CLINICAL ECG INTELLIGENCE · KINGDOM OF SAUDI ARABIA

ECG intelligence that thinks alongside cardiology.

Heartain digitizes paper and digital ECGs, surfaces clinically meaningful change over time, and supports cardiology teams with AI-assisted interpretation — deployed on Saudi-hosted infrastructure or inside your hospital.

SFDA Registration in Progress PDPL Aligned SCFHS Aware CBAHI + JCI Ready
SCROLL
LIVE DEMO · AUTO-PLAY

Watch Heartain read an ECG in real time.

From paper photograph to AI-flagged finding in under twelve seconds — the same workflow your clinicians use every day.

01
Paper ECG captured
Phone or tablet photograph of the printed 12-lead tracing.
02
Deskew & align
Automatic perspective correction and grid alignment, ±10°.
03
Waveform digitization
Lead-by-lead vectorization on Saudi-hosted GPU infrastructure.
04
AI pattern detection
ST-segment analysis, territory mapping, confidence scoring.
05
Clinical findings ready
Decision-support output, surfaced for cardiologist review and sign-off.
EXTRACTING WAVEFORM · LEAD V4
ST↑ V3
ST↑ V5
ST↑ V6
PATTERN DETECTED
Lateral STEMI features · LCx territory
AI-assisted screening only · Cardiologist review required
RHYTHM
Sinus · 89 bpm
ST CHANGES
Lateral elevation
TERRITORY
LCx (98% conf.)
AI CONFIDENCE
High
URGENCY
Critical · Review
PROCESSING ON SAUDI-HOSTED SERVERS END-TO-END · <12s
1 in 4
Acute coronary occlusions missed by standard ECG criteria
Nature Medicine · 2023
60min
Maximum physician over-read time in high-volume EDs
JACC · 2024
>40%
Inter-reader variability for NSTEMI ECG findings
ACC/AHA Guideline · 2022
~2cm²
Additional myocardial necrosis per minute of STEMI delay
4th UDMI · 2018
Capabilities

One platform. Six clinical capabilities.

Engineered together — so the audit log knows what the AI found, the digitizer feeds the comparator, and every finding traces to a SCFHS-licensed clinician.

Paper ECGs become structured data.

Photograph any printed 12-lead — straightened, deskewed, and reconstructed as a clean digital waveform with full lead-by-lead annotation.

12-Lead AI

Calibrated against the 4th Universal Definition of MI.

Progression Intelligence

Compare today's ECG to every previous tracing.

Decision Support

Confidence-scored findings. Clinician retains authority.

Audit-grade logs

Every action timestamped to a licensed user.

Bilingual & sovereign

EN/AR · Saudi-hosted. Data stays in-Kingdom.

Signature Capability

The ECG is rarely just one moment. PPI treats it as a timeline.

Most ECG software reads each tracing in isolation. Heartain reads them in sequence — quantifying lead-level change, surfacing emerging ST shifts, and flagging conduction evolution that single-tracing AI misses entirely.

PATIENT MRN-48291 · LEAD V4 · POST-MI FOLLOW-UP
Three tracings. Same patient. Six weeks.
AUTO-SCRUB
ECG 1 · BASELINE 14 MARCH 2026
ECG 2 · WEEK 2 28 MARCH 2026
ECG 3 · TODAY 26 APRIL 2026
Progressive ST elevation in V3–V5 detected across three tracings · 0.6 mm → 1.4 mm → 2.1 mm. The single-tracing AI missed this. PPI surfaced the deterioration on the second visit.
Evidence Base

Calibrated against the world's most-cited cardiology AI research.

0.97
Deep learning ECG vs. standard STEMI criteria
Nature Medicine · 2023
Identified occlusion MI missed by rule-based algorithms in 24% of cases.
0.88
30-day MACE prediction in ED chest pain cohort
Circulation · 2023
Outperformed the HEART score (0.76) when used in combination.
−18m
Door-to-balloon reduction across 12,000 ED ECGs
JACC · 2024
Flagged 91% of NSTEMIs requiring urgent catheterization.
86%
LV dysfunction detected from a visually normal ECG
Lancet · 2024
Specificity 80% — earlier intervention before clinical deterioration.

Heartain's internal pilot benchmarks (96% end-to-end correctness, 92.1% acute STEMI proxy classification, 98.5% strict specificity) are consistent with the published literature. Full validation data is shared with hospital partners during pilot scoping.

Deployment

Built for the Kingdom. Deployed on your terms.

Two deployment models. Both keep patient data inside Saudi Arabia. Both audited to CBAHI documentation standards.

Option A · Recommended

Saudi Sovereign Cloud

Fully managed deployment hosted in-Kingdom. Zero hospital IT burden, unified updates, enterprise SLA.

  • Region: GCP me-central2 (Dammam) — Saudi-sovereign infrastructure
  • PDPL-aligned data residency by default
  • Patient data never leaves Saudi Arabia
  • 99.95% GKE SLA · 99.99% Cloud SQL HA
  • Managed by Heartain — automated backups, point-in-time recovery
  • Unified model updates pushed across the deployment
Option B · For Cerner-integrated environments

On-Premise Deployment

Full installation inside hospital infrastructure. Hospital IT retains operational control end-to-end.

  • Air-gapped option for Cerner-integrated environments
  • AES-256 encryption at rest and in transit
  • RBAC integrated with hospital identity (SCFHS-aware)
  • Audit log retention configurable per institution
  • Local GPU sizing scoped during pilot phase
  • Hospital IT retains operational control
SFDA
Saudi Food &
Drug Authority
PDPL
Personal Data
Protection Law
SCFHS
Saudi Commission
Health Specialties
CBAHI
Healthcare
Institutions
JCI
Joint Commission
International
Get Started

Begin a pilot. Audit the outcomes.
Decide on the evidence.

Pilots are scoped in two weeks, deployed in shadow mode within four, and audited at three and six months. The institution retains all clinical data, all override authority, and all reporting rights.

DIRECT LINE · contact@heartain.sa