Physical AI Clinical Infrastructure · Device-Agnostic Host Layer
Version 1.0, 2.0, 3.0, Edge AI, Resilience Edition · 2026
A single, room-deployable clinical terminal that acquires objective physiological ground truth across 120+ sensor modalities, validates inputs before inference, reasons longitudinally across the patient's full history, and escalates to a human clinician under a governed protocol - entirely on-device, without cloud dependency.
**Actual Product may have variations in shape, color, size and configuration based on production batch/Year
Sensor Matrix
Every modality is clinically validated against reference equipment. Inputs are quality-gated before inference. These are not wellness sensors - they are clinical instruments.
The platform also supports AI-assisted reading of locally available Rapid Diagnostic Kits (RDKs), enabling standardized interpretation and digital reporting for infectious disease, cardiac marker, pregnancy, and other rapid screening tests - is available in the Technical White Paper.
System Architecture
ZoyeMed is structured as a layered clinical operating system. Each layer has a distinct function, runs at a different tempo, and can independently refuse, escalate, or block. No single model. No black box.
Clinical Use Cases
ZoyeMed's deployment model is institutional. Each partner type has specific clinical objectives, regulatory requirements, and commercial structures.
For Ministries of Health and national public-health agencies. ZoyeMed extends clinical-grade access into geographies where physicians are unavailable - and simultaneously builds a real-time epidemiological intelligence layer over the deployment. Every terminal is a clinical encounter point and a population health sensor simultaneously.
Active deployment: Mexico under the Más Salud programme (Grupo Salinas / Elektra network). Colombia under a multi-year institutional agreement.
Discuss National Programme →For hospital networks and integrated health systems. ZoyeMed distributes diagnostic depth into spoke catchments while preserving central clinical authority, audit, and specialist oversight. FHIR R4 output integrates natively with existing HIS and EMR systems. Specialist time is leveraged across five to ten times more encounters per hour.
Typical deployment: Fleet of 100+ units across distributed network sites. Full operator training programme. Ongoing PMCF support.
Discuss Network Deployment →For health insurers and payer organisations. ZoyeMed replaces self-reported health declarations with objective sensor-derived data at the point of clinical encounter, enabling risk detection before threshold-based diagnosis, longitudinal member analytics, and verified clinical event records that cannot be retrospectively fabricated.
Key capability: Longitudinal trajectory model surfaces drift toward chronic conditions earlier than snapshot diagnostics - enabling earlier intervention at lower long-term cost.
Discuss Payer Integration →For industrial, occupational health, and large corporate campus operators. ZoyeMed deploys clinical-grade health monitoring at industrial scale - across mines, factories, oilfields, smart cities, and large campuses - without requiring site evacuation for worker health encounters.
Key capability: Real-time detection of occupational disease patterns - respiratory function shifts, biomarker cluster anomalies, occupational toxin exposure indicators - across the full cohort.
Discuss Industrial Deployment →For large retail and commercial operators embedding healthcare access within existing consumer footprints. The Más Salud programme with Grupo Salinas demonstrates this at scale: ZoyeMed terminals deployed across Elektra retail locations throughout Mexico, transforming points of daily commerce into clinical-grade diagnostic environments accessible to millions.
Active deployment: Elektra network, Mexico City and expanding. 18,224 PMCF-documented consultations through February 2026.
Discuss Commercial Deployment →Interoperability
ZoyeMed outputs structured, standards-compliant clinical data. It integrates with existing HIS, EMR, PACS, and national health platforms without requiring custom connectors at the clinical data layer.
Deployment Model
ZoyeMed deploys as a fleet. Typical programmes begin at 100+ units. Per-client configuration handles all jurisdiction-specific compliance at the governance layer - without branching the codebase.
Market Position
The digital health market has sorted into four operating categories. Each addresses one dimension of clinical care delivery. ZoyeMed is a fifth - a physical AI clinical infrastructure layer that integrates all four.
| Capability | Chatbot / LLM AI | Telemedicine | EHR Analytics | Diagnostic Kiosk | ZoyeMed 3.0 |
|---|---|---|---|---|---|
| Direct sensor acquisition | ✗ None | ✗ None | ✗ None | ~ 3-8 sensors | ✓ 120+ modalities |
| Clinical-grade validated inputs | ✗ No | ✗ No | ~ Depends on EHR | ~ Partial | ✓ Full validation gate |
| On-device edge inference | ✗ Cloud only | ✗ Cloud only | ✗ Cloud only | ~ Limited | ✓ Full edge inference |
| Longitudinal patient memory | ✗ No | ~ Session only | ✓ Yes | ✗ No | ✓ Full longitudinal AI |
| Safety gate / refusal | ✗ No | ✗ No | ✗ No | ✗ No | ✓ Multi-stage gate |
| Clinician governance layer | ✗ No | ✓ Yes | ~ Partial | ~ Optional | ✓ Mandatory sign-off |
| FHIR R4 interoperability | ✗ No | ~ Varies | ✓ Yes | ✗ Rarely | ✓ Full FHIR R4 |
| Medical device classification | ✗ None | ~ Software only | ~ Software only | ~ Limited scope | ✓ SaMD |
| Offline / no-connectivity operation | ✗ No | ✗ No | ✗ No | ~ Partial | ✓ Full offline operation |
A thirteen-platform, seven-axis competitive analysis is available in the Technical White Paper - The Category Nobody Else Is Building.
Clinical Evidence
18,224 PMCF-documented consultations. A published Post-Market Clinical Experience Report. A regulatory programme across five jurisdictions. The clinical record precedes the market claim.
Regulatory & IP Status
ZoyeMed 3.0 is a regulated medical device. Regulatory classification is a design constraint - it forces clinical quality at the input layer, not a marketing label applied after the fact.
ZoyeMed® is a registered trademark of Zoya Technologies LLC. Full regulatory dossier available to qualified regulatory reviewers under NDA. Contact our regulatory team →
The Zoya Technologies Product Suite
ZoyeMed 3.0 is the flagship clinical terminal. Around it sits a connected suite of products - a patient app, a diagnostic chair, and a clinical smartwatch - all sharing the same longitudinal AI layer, the same data architecture, and the same principle: sense before you reason.
Product 02 · Virtual Clinic Platform for Doctors
Your clinic, wherever your patient is.
Open your own virtual clinic, in your name. See patients online and in person from one record, one prescription pad and one appointment book, with licensed clinical software beside you. Every decision stays yours.
You already answer patients by phone and WhatsApp - often unpaid, never on record. Zoyel Virtual Clinics keeps what India's Telemedicine Practice Guidelines ask of you: consent, the interaction log, patient records and a copy of every prescription. A chat thread is not a clinic. This is.
Verify your registration and identity, name your clinic, set hours and fees.
Free go-live training before your first consultation. No obligation.
Patients book, you consult, the record keeps itself in order.
For registered medical practitioners in India. Zoyel Virtual Clinics is for non-serious conditions; emergencies go to in-person care or 108 / 112. Zoyel.Health is a Class B SaMD licensed under India's CDSCO framework. Every clinical decision is made by a registered medical practitioner.
Product 03 · Patient App
The patient layer of the clinical AI ecosystem · Zoyel.Health app
Zoyel Connect is the patient-facing application that connects directly to ZoyeMed terminal and Zoyel Virtual Clinics encounters. When a patient completes a consultation, their structured clinical findings, biomarker trajectory, and clinician notes are available in the app - giving them a longitudinal view of their own health, not just a snapshot from today.
The app is the patient's window into their own clinical AI record. It surfaces biomarker trajectories, appointment history, clinician notes, medication reminders, and - critically - alerts derived from the longitudinal AI layer when trajectory patterns warrant attention.
Product 04 · Diagnostic Chair
Passive Diagnostic Infrastructure · In Development
ZoyeRest is a diagnostic resting chair that acquires continuous ambient biosignal data without operator intervention. A patient sits. The chair senses. The data flows into the longitudinal AI layer. No formal encounter required - continuous background monitoring that fills the clinical record between active ZoyeMed terminal sessions.
Designed for waiting rooms, rehabilitation units, post-operative recovery areas, corporate wellness facilities, and any environment where patients spend extended time at rest. ZoyeRest turns passive time into clinical signal.
Product 05 · Clinical Wearable
Clinical-Grade Continuous Sensing · In Development
Zoyel Watch is a clinical-grade smartwatch that continuously feeds the longitudinal AI layer between formal ZoyeMed encounters. It produces clinical signals, not wellness signals - calibrated against ZoyeMed reference measurements and integrated into the same AI architecture that powers the terminal.
It is not a standalone product. It is the continuous sensing layer that fills the clinical record between episodes - so the next encounter starts with a 30-day trend, not a blank page.
Connected Ecosystem
The Zoya Technologies product suite is not a collection of independent devices. Every product feeds data into the same longitudinal AI architecture - building a richer, more temporally dense clinical record for every patient in the ecosystem.
Next Steps
For institutional procurement, government health programmes, technical white paper access, or investor discussions - our team responds within two business days.