AI-Powered Insight from the Signals That Matter

We turn raw PPG, ECG, and other physiological signals into real-world decisions. We’re ready to help you strategize, design, and develop next-generation solutions that push boundaries in healthcare and performance.

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We Are Experts In Physiological Interpretation

Our team is comprised of R&D experts distinguished by patents and papers focused on interpretation of physiological signals including ECG, PPG, ABP, and capnography. Our members have developed and successfully cleared FDA de novo and 510k medical devices.

>20

Medical Device Products

10+

Patents Filed

>30

Companies

Our Services

We support every stage of medical device innovation, from strategic product planning and AI/ML model development to rapid prototyping, data science, and regulatory compliance. We bring specialized expertise to help you interpret physiological signals, integrate EHR data, and navigate the path to FDA approval.

Medical Device Product Strategy

Market analysis, product positioning, and launch strategies for AI/ML-driven medical devices and expansion.

AI/ML R&D and Model Building

Specialized algorithm development for advanced medical device AI and machine learning capabilities.

Rapid Prototyping for Fitness and Medical Devices

Accelerate concept validation and refine functionality with real-time physiological data integration and fast iteration cycles.

EHR Signal Interpretation

Combine physiological signals, patient data, and AI/ML algorithms to analyze and interpret clinical states.

Physiological Signal Data Science

Analysis and interpretation of physiological signal and patient data for accurate, actionable health insights.

FDA Medical Device Support

DHF and QMS services for FDA regulated medical device development and compliance.

Our Technology

We utilize the latest in artificial intelligence and machine learning to deliver superior interpretability from single- or multi-modal physiological signals, including PPG, ECG, ABP, and CAP. We offer our technology to our customers for rapid development of explorative prototypes that can easily transform and combine your patient and user physiological signals with EHR or general health data to boost the performance of your business, patient monitoring, and fitness algorithms.

SensorFusion REST API

Translate your ECG, PPG, ABP, or CAP signals with one line of code! Our REST API provides a simple, fast, and accurate way to using your raw signal data with your own AI or ML models. Our libraries handle advanced filtering, feature processing, and multi-signal fusion for obtaining the best interpretations possible.

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PhysioStack SDK

The PhysioStack SDK accelerates development by offering a plug-and-play software stack for processing PPG, ECG, ABP, and CAP signals. Whether you’re prototyping or building a production system, it provides robust tools for signal conditioning, waveform filtering, and feature extraction—enabling seamless integration of vital physiological insights into your algorithms.

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Foundational AI Models

Our foundational AI models for ECG, PPG, ABP, and CAP signals are trained on billions of waveforms. These models enable robust signal interpretation with lower data requirements, enhanced interpretability, and the ability to detect subtle physiological patterns.

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About PhysioSense AI

PhysioSense AI is pioneering the future of health monitoring by transforming raw physiological signals into real-time insights using advanced AI and machine learning. Our mission is to make continuous, non-invasive health assessment accessible and actionable—empowering better decisions for clinicians, researchers, and individuals alike.

Leadership Team

John Jedziniak
CEO

John Jedziniak is the CEO of PhysioSense, bringing over two decades of leadership in AI-driven healthcare innovation. With deep expertise in physiological signal processing and machine learning, he has led the development of 30+ products and co-invented 10 patents (issued and pending) in areas including PPG, ECG, blood gas estimation, Alzheimer’s, and sepsis detection. As CTO of Impact Vitals, he led the invention of methods for assessing hydration and estimating absolute blood volume from PPG signals, oversaw FDA clearance of both software and hardware medical devices for the Compensatory Reserve Index (CRI), and served as Principal Investigator on a $2M U.S. Army grant. John was also SVP of Product Strategy and Development at Symphony, where he led numerous projects, including development of an ECG wearable solution for a Fortune 500 company. John also held a leadership position at Deloitte (Santa Ana, CA and Tokyo, Japan) where he consulted for major healthcare companies. He received his MBA from UCLA and holds Computer Science and Electrical Engineering degrees from UC Irvine. John has supported major clients including Amgen, Medtronic, and Kaiser Permanente, and consulted and worked with major universities including Johns Hopkins, University of Washington.

Abhishek Jaiantilal, PhD
Chief Science Officer

Abhi Jaiantilal, PhD is the Chief Science Officer of PhysioSense, with over a decade of experience in developing FDA-cleared medical devices and AI-powered physiological signal analysis. Holding a PhD in Computer Science from CU-Boulder and dual master’s degrees in computer science and engineering, Abhi has led R&D efforts for medical and fitness monitoring technologies. A co-inventor on 12 patents (issued and pending) and lead contributor to multiple peer-reviewed publications, Abhi has pioneered innovations in non-invasive monitoring of hydration and heat stress, Compensatory Reserve Index (CRI), and absolute blood volume. Abhi was formerly Principal Data Scientist at Impact Vitals (Flashback Technologies) where he helped develop and launch multiple FDA-regulated advanced physiological monitoring products.