Company profile

PulseAI

Cardiology & Cardiovascular Health

Company profile

About PulseAI

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

Primary marketCardiology & Cardiovascular Health
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • 100+ cardiac abnormalities
  • Arrhythmias
  • Atrial Fibrillation
  • AV blocks
  • Brugada syndrome
  • Bundle branch blocks
  • Chamber hypertrophy
  • Ischaemic events
  • Myocardial Infarction
  • STEMI
  • Supraventricular Tachycardia
  • Ventricular Tachycardia
  • Wolff-Parkinson-White

Who it serves

  • Clinics
  • Device Manufacturers
  • Health Systems
  • Hospitals
  • Life Sciences Companies
  • Research Institutions

Deployment & integration

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.

Geographic context

MarketsGlobal · Low and middle income countries mentioned as target · NHS (UK)
Company sourceOfficial website

Company milestones

Platform expansion

Secured seed funding for AI-driven ECG diagnostics (news banner). Published 2025 studies on smartwatch AF detection and inconclusive reading reduction.

Partnerships

Recorded partners

  • Ashford & St Peter's Hospitals NHS Foundation Trust
  • Basel University Hospital

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

Pulse12L

AI-powered 12-lead ECG analysis for hospital and clinic diagnostic-grade machines

Software · HybridCompany source

PulseAI Defibrillator Analysis

Enhanced rhythm analysis for automated and manual defibrillators during critical care events

Software · EmbeddedCompany source

PulseAI ECG Analysis Platform

AI-powered ECG analysis delivering medical-grade cardiac diagnostics across any device form factor

Platform · HybridCompany source

PulseAI ECG Patch Analysis

Multi-lead ambulatory monitoring for extended wear ECG patches capturing days or weeks of cardiac data

Software · HybridCompany source

PulseAI Smartwatch ECG

Consumer wearable ECG analysis for Apple Watch and Samsung Galaxy Watch with 97% AF sensitivity

Software · Cloud SaaSCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

93.6% sensitivity vs 75.6% traditional software

12-lead ECG in NHS primary care (600 patients)

92.0% specificity vs 71.6% traditional software

12-lead ECG in NHS primary care

97.0% AF sensitivity vs 76.0% Apple Watch

Single-use AF detection on smartwatch

1.4% inconclusive rate vs 17.6% without AI

Wearable ECG readings across multiple devices

0.96 Cohen's kappa repeatability vs 0.77 device native

Basel University Hospital study

Ashford & St Peter's Hospitals NHS Foundation Trust

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

Basel University Hospital

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 team

Leadership profiles and professional links from the current Company record.

Dr Alan Kennedy

Dr Alan Kennedy

Chief Executive Officer

LinkedIn

Peter Doggart

Chief Technology Officer

Professor Dewar Finlay

Chief Scientist

Dr Caitlin Fisher

AI Research Scientist

Dr Pardis Biglarbeigi

Data Scientist

06 · Company updates

Updates from PulseAI

Recent articles published on PulseAI's official website.

No Company updates are currently listed.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Cardiology & Cardiovascular Health

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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View all Companies in this market

10 · Pro research

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Expanded Company research is in development.

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Deeper Company research is coming soon.

Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.

ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

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