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Idoven

Idoven

Cardiology & Cardiovascular Health

Idoven is a cardiac AI company that uses machine learning to detect and predict heart arrhythmias from ECG data.

About Idoven

Idoven has developed the world's first cardiology-as-a-service platform powered by AI that augments a clinician's ability to identify, triage and diagnose patients at scale.

Leadership Team

Key executives and founders sourced from public LinkedIn profiles.

iñigo juantegui

iñigo juantegui

Co-Founder

José María Lillo Castellano

José María Lillo Castellano

Co-Founder & CSO

I obtained my PhD in Digital Communication and Multimedia in 2017. To date, my job background has been focused on the Multivariate Data Analysis, Machine Learning and Digital Signal/Image Processing applied to bioengineering problems. Currently, I am Co-Founder & CSO at IDOVEN and collaborate in cutting-edge research projects at CNIC, offering top-quality cardiology solutions supported by cloud-based artificial intelligence tools. My goal is to help society by applying all my experience and knowledge to the development of new tools for the prevention of serious cardiovascular diseases such as myocardial infarction and sudden cardiac death.

Francisco Rodríguez Hernández

Francisco Rodríguez Hernández

Partner

Mission & Approach

AI Approach

Deep neural networks for ECG pattern recognition, predictive analytics for cardiovascular disease risk stratification, digital biomarkers for disease prediction

Founding Story

Founded following Iker Casillas' heart attack on May 1, 2019 during training at age 38. The World Cup-winning goalkeeper now relies on Idoven to care for his heart and collaborates through the Iker Casillas Foundation to impact vulnerable groups at high risk of cardiovascular diseases.

Products & Solutions

Preventative Screening Programs

service

Comprehensive remote ECG monitoring for employee health and wellbeing

Provides comprehensive preventative screening programs to help organizations better manage their employees' health and wellbeing. Offers continuous remote ECG monitoring from non-invasive devices to anyone worldwide. Proprietary algorithms and cardiologists analyze the data and deliver medical-grade reports. Features remote patient monitoring, digital screening, and point-of-care devices.

Deploy: cloud saasPricing: enterprise

Life Sciences Digital Biomarkers Solution

software

ECG-based disease risk scores and cardiotoxicity monitoring for pharma

Develops disease risk scores using ECG-based biomarkers to identify high-risk, undiagnosed, and/or undertreated patients. Helps clinicians predict potential cardiovascular diseases to improve patient management and enhance treatment outcomes while monitoring cardiac drug safety. Features prediction capabilities, cardiotoxicity monitoring, and risk stratification.

Deploy: cloud saasPricing: enterprise

Donate Your Heartbeats App

software

Apple Watch app for anonymous ECG donation to advance cardiology research

Mobile application that allows users to sync their Apple Watch and share ECGs anonymously to contribute to groundbreaking cardiology research. Part of the #donateyourheartbeats movement led by Iker Casillas and professional athletes to advance research in the prevention of heart attacks, strokes, and other cardiovascular diseases.

Deploy: cloud saasPricing: free tier

MedTech Digital Diagnostics Solution

software

Rapid arrhythmia identification and cardiac pattern detection for MedTech companies

AI-powered solution for MedTech companies that enables rapid and accurate identification of arrhythmias and cardiac patterns to significantly reduce time and expense associated with ECG interpretation. Features cloud technology, deep neural networks, and vendor-neutral architecture. Seamlessly integrates with Home Monitoring and Electronic Health Record (EHR) systems for efficient triage and diagnosis of patients at scale.

Deploy: cloud saasPricing: enterpriseEHR: Electronic Health Record (EHR) systems, Home Monitoring systems

Willem

Flagshipplatform

AI-powered ECG analysis platform for cardiology-as-a-service

Willem is Idoven's flagship AI-powered ECG analysis platform that provides cardiologist-level accuracy in detecting 22 cardiac patterns automatically. The platform is device-neutral, analyzing ECG data from any-lead wearable, mobile, and implantable devices including 12-lead resting ECGs, holter monitors, patches, and insertable cardiac monitors. It delivers analysis results in minutes and integrates seamlessly with EMR systems via API and non-API tools.

Deploy: cloud saasPricing: enterpriseEHR: EMR systems via API and non-API tools, HL7, DICOM

Customer Success Stories

FAITHFUL Consortium

health system

Redefining heart failure detection in Primary Care with AI ECG platform involving 14 leading international institutions

Anticipated 40% reduction in hospitalizations and significant healthcare cost savings
Read case study →

AstraZeneca

pharma

CONCERTO project to improve early diagnosis of patients with amyloidosis using AI-powered ECG analysis

Development of AI model to detect subtle patterns signaling early signs of amyloidosis, reducing diagnosis delays of several years
Read case study →

Iker Casillas

other

Personal cardiac monitoring following heart attack during training at age 38

Ongoing cardiac care and monitoring through Idoven platform
Read case study →

Hiring Activity

View Open Roles →
growing

Notable roles:

Engineering (Development, DevOps, QA, Product, Solutions)R&D and DataClinical, Regulatory, QualitySales, Marketing & Business DevelopmentOperations, Legal & People

Product & Market

Product Stage

enterprise

Primary Market

health_systems

Company Details

Founded
2018
Headquarters
Madrid, Spain
Employees
80
Stage
series b
Profile last updated
June 22, 2026

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Data Accuracy Notice: Company information on HealthAI Central is compiled from public sources and updated regularly. While we strive for accuracy, details such as employee counts and product offerings may change. We recommend verifying critical information directly with the company before making business decisions.