
Symptom Journal
AI-assisted symptom logging that learns individual patterns and generates structured data for clinical use.
Secure Provider Link
One-tap sharing of health records with any Alkenity-connected provider. Patient-controlled data portability.
Solution 05
AI-Powered Clinical
Dashboard — ICU
A real-time intensive care command center that consolidates multi-device data streams, AI-driven early warning systems, and predictive analytics into a single actionable interface for critical care teams.
01 The Problem
ICU clinicians monitor an average of 15+ data streams per patient — ventilator parameters, hemodynamics, infusion rates, labs, imaging. Information is scattered across monitors, paper records, and siloed systems. By the time sepsis or deterioration is recognized from conventional signals, the intervention window has often narrowed.
02 Our Approach
Alkenity's ICU Dashboard fuses all bedside data into a unified AI-powered interface. Machine learning models continuously analyze vital sign patterns, laboratory trends, and medication responses to generate early warning scores hours before conventional triggers fire. The dashboard surfaces the signal from the noise — so critical care teams focus on what matters, when it matters.
03 Key Capabilities
Predictive Sepsis Detection
AI models identify sepsis onset 6–12 hours before traditional SIRS/qSOFA criteria, enabling earlier intervention.
Ventilator Analytics
Real-time waveform analysis with AI-guided weaning protocols and patient-ventilator asynchrony detection.
Hemodynamic Monitoring
Continuous cardiac output estimation, fluid responsiveness prediction, and vasopressor optimization guidance.
Multi-Patient Overview
Bird's-eye view of all ICU patients ranked by acuity score — enabling charge nurses and attendings to allocate attention by risk.
Solution 06
AI-Powered Clinical
Dashboard — Public Health
A population-level surveillance and analytics platform designed for ministries of health, state agencies, and international health organizations — enabling data-driven public health policy at national scale.
01 The Problem
Public health authorities operate with incomplete, delayed data. Disease outbreaks are detected weeks after they begin. Vaccination coverage is estimated, not measured. Resource allocation decisions are made on intuition rather than evidence. The gap between clinical data generation and policy action costs lives.
02 Our Approach
Alkenity's Public Health Dashboard aggregates anonymized, real-time clinical data from connected health facilities into a geospatial intelligence layer. AI models detect outbreak signals, forecast disease trajectories, and optimize resource deployment — giving public health leaders the situational awareness to act decisively, not reactively.
03 Key Capabilities
Outbreak Detection
Anomaly detection algorithms identify unusual disease clustering days before traditional sentinel surveillance systems.
Vaccination Coverage Mapping
Real-time geospatial visualization of immunization rates by district, facility, and demographic — identifying coverage gaps.
Resource Optimization
AI-driven allocation models for medications, equipment, and personnel — matching supply to predicted demand.
Epidemiological Forecasting
Predictive models for disease incidence, seasonal trends, and intervention impact — supporting evidence-based health policy.
Request Access
Schedule a
Platform Demo
Tell us about your organization and clinical needs. Our team will prepare a personalized demonstration of the Alkenity platform tailored to your use case.
Research
Download
Whitepaper
Access our technical whitepaper: "3D-SRPD: A Framework for Spatial Representation of Patient Data in Clinical Decision Support Systems" — detailing the architecture, clinical validation, and implementation methodology behind the Alkenity platform.
What's Inside
3D-SRPD Architecture
Technical deep-dive into the spatial data mapping framework, anatomical ontology, and rendering pipeline.
Clinical Validation
Study results demonstrating diagnostic accuracy improvements and clinician workflow efficiency gains.
Integration Patterns
HL7 FHIR, CDS Hooks, and SMART on FHIR implementation guides for health system IT teams.
Deployment Roadmap
Phased implementation strategy from pilot to enterprise-wide deployment across care settings.
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Legal
Privacy Policy
Last updated: March 2026
Data Collection
Alkenity Health Technologies collects personal information necessary to provide our clinical AI platform services. This includes information you provide directly (name, email, organization), technical data (device type, IP address, usage analytics), and clinical data processed through the platform on behalf of healthcare organizations.
Clinical Data
Patient health information processed through the Alkenity platform is handled in strict compliance with HIPAA, GDPR, and applicable local data protection regulations. All clinical data is encrypted at rest (AES-256) and in transit (TLS 1.3). Alkenity acts as a Business Associate under HIPAA and a Data Processor under GDPR.
Data Use
We use collected data to: provide and improve platform services, generate de-identified analytics for clinical quality improvement, communicate with users about their accounts, and comply with legal obligations. We do not sell personal or clinical data to third parties.
Data Retention
Personal data is retained for the duration of the service agreement plus 7 years for audit compliance. Clinical data retention policies are governed by the healthcare organization's data retention schedule and applicable regulations.
Your Rights
Depending on your jurisdiction, you may have the right to access, correct, delete, or export your personal data. To exercise these rights, contact our Data Protection Officer at privacy@alkenity.com.
For questions about this policy, contact: privacy@alkenity.com
Legal
Terms of Service
Last updated: March 2026
Acceptance
By accessing or using the Alkenity platform, you agree to be bound by these Terms of Service. If you are entering into this agreement on behalf of a healthcare organization, you represent that you have the authority to bind that organization.
Platform Use
Alkenity provides AI-powered clinical decision support tools. These tools are designed to assist — not replace — clinical judgment. All treatment decisions remain the responsibility of the licensed healthcare provider. Alkenity's recommendations should be validated against clinical assessment before acting.
Clinical Disclaimer
The Alkenity platform is a clinical decision support tool classified as a Software as a Medical Device (SaMD). It is not intended to be the sole basis for clinical decisions. Healthcare providers retain full clinical responsibility for patient care. AI-generated recommendations are advisory and must be reviewed by qualified clinicians.
Intellectual Property
All platform technology, including the 3D-SRPD framework, AI models, algorithms, and user interface designs, are the intellectual property of Alkenity Health Technologies. Users are granted a limited, non-exclusive license to use the platform for its intended clinical purpose during the term of their subscription.
Limitation of Liability
Alkenity's liability is limited to the fees paid for platform access during the 12-month period preceding any claim. Alkenity is not liable for clinical outcomes resulting from the use or misuse of platform-generated recommendations.
For legal inquiries, contact: legal@alkenity.com
Infrastructure
Security &
Compliance
Security is foundational, not an afterthought. Alkenity is built to meet the most stringent healthcare data protection standards globally.
Certifications & Compliance
HIPAA
Full HIPAA compliance with BAA execution for all healthcare partners. Administrative, physical, and technical safeguards implemented.
SOC 2 Type II
Annual audit for security, availability, processing integrity, confidentiality, and privacy trust service criteria.
ISO 27001
Certified Information Security Management System covering all platform operations and data handling.
GDPR
Full GDPR compliance including Data Processing Agreements, data minimization, right to erasure, and cross-border transfer mechanisms.
Technical Safeguards
End-to-end encryption (AES-256 at rest, TLS 1.3 in transit). Zero-trust network architecture. Role-based access control with MFA enforcement. Real-time intrusion detection and automated threat response. Regular penetration testing by independent security firms. Immutable audit logging for all data access events.
Data Sovereignty
Alkenity supports sovereign cloud deployments, ensuring clinical data remains within national borders where required by regulation. On-premise deployment options available for organizations with strict data residency requirements.
To report a security concern: security@alkenity.com
Join Us
Build the Future of
Clinical Intelligence
We're assembling a team of clinician-engineers, AI researchers, and health systems thinkers who believe Africa can lead the next era of healthcare technology. If that's you — we want to talk.
Open Positions
Senior ML Engineer — Clinical AI
Build and deploy production ML models for clinical decision support. Experience with medical NLP, imaging, or time-series data. Remote (Africa preferred).
3D Visualization Engineer
Develop the 3D-SRPD rendering pipeline. Expertise in Three.js/WebGL, medical imaging (DICOM), and real-time data visualization. Lagos or Remote.
Clinical Informatics Lead
Bridge clinical workflows and technology. Medical degree + informatics training. Lead CDSS validation studies and clinical integration. Lagos.
Backend Engineer — FHIR/Interoperability
Build the integration layer connecting Alkenity to EHR systems. Deep knowledge of HL7 FHIR R4, CDS Hooks, SMART on FHIR. Remote.
Why Alkenity
We're not importing solutions built elsewhere. We're building world-class clinical AI from Africa — for Africa and for the world. You'll work at the intersection of medicine, AI, and spatial computing, solving problems that directly impact patient outcomes. Competitive compensation, equity participation, and the chance to shape a platform that could redefine clinical care for millions.
Send your CV and a note about why you're drawn to this work:
careers@alkenity.com
ALKENITY