Pulse12L
AI-powered 12-lead ECG analysis for hospital and clinic diagnostic-grade machines
Company profile
Company profile
PulseAI is a health AI company advancing cardiac diagnostics through AI-powered ECG analysis. The company's proprietary deep learning models, trained on over 15 million ECGs, deliver clinically validated performance across every ECG device form factor—from consumer smartwatches and wearable patches to clinical-grade 12-lead monitors and defibrillators. PulseAI's technology detects over 100 cardiac abnormalities including arrhythmias, myocardial infarction, and ischaemic events, providing structured diagnostic results with per-condition confidence scores. The platform integrates seamlessly with existing clinical workflows and electronic medical record systems, offering flexible deployment either on-device or in the cloud. With 28 peer-reviewed publications validating its clinical accuracy, PulseAI has demonstrated superior performance compared to traditional ECG software and native device algorithms. The company's mission addresses a critical global health challenge: cardiovascular disease claims 17.9 million lives annually, with 80% of deaths occurring in low and middle-income countries where 3.6 billion people lack access to cardiac specialists. PulseAI is closing this diagnostic gap by delivering specialist-level cardiac screening in seconds, from major hospitals to rural clinics in underserved regions. The company serves health systems, device manufacturers, life sciences companies, and research institutions worldwide.
Company description PulseAI official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Embedded · Hybrid deployment with recorded integration context.
Recorded integration context: 12-lead ECG machines, AliveCor, Apple Watch, Defibrillators, ECG patches, EMR/EHR systems, Fitbit, Samsung Galaxy Watch.
Company milestones
Secured seed funding for AI-driven ECG diagnostics (news banner). Published 2025 studies on smartwatch AF detection and inconclusive reading reduction.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI-powered 12-lead ECG analysis for hospital and clinic diagnostic-grade machines
Enhanced rhythm analysis for automated and manual defibrillators during critical care events
AI-powered ECG analysis delivering medical-grade cardiac diagnostics across any device form factor
Multi-lead ambulatory monitoring for extended wear ECG patches capturing days or weeks of cardiac data
Consumer wearable ECG analysis for Apple Watch and Samsung Galaxy Watch with 97% AF sensitivity
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Small science · Aug 1, 2026
Methodological Inconsistency in Comparing Wearable Device Accuracy for Atrial Fibrillation Detection.JACC. Advances · May 1, 2026
Accounting for inconclusive results and repeated testing: A framework for evaluating wearable electrocardiogram diagnostic performance with application to Apple Watch and artificial intelligence-enhanced interpretation.Heart rhythm · Nov 7, 2025
Precordial electrocardiographic recording and QT measurement from a novel wearable ring device.Cardiovascular digital health journal · Feb 1, 2024
Reducing the burden of inconclusive smart device single-lead ECG tracings via a novel artificial intelligence algorithm.Cardiovascular digital health journal · Feb 1, 2024
Overview of featurization techniques used in traditional versus emerging deep learning-based algorithms for automated interpretation of the 12-lead ECG.Journal of electrocardiology · Jan 1, 2021
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
12-lead ECG in NHS primary care (600 patients)
12-lead ECG in NHS primary care
Single-use AF detection on smartwatch
Wearable ECG readings across multiple devices
Basel University Hospital study
AI vs Traditional ECG Software in NHS Primary Care for cardiac abnormality detection
93.6% sensitivity and 92.0% specificity with Pulse12L versus 75.6% sensitivity and 71.6% specificity with traditional software in prospective study of 600 patients
Reducing inconclusive wearable ECG readings across Apple Watch, Samsung, Fitbit, and AliveCor devices
Reduced inconclusive rate from 17.6% to 1.4% and improved repeatability (Cohen's κ) from 0.77 to 0.96
05 · Leadership
Leadership profiles and professional links from the current Company record.
06 · Company updates
Recent articles published on PulseAI's official website.
No Company updates are currently listed.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
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Market context
Companies applying AI to cardiovascular disease detection, ECG/EKG analysis, heart failure management, cardiac imaging, arrhythmia detection, or cardiovascular risk assessment. Includes AI-powered cardiac diagnostics, non-invasive hemodynamic monitoring, and tools for early detection and personalized management of heart conditions.
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