The problem
Care needs human-machine interactions at every step. Each is a bottleneck, compounding with demand.
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Trusted at scale
SFDA
approved
ISO
13485
SOC2 II
HIPAA
compliant
5X+
ROI under
3 months
70%
Faster patient
assessment
50%
less staff time
for screening
LWBS
Reduced “left without
being seen” rate
Our Model
The problem
Care needs human-machine interactions at every step. Each is a bottleneck, compounding with demand.
The gap
The problem isn't volume. It's delivery: every fix works around the bottleneck.
The solution
Vision AI self-screening that removes hardware and staffing bottlenecks—scaling seamlessly across your enterprise and integrating directly into your existing systems.
iSelfie™ Biosignals: the first vision AI infrastructure layer for autonomous care delivery.
How it works
1.Scan
Patient takes a 30s scan
Patient sits in front of any camera. iSelfie locates the face, confirms lighting, begins capturing. No new hardware. No new screens. No new logins.
2.Extract
Camera extracts biosignals
Subtle blood-flow-driven shifts in skin tone are isolated from video frames, converted into clinical-grade biosignals.
3.Biomarkers
Signals appear in system
HR, SpO₂, RR, BP indication, HRV, stress markers, formatted to your reference standards.
4.FHIR • API • SDK • EHR
Fits into existing workflows
Built to deliver outcomes from the first scan, at any scale, on any device. FHIR-based. SDK-available.
Who we help
Use cases
Triage
Faster vitals capture during ED and urgent care intake
Outpatient intake
Vitals captured during clinic check-in
Screening
Vitals captured before procedures, scans, or appointments
Outcomes
Faster patient assessment time
Reduction in vitals workload, recaptured for clinical use
Break-even in under 3 months
Results & Case Studies
Medically trusted
Biomarkers validated against FDA-approved medical grade devices
Clinical studies
Countries
Participants
Eye images in
proprietary dataset
Patents
Trademarks

iSelfie™
CARDIO
Completed, published
Multi-center, prospective across multiple KSA clinical sites.

iSelfie™
ECG
Completed, in peer review
Single-center, prospective in hypertension clinic.

iSelfie™
COVID-19
Completed, in peer review
Multi-center, prospective in ED and home-testing settings.
How it deploys
iSelfie captures clinical biosignals.
Fits into your existing infrastructure.
Fits into your existing workflow.
Trust & Risk
Regulatory
Approved for clinical deployment.
Data & Privacy
Patient data stays protected.
Clinical Accuracy
Validated against medical-grade standards.
Continuity
Designed for dependable clinical workflows.
SFDA Approved
ISO 13485
SOC2 II
HIPAA
News & Stories
Awards & Industry Recognition

Best SME Company in Artificial Intelligence 2024


Ministry of Health KSA Sandbox 1st Cohort Graduation

Digital Health Innovation Showcase

Operational ROI from iSelfie's camera-based AI at Scale
Media Coverage

Makkah Health Cluster brings AI-powered healthcare platform 'iSelfie' to region

iSelfie: Innovative Technology Speeds Up Cardiac Diagnosis During Hajj Season

AiZtech Labs Launches iSelfie BioSignals to Help Providers Improve Triage, Reduce Intake Friction

AiZtech Labs Launches iSelfie BioSignals to Help Providers Improve Triage, Reduce Intake Friction, and Assess Patients Earlier
Clinical study in collaboration with Seha Virtual Hospital
Clinical study in collaboration with Seha Virtual Hospital
AiZtech Labs launches platform in U.S. to enable smartphone-based digital biomarker detection
AiZtech Labs' iSelfie BioSignals US launch brings vision AI to providers
Future of Healthcare
Makkah Cluster and Meena Health at the Global Health Exhibition
Recognized as a leading healthcare innovator on live TV

Corporate and sponsored content feature
iSelfie BioSignals coverage
iSelfie BioSignals coverage
Broadcast feature
Clinical-grade vitals through any camera. In 30 seconds. No new hardware.