Cardiolyse is a device-agnostic AI ECG analysis platform that helps hospitals, cardiology clinics, GP networks and telemedicine services interpret 12-lead resting, Holter and wearable ECGs in seconds — in-hospital or remotely, through one API and one clinician-ready web dashboard.
Whether you run a tertiary cardiology unit, a regional hospital network, a telemedicine service or a screening programme, Cardiolyse plugs into your existing pipeline — no rip-and-replace, no proprietary hardware.
Adjustable result format, customizable clinical dashboard and visible audit trail — whether the recording is a 10-second resting trace or a multi-day ambulatory study.
Automated interpretation of standard 10-second, 12-lead recordings from ECG carts and patient monitors. Structured findings, rhythm and morphology parameters, and a ready-to-sign PDF land back at the workstation in seconds.
End-to-end analysis of 24-hour, 48-hour and multi-day recordings from any 1–3 lead Holter, patch or wearable. AI pre-screens the whole trace, isolates events, and gives your reader a prioritised worklist instead of raw hours of signal.
Most providers need both: fast reads inside the hospital and continuous cardiac visibility outside it. Cardiolyse serves both from the same certified engine — so your clinicians work with one interpretation, one report format and one audit trail.
Plug Cardiolyse into your ECG carts, patient monitors and Holter systems. Results flow into the EHR through direct integration, automatic report generation happens in seconds and abnormal findings are surfaced on the same workstation your cardiology team already uses.
Give your telemedicine, cardiac rehab and chronic care teams a continuous view of patients at home — from single- to three-lead patches, 6-lead consumer wearables and connected ECG devices (AliveCor, Apple and similar). Every recording is triaged by AI before it reaches your clinician's queue.
Send an ECG from any device — 1 to 12 leads, any duration, any common format — via API, dashboard upload or direct device integration.
Clinically proven AI algorithms extract up to 300 vital ECG parameters, HRV metrics and arrhythmia classifications.
ECG findings and Personal Baseline Scores rank patients by risk so your clinicians see the critical cases first.
A clinician signs off in the web dashboard; a structured result and a PDF land in your EHR.
The six questions we hear most from clinicians, device manufacturers and pharma teams evaluating Cardiolyse. For everything else, see the full FAQ.
Our AI is trained and validated against expert-annotated ECGs from clinical partners. The platform is CE-marked as a Class IIa medical device software and is designed to augment — not replace — clinician judgement. Cardiologist sign-off remains part of the workflow for regulated diagnostic use.
Any digital ECG from 1 to 12 leads. That includes standard 12-lead diagnostic ECG carts, ambulatory Holter monitors, single- and multi-lead patches, and 6-lead consumer wearables. We support common formats — EDF, XML, DICOM-ECG, PDF — plus proprietary vendor exports.
Yes. Our REST API returns structured results that map cleanly to PACS or a dedicated cardiac module. Our team can support your integration partner directly.
Yes. Cardiolyse is CE-marked as a Class IIa medical device software under EU Regulations and operates under an ISO 13485 quality management system. Data handling is GDPR-compliant with EU-hosted infrastructure and ISO 27001-aligned controls, and Cardiolyse is certified by NHS Digital for Data Security and Protection compliance.
Yes. The Cardiolyse web dashboard lets clinicians triage, annotate and sign off ECGs from any authenticated device — with role-based access, full audit trails and prioritised worklists for high-risk patients.
Most provider deployments go live on the web dashboard within two to four weeks. Deeper EHR integration and on-premises options are scoped case by case with your IT and compliance teams.
All data is transmitted over TLS, stored encrypted at rest, hosted in EU data centres and processed under a signed Data Processing Agreement. We are ISO 27001-aligned, GDPR-compliant and certified by NHS Digital for Data Security and Protection compliance.
Send us a small anonymised batch — our team will run it through the platform and walk you through the results on a 30-minute demo call.
