FDA-aligned cardiac AI • 99.2% signal fidelity

AI-Powered Heart Intelligence

Upload an ECG image and Doctor Aramis reconstructs the underlying signal, detects arrhythmias and structural heart disease, and returns a clinician-ready risk assessment in seconds.

HIPAA compliant • SOC 2 Type II • End-to-end encrypted
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ECGs analyzed

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Signal reconstruction fidelity

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Cardiac conditions detected

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Average analysis time

From image to insight in three steps

No special hardware. No manual annotation. Just a clear, fast path from an ECG photo to an actionable cardiac assessment.

01

Upload your ECG

Drop a photo, scan, or PDF of any 12-lead or single-lead ECG. Our vision model auto-detects leads, grid scale, and calibration.

02

AI reconstructs & analyzes

We digitize the trace into a clean time-series signal, then a cardiology-trained model screens for arrhythmias and structural disease.

03

Get a clinical report

Receive diagnosis, confidence scores, heart rate, and a color-coded risk level — ready to share with your care team.

A complete cardiac AI platform

Everything you need to turn raw ECGs into trustworthy clinical decisions — engineered to medical-grade standards.

Deep cardiac models

Ensemble networks trained on millions of annotated ECGs detect AFib, STEMI, bundle branch blocks, and more.

Image-to-signal engine

Reconstruct a faithful digital waveform from any ECG photo, even with glare, skew, or paper grid noise.

Risk stratification

Every result includes a calibrated risk score so clinicians can triage and prioritize confidently.

Clinician copilot

An AI assistant that explains findings, suggests next steps, and answers cardiology questions in plain language.

Private by design

PHI is encrypted in transit and at rest. HIPAA compliant with full audit logging and access controls.

Built for speed

Results in seconds via a horizontally scaled inference pipeline — fast enough for the point of care.

Trusted by clinicians at the point of care

Cardiologists and emergency physicians rely on Doctor Aramis to read ECGs and stratify cardiac risk.

Doctor Aramis flagged a subtle anterior STEMI from a phone photo of an ECG faster than I could pull up the prior study. It has become part of our ED triage.
ER
Dr. Elena Rossi
Emergency Physician, Mercy General
The image-to-signal reconstruction is remarkable. We feed it scanned paper ECGs from rural clinics and get clean, analyzable waveforms every time.
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Dr. Marcus Bauer
Cardiologist, Heartland Cardiac Institute
Risk scores are well calibrated and the assistant explains its reasoning. It saves our fellows hours and improves how we prioritize patients.
PN
Dr. Priya Nair
Director of Cardiology, Coastal Medical

Bring cardiac AI to your practice today

Start analyzing ECGs in minutes. No installation, no special hardware — just upload and get clinical-grade insight.