Cognatix builds intelligent platforms that connect data, decisions, and care delivery across the full healthcare value chain — from solo clinics to national referral hospitals, built for the realities of emerging markets.
From solo clinics to national referral hospitals, from complex multi-disciplinary care to global regulatory compliance — every platform is designed from first principles with AI embedded at the core, not bolted on.
End-to-end clinical workflow for doctors and small clinics — voice-first AI dictation, drug verification, scheduling, and revenue tracking. Your clinic, fully in command.
Telemedicine, async check-ins, and remote vitals monitoring for doctors managing patients beyond the clinic walls. Care that reaches further.
Post-encounter engagement, medication reminders, adherence tracking, and smart follow-up scheduling. Close the loop, keep patients well.
AI-native electronic health records with voice dictation, offline-first architecture, and FHIR R4 compliance. Built for emerging markets where other EHRs fail.
Intelligence-first Hospital Information System unifying patient flow, scheduling, supply chain, and asset management. Run smarter. Care better.
Agentic regulatory intelligence for life sciences — 24/7 global surveillance, AI signal detection, impact classification, and automated SoP generation.
Patient-centred care loops for complex, multi-disciplinary conditions — integrating hospital, remote, and home care with controlled access for every participant in the care journey.
Talk to our team about how Cognatix platforms can transform care delivery in your organisation.
We don't bolt AI onto legacy systems. Every Cognatix platform is architected from the ground up for agentic AI — systems that reason, plan, and act autonomously within clinical and operational workflows, built for the infrastructure realities of emerging markets.
Every platform is built around AI as the primary interface — voice dictation, predictive intelligence, and agentic workflows embedded at the core, not layered on top.
Full clinical and operational workflows function without internet. Sync resolves automatically on reconnection.
Runs on budget smartphones. Works in low-connectivity environments. Designed for Africa and South Asia from the ground up.
Swahili, Arabic, Hindi, French, Portuguese — voice and UI in the language clinicians actually work in.
Standards-compliant throughout — interoperable with national health infrastructure, insurance platforms, and lab systems.
Cognatix was founded on a simple but urgent conviction: healthcare systems in emerging markets are underserved by technology, and regulatory complexity in life sciences is accelerating faster than human teams can manage. AI can change both. From the solo GP with no digital support, to the hospital administrator flying blind without real-time operational data, to the regulatory team missing a critical compliance signal — the problems are clear and the solutions are buildable.
To make intelligent, agentic AI a practical reality for healthcare providers, care systems, and life sciences companies — particularly in markets where the gap between need and capability is widest.
We build platforms that don't require transformation budgets or AI expertise to adopt. From solo GP clinics to multi-site hospital networks — they work where the care is being delivered.
A world where a doctor in Nairobi has the same quality of AI-assisted decision support as one in Boston. Where a solo GP in rural India can manage compliance, care plans, and patient outcomes with the same intelligence as a large hospital network.
And where a busy hospital administrator in Nairobi has real-time visibility of every bed, every stockroom, and every piece of equipment — and where life sciences companies never miss a critical regulatory signal — because intelligent systems surface both automatically.
The Cognatix founding thesis starts from problems, not possibilities. We study where clinicians, hospital administrators, and care coordinators lose the most time to friction, error, and information overload. Then we build intelligent systems that absorb that friction — quietly, reliably, without requiring anyone to change how they fundamentally work.
Every model, every agent, every output is held to the standard that a clinician would stake their reputation on. We don't ship hallucinations.
We build for constrained infrastructure, multilingual contexts, and budget realities that most healthcare AI companies never consider.
The goal is always to make doctors more capable, not to substitute their judgment. AI earns trust through reliability and transparency.
HIPAA, DPDP, GDPR, NDPR — we navigate the full regulatory landscape of patient data protection across every market we serve.
No platform is an island. We design for interoperability — with existing EHRs, devices, lab systems, and care workflows.
Every deployment is a feedback loop. Our platforms get better with use — learning from corrections, new regulations, and clinical patterns in real time.
Whether you're a healthcare provider, life sciences company, or potential partner — we'd love to hear from you.
Your clinic, fully in command.
For the independent doctor seeing 10–30 patients a day, running a practice means being simultaneously a clinician, administrator, billing manager, pharmacist liaison, and patient records officer — often with no digital support at all.
DocChat Practice Management is an end-to-end clinical workflow platform that digitises every touchpoint of a patient encounter, from check-in to prescription delivery, using voice-first AI dictation. It eliminates paperwork and administrative friction so doctors can focus entirely on care — while staying clinically complete, legally documented, and financially tracked.
A 10-step encounter wizard guides doctors through symptoms, assessment, diagnostics, advice, prescription, reports, procedure notes, follow-up planning, and case closure — all driven by natural voice dictation. The AI transcribes and auto-organises content into structured clinical fields; no typing required.
Every prescribed medicine is checked against a comprehensive drug database in real time, flagging interactions and confirming dosage accuracy before the prescription is finalised.
Two-page prescription PDFs are generated instantly from the encounter and delivered directly to the patient via WhatsApp or printed at the desk — all within the consultation screen.
Live appointment queue with admit flow, waiting status, and one-tap encounter initiation from the schedule. Automated reminders reduce no-shows before they happen.
Per-consultation fee setting, daily transaction logs, collection rates, and monthly revenue tracking. Patient volume, top diagnoses, average consultation value, and return rates — all in one view.
An independent GP running 25 consultations a day uses Practice Management to eliminate paper prescriptions and manual records entirely. Voice dictation produces clinical notes before patients leave the room. Prescriptions are sent to the pharmacist. Revenue is tracked automatically.
A cardiologist uses the platform to manage patient history, track BP and weight trends across visits, document procedure notes, and generate referral letters — all within the consultation workflow without a separate admin team.
A 4-doctor family practice uses scheduling, queue management, and per-doctor revenue analytics to coordinate a full day of patients, reduce wait times, and understand which services drive the most return visits.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
Care that reaches further.
The moment a patient leaves the clinic, they often fall into a care gap. For people managing chronic conditions like hypertension, diabetes, or thyroid disorders — what happens between visits matters as much as the consultation itself.
DocChat Remote Patient Care is a telemedicine and asynchronous care platform that enables doctors to consult, monitor, and manage patients beyond the clinic walls. It bridges the gap between in-person visits through structured digital check-ins, remote vitals tracking, AI-assisted triage, and full prescription capability.
Patients submit structured symptom updates, photos, and vitals between visits. Doctors review and respond on their own schedule — no synchronous call required unless clinically needed.
Integration with patient-side devices or manual entry for BP, weight, blood glucose, and SpO2 — all visualised as longitudinal trends for the doctor, making deterioration visible before it becomes urgent.
Incoming patient reports are automatically prioritised by severity so doctors address the most clinically urgent cases first. No manual sorting of an inbox required.
Scheduled or on-demand video sessions with in-call prescription writing and encounter documentation. Full clinical context from prior check-ins is available in-call.
Full prescription capability with WhatsApp delivery — patients receive their prescription without visiting the clinic. Long-term condition tracking with protocol-based follow-up prompts and alert thresholds.
An internist managing 300 hypertension and diabetes patients uses Remote Patient Care to receive weekly BP and glucose readings from each patient, triage by risk, and conduct video reviews only for those trending poorly — making a large panel manageable without adding staff.
An endocrinologist seeing patients from a 200km radius uses async check-ins and remote monitoring to extend follow-up care between quarterly visits, catching non-adherence early and reducing unnecessary in-person consultations.
A corporate health provider uses the platform to give employees access to their assigned doctor for routine queries, medication refills, and health check-ins — reducing clinic visits and increasing employee health engagement.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
Close the loop. Keep patients well.
A consultation ends. The prescription is written, advice is given, and the patient walks out the door. What happens next determines whether the care actually works. Medications go untaken. Follow-ups are missed.
DocChat Care Loop is the post-encounter engagement and outcomes platform that ensures what a doctor prescribes actually gets followed. Through automated reminders, adherence tracking, timed outcome check-ins, and smart re-engagement workflows, Care Loop transforms a one-time consultation into a managed care journey.
WhatsApp or SMS reminders sent to patients at prescribed dosing times — personalised per their prescription and language preference. Pulls directly from the Practice Management encounter record; the loop starts automatically the moment an encounter is closed.
Patients confirm or report missed doses. The doctor sees an adherence dashboard per patient and per condition cohort — identifying who is at risk of treatment failure before the next visit.
Follow-up surveys are automatically sent after encounters (e.g., day 3, day 7) asking patients to rate symptoms. Responses feed back to the doctor with trend visibility.
AI-generated follow-up reminders triggered by condition type, prescription duration, or abnormal lab values — prompting patients to rebook at the right clinical moment, not arbitrarily.
Automated outreach to patients who have not returned after a defined period — for chronic conditions or incomplete treatment courses. Care gap alerts for doctors surface patients whose metrics are trending badly.
A GP clinic uses Care Loop to track medication adherence for 150 hypertension patients. Patients receive daily reminders and submit weekly BP readings. The doctor gets a dashboard showing who is non-adherent and whose BP is trending up — enabling targeted phone calls before crises occur.
After treating dengue patients, a clinic sends day-3 and day-7 check-in surveys to track recovery. Non-recovering patients are flagged for immediate follow-up. The clinic can quantify outcomes across all dengue cases for clinical audit.
A multi-doctor practice uses Care Loop to re-engage diabetic patients who have not returned for 90+ days. Automated outreach recovers 40% of lapsed patients within 30 days, improving outcomes and clinic revenue simultaneously.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
Speak. Think. Heal. — The EHR built for how clinicians actually work.
Electronic health records were supposed to transform healthcare. Instead, they transformed clinicians into data entry operators. The average doctor spends two hours documenting for every hour of patient care. In emerging markets, most EHR systems were built for high-resource settings and are unaffordable or simply unavailable.
Smart EHR is an AI-native Electronic Health Record platform purpose-built for hospitals and clinics in emerging markets. It replaces paper-based workflows with an intelligent, voice-first system that clinicians can actually use — on budget smartphones, in low-connectivity environments, in their own language.
Clinicians speak naturally during or after the consultation. Real-time transcription with a custom medical vocabulary delivers notes within 500ms. AI extracts diagnoses, medications, anatomy, and procedures — mapped to ICD-11 and SNOMED CT. A complete SOAP note is drafted in under 30 seconds, ready for one-tap sign-off.
When connectivity is unavailable, voice capture runs entirely on-device. Notes are stored locally and re-processed by the full cloud pipeline on reconnection. No internet means no interruption — voice capture, clinical records, orders, and medications all function offline.
Lab and imaging orders placed in the encounter flow directly to department worklists. Completed results return flagged for abnormal values. AI-assisted prescribing extracts medications from voice; pharmacist verification and eMAR administration complete the loop. Drug-allergy alerts fire at extraction — before the prescription is written.
Live bed board with colour-coded occupancy, patient identity, and status. Charge nurses manage admissions, transfers, and discharges from a real-time view. Ward census and length-of-stay tracking give administrators instant visibility.
Every AI proposal carries a confidence indicator: green, amber, or red. No FHIR resource — diagnosis, prescription, order, or clinical note — reaches final status without explicit clinician sign-off. AI is transparent about uncertainty; safety is enforced at the data layer, not just the UI.
A 150-bed county hospital replaces paper records with Smart EHR. Doctors dictate notes in Swahili; the AI structures them into FHIR-compliant records in real time. Lab orders are sent electronically to the lab worklist. Prescriptions route to pharmacy automatically. The facility operates with full offline capability during power cuts.
A chain of 12 clinics across Kenya deploys Smart EHR with offline capability in areas with intermittent connectivity. NHIF claims are generated automatically from consultation records — reducing claim preparation from 3 days to same-day submission.
A faith-based hospital serving a rural population uses Smart EHR on budget Android smartphones. Clinical officers document in local language, with the platform handling ICD-11 coding automatically. MOH reporting is generated in one click from structured FHIR data.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
Run Smarter. Care Better.
Running a hospital is not the same as treating patients. Behind every clinical encounter is a complex machinery of scheduling, patient flow, procurement, inventory, asset compliance, and real-time operational decision-making that determines whether the right care can be delivered at all.
Smart HIS is a comprehensive, AI-powered Hospital Information System that unifies, automates, and intelligently manages every administrative, operational, and supply-chain process across a modern health facility. It serves as the operational brain of a hospital, built on three pillars: Operational Excellence, Resource Intelligence, and AI-Driven Decision Support.
AI Appointment Slot Optimisation analyses clinician diary patterns and current demand to recommend optimal booking slots, eliminating idle time and double-booking. Multi-department token queues across OPD, pharmacy, lab, and radiology provide real-time visibility. When a facility is overloaded, AI Multi-Site Patient Routing automatically identifies available capacity at network sites.
Real-time stock monitoring across all store locations and wards, with forward-looking expiry tracking and proactive alerts. Predictive Inventory Reordering analyses consumption velocity and supplier lead-time variability to generate smarter replenishment recommendations. One-click PO generation routes through the supplier registry with full GRN reconciliation, integrated with Sage 300.
Full asset lifecycle management from acquisition to disposal — location, custodian, warranty, and depreciation tracked in a single register. AI Asset Maintenance Forecasting flags equipment due for preventive maintenance before failures occur. Calibration schedules link to regulatory certificates, with overdue alerts keeping the facility compliant.
Continuously monitors real-time queue wait times against SLA thresholds across all departments. Fires intelligent alerts the moment a threshold is breached — not after the fact. AI Staffing and Demand Pattern Detection identifies recurring congestion patterns and proactively recommends capacity adjustments.
Aggregates cross-module data into a single AI-enriched leadership view — combining patient flow, theatre utilisation, inventory health, and asset compliance into one actionable picture. Multi-site deployments enable group-level reporting and cross-facility patient routing from a consolidated command view.
A 300-bed county hospital deploys Smart HIS to manage OPD scheduling, multi-theatre coordination, pharmacy inventory, and biomedical equipment compliance in a single platform. AI routing reduces average OPD wait times by distributing patient load across departments in real time. Stockout incidents drop to near-zero with predictive reordering.
A group of 5 private hospitals across East Africa uses Smart HIS for centralised supply chain management and cross-facility patient routing. Group leadership accesses consolidated analytics across all sites from one dashboard. Sage 300 integration eliminates double-entry between supply chain and finance.
A faith-based hospital with limited biomedical engineering staff uses AI asset maintenance forecasting to ensure no equipment misses a service window. Proactive calibration alerts keep the facility compliant without a dedicated compliance officer. Inventory AI eliminates the chronic stockouts that previously disrupted surgical schedules.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
Agentic compliance monitoring that never sleeps.
Life sciences and pharmaceutical companies operate in one of the most complex regulatory environments on earth. FDA, EMA, TGA, MHRA, PMDA, and dozens of national bodies publish thousands of regulatory updates every year. Missing a critical change can mean product delays, recalls, warning letters, or enforcement action.
RegPulse is an agentic AI platform purpose-built to monitor, interpret, and act on regulatory changes across the full spectrum of global compliance bodies — automatically, continuously, and with the precision required for audit-ready regulatory intelligence.
AI agents monitor hundreds of global regulatory websites, safety databases, and press communications 24/7 — far beyond the practical limits of human teams. They ingest updates from FDA, EMA, TGA, MHRA, PMDA, and 60+ regulatory authorities, flagging relevant actions that may trigger a compliance response.
Not all updates are compliance-worthy. AI agents with NLP automatically recognise whether an action relates to serious health risk, distinguish meaningful risk signals from background noise, and map regulatory actions to your product portfolio or similar active substance classes.
Once a relevant signal is identified, AI agents extract key fields from source documents — regulatory authority, product identity, nature of the action, safety context, and confidence level. The platform then maps each change to affected product lines, manufacturing processes, and supply chain.
For each significant compliance change, RegPulse drafts updated Standard Operating Procedures tailored to affected departments — Regulatory Affairs, Quality, Manufacturing, Clinical. AI agents manage the entire notification workflow including assigning tasks and tracking submission deadlines.
RegPulse augments expert judgment, not replaces it. Experts validate AI-identified signals before submission; approvals are captured in audit trails; regulatory decisions and rationale are documented for inspection readiness. Every signal and assessment is logged in a complete, traceable audit trail.
A multinational pharmaceutical company uses RegPulse to monitor all markets where it sells products. When FDA publishes new labelling guidance, the platform identifies affected products within hours, drafts label change SoPs for Regulatory Affairs review, and posts deadline-tracked tasks to the compliance workflow.
A medical device company managing EU MDR compliance uses RegPulse to track all MDR implementation guidance and automatically maps each update to specific product lines. Technical Documentation update tasks are generated and assigned automatically, with escalation triggered as submission deadlines approach.
A contract research organisation uses RegPulse to monitor ICH guidelines and regional GCP updates across all active trial geographies, ensuring trial protocols remain compliant as regulations evolve.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
The patient is at the centre. Every participant in the loop.
Some health conditions cannot be managed in a single consultation, by a single specialist, or across a single care setting. Cancer treatment. Major organ surgery. Neurological recovery. These journeys span months or years, involve teams of clinicians from different disciplines, and demand continuous, coordinated action from every participant.
Connected Care is a multi-role intelligent care platform that places the patient at the centre of a structured care loop, connecting lead physicians, specialist consultants, nurses, healthcare providers, family members, and caregivers in a single governed environment. The platform integrates in-hospital care, remote monitoring, and home care provision into one continuous, controlled care experience.
The lead physician creates a care loop for the patient and assembles the team — specialist consultants, nurses, healthcare providers, the patient, family members, and caregivers. Each participant is assigned a role that governs exactly what data they can see, what actions they can take, and how they communicate. The patient controls what is shared with family; the lead physician controls clinical access for the care team.
Patients log in to a personalised care view showing their diagnosis, prognosis, upcoming appointments, current prescriptions, diet and nutrition plans, exercise and rehabilitation protocols, and all other recovery instructions — presented in accessible, non-clinical language. Caregivers see a controlled view including appointment schedules, care instructions, medication reminders, and daily task lists. Both can upload images, videos, and diagnostic reports from home for the care team to review.
The clinical team designs a structured, phased care pathway tailored to the patient's specific condition, intervention plan, and recovery profile. Each phase carries clinical milestones, daily care instructions, rehabilitation targets, dietary requirements, and medication protocols. As the patient progresses, the pathway is updated and all participants are notified.
Specialists contribute findings and recommendations asynchronously within the loop. The lead physician synthesises multi-disciplinary input into formal care decisions posted to the loop. Secure messaging connects all participants — clinicians, nurses, patients, and caregivers — within role-appropriate channels. Uploaded media from home care is reviewed and responded to directly within the loop.
Connected Care unifies all three care environments in a single platform. In-hospital care is coordinated through daily clinical task lists and procedure scheduling. Remote monitoring captures patient-reported outcomes and home observations through the patient portal. Home care is guided by structured daily instructions visible to both patient and caregiver. Clinicians have a unified view across all three settings at all times.
A patient undergoing breast cancer treatment has a care loop including her oncologist (lead), breast surgeon, medical oncologist, radiation oncologist, cardiologist, physiotherapist, oncology nurse, and dietitian. Her treatment pathway runs from diagnosis through surgery, chemotherapy, radiation, and 24-month follow-up. Family members receive daily updates in plain language.
After a major liver transplant, a patient's care loop includes the transplant surgeon, hepatologist, infectious disease specialist, nephrologist, physiotherapist, dietitian, ward nursing team, and family members. The 90-day post-transplant recovery pathway drives daily care instructions for nursing and caregivers.
A patient with Parkinson's disease has a care loop connecting their neurologist, geriatrician, physiotherapist, speech therapist, community nurse, and family caregivers. The care pathway is oriented around quality of life milestones — fall prevention, daily mobility targets, speech exercises. Caregivers receive structured daily task lists.
Schedule a personalised demonstration with our team. We will show you how the platform addresses your specific challenges and discuss implementation options.
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