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
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.
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.
AI reconstructs & analyzes
We digitize the trace into a clean time-series signal, then a cardiology-trained model screens for arrhythmias and structural disease.
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.”
“The image-to-signal reconstruction is remarkable. We feed it scanned paper ECGs from rural clinics and get clean, analyzable waveforms every time.”
“Risk scores are well calibrated and the assistant explains its reasoning. It saves our fellows hours and improves how we prioritize patients.”
Analyze ECG
Upload an ECG image to get an AI-powered cardiac assessment
Drop your ECG image here
Supports JPEG, PNG, PDF — 12-lead or single-lead • Max 20 MB
Normal Sinus Rhythm
No significant abnormalities detected. Regular rhythm with normal intervals.
Try a demo analysis
AI Cardiac Assistant
Ask anything about ECG findings, cardiac conditions, or clinical guidance
Patient Dashboard
Your cardiac history and risk overview
