Streamline all signal processing and analysis in one space

Our platform consists of two operational modules, which enable the simultaneous collection and intelligent analysis of electrocardiogram (ECG) and photoplethysmography (PPG) signals.

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Meet our talented team

Saman Salari

Product Designer & Web Developer

Saman earned his Master’s degree in Computer Science from the University of Hull in 2022 and is with us as a designer, developer, and technical member of the project.

Dr. Yashar Baradaranshokouhi

Academic R&D

Yashar’s research explores AI, data science, advanced signal processing, and complex system modeling in neuroscience, biomedical applications, and healthcare, covering the academic R&D of the project.

Dr. Mahdi Torabi

Team Lead and Signal Processing

Mahdi, as a Team leader and Project manager, covers the development of Signal & Image processing, Computer Vision, plus AI (Machine learning & Deep learning) for the project.

What you get early access to

CardioCare helps forward-thinking teams integrate cutting-edge AI into their workflows—from research to real-time operations.

Access a platform that innovatively merges ECG and PPG signal processing for enhanced diagnostic accuracy.

Get a system that detects a wide range of arrhythmias with over 90% accuracy, including AFib and PVCs.

Utilize a cloud-native, HIPAA-compliant platform designed for exponential user growth and secure patient data management.

Get a system that detects a wide range of arrhythmias with over 90% accuracy, including AFib and PVCs.

What is CardioCare AI?

CardioCare Advanced Analyser is an AI-powered platform that simultaneously analyzes ECG and PPG signals to detect cardiac arrhythmias with >90% accuracy. Our system processes data from Holter monitors, hospital equipment, and smartwatches to provide comprehensive cardiac diagnostics and automated reporting.

How accurate is the AI arrhythmia detection?

Our AI engine achieves >90% accuracy in detecting various arrhythmias including atrial fibrillation, PVCs, bigeminy, trigeminy, tachycardia, and bradycardia. The system is trained on validated datasets including MIT-BIH and PTB-XL databases, with continuous clinical validation from our expert advisory board.

What devices and data formats are supported?

CardioCare supports both single-lead and multi-lead ECGs from various sources: hospital Holter monitors, 12-lead ECG machines, smartwatches (Apple Watch, etc.), fitness trackers, and chest strap monitors. We accept recordings of any duration and process data in real-time or batch mode.

What makes CardioCare different from existing solutions?

CardioCare is the first platform to simultaneously analyze ECG and PPG signals using AI, providing superior diagnostic accuracy. Our unique dual-signal approach, combined with LLM-powered report generation and wellness content creation, offers comprehensive cardiac analysis that no other UK or global solution currently provides.

Who can use CardioCareAI ?

CardioCare serves multiple markets: NHS trusts and private hospitals for clinical diagnostics, cardiologists and electrophysiologists for specialist analysis, fitness professionals for athlete monitoring, and consumers through wellness applications. Our dual-market SaaS model supports both medical and wellness use cases.

When it will be available for us?

Our MVP development phase runs from October 2025 to March 2026, with commercial launch planned for Q2 2026. Early access participants will get priority access to pilot programs and can influence product development through our exclusive feedback loop.

Frequently Asked Questions…

Our unique platform addresses a critical market gap by combining ECG and PPG analysis—a capability no other UK competitor offers. Get early access to the innovation that bridges the gap between consumer wearables and professional cardiology, positioning you at the forefront of the MedTech revolution.

Join our waiting list

Be the first to receive updates on our platform’s development, exclusive content from our team of AI and cardiology experts, and a first-hand look at how CardioCare AI is transforming digital health. By joining our list, you’re not just signing up for a product—you’re becoming part of a community dedicated to a healthier future.

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