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§ Private Profile · Chicago, IL, USA
Digital health platform for healthcare providers, offering wearable AI for cardiac disease detection and monitoring.
Based in Chicago, Illinois, Cardiosense develops a digital health platform that utilizes artificial intelligence and wearable devices to noninvasively monitor heart function and detect early signs of cardiovascular disease. The company's primary medical-grade wearable monitor, CardioTag, interprets physiological data to identify at-risk patients and received clearance from the FDA in July 2025 to enable commercial deployment. Operating with fewer than 25 employees and generating under $5 million in annual revenue, the enterprise focuses on clinical trials and commercialization within the healthcare technology sector. The firm secured $15.1 million in Series A funding in December 2022 through a financing round co-led by institutional investors Broadview Ventures and Hatteras Venture Partners. Cardiosense was founded in 2020 by Amit Gupta and Arash Kheradvar following joint research efforts between Northwestern University and the Georgia Institute of Technology.
Cardiosense has raised $18.0M across 2 funding rounds.
Cardiosense has raised $18.0M in total across 2 funding rounds.
Cardiosense has raised $18.0M in total across 2 funding rounds.
Cardiosense's investors include Hatteras Venture Partners, Daniel Gottlieb, Broadview Ventures, Endeavor Venture Funds, Laerdal, OSF Ventures, Portal Innovations, UnityPoint Health Ventures, Alkeon Capital, BoxOne Ventures, Buckley Ventures, Matt Ocko.
Cardiosense has raised $18.0M across 2 funding rounds. Most recently, it raised $15.0M Series A in December 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2022 | $15M Series A | Hatteras Venture Partners, Daniel Gottlieb | Broadview Ventures, Endeavor Venture Funds, Laerdal, OSF Ventures, Portal Innovations, Unitypoint Health Ventures | Announced |
| Nov 1, 2022 | $3M Series A | — | Alkeon Capital, BoxOne Ventures, Buckley Ventures, Matt Ocko, Earl Grey Capital, Endeavor Venture Funds, FirstHand Alliance, Goat Capital, GSV Ventures, LAUNCH, Lightspeed Venture Partners, Maven Ventures, Pario Ventures, Runa Capital, Shaan's ALL Access Fund, Aaron King, Aaron Rankin (Sprout Social), Adam Michalski, Bill TAI, Chris Fanini, Daniel KAN, Emmett Shear, Immad Akhund, Jason Hunt, JAY Jamison, Kyle Vogt, Mikhail Seregine, Oleg Rogynskyy, TED Serbinski, Vikas Gupta, Viral Bajaria, Vishal RAO | Announced |
# High-Level Overview
Cardiosense is a digital health company developing AI-powered cardiac monitoring technology to detect early signs of heart disease and guide personalized treatment.[1] The company combines multimodal wearable sensors with deep learning algorithms to analyze physiological signals and identify patients at risk of acute heart failure before symptoms appear.[1][2] Cardiosense serves healthcare providers and patients managing congestive heart failure (CHF), a condition affecting more than 6 million people in the US and projected to cost the healthcare system over $70 billion annually by 2030.[4]
The company's core offering addresses a critical clinical gap: changes in cardiac filling pressures often precede heart failure symptoms by weeks, but currently require invasive catheterization procedures to measure.[2] Cardiosense's noninvasive approach enables early detection across diverse care settings—from hospitals to home monitoring—allowing providers to implement therapeutic interventions and avoid hospitalizations.[2]
# Origin Story
Cardiosense was founded by researchers with nearly two decades of clinical and engineering expertise.[1] Omer Inan, a Georgia Tech researcher and faculty member, launched the company with support from the Institute's commercialization resources.[7] The founding team developed the underlying technologies over more than a decade before formally establishing the company.[4]
The company achieved a pivotal milestone in 2022 when it received FDA Breakthrough Device Designation for its early heart failure detection algorithm, recognizing the technology's potential to address a major unmet clinical need in cardiac care.[2][4] This designation enabled expedited regulatory review. The company completed a $15.1 million Series A financing round to advance its AI platform and pursue regulatory clearance for its CardioTag device.[4] By late 2024, Cardiosense achieved FDA 510(k) clearance for CardioTag, marking the device's market entry as a Class II medical device.[1][7]
# Core Differentiators
CardioTag simultaneously captures three distinct physiological signals—electrocardiogram (ECG), photoplethysmogram (PPG), and seismocardiogram (SCG)—in a single wearable device.[3][7] This is the first wearable to combine all three signals, with SCG measuring cardiogenic vibrations from the heart's contraction and blood movement.[3] The integration of these signals provides comprehensive cardiac assessment capabilities previously unavailable in portable form.
Deep learning algorithms translate raw physiological signals into predictive biomarkers for heart failure, hemodynamic instability, and other cardiac dysfunction.[1] The platform's novel algorithm can noninvasively assess pulmonary capillary wedge pressure (PCWP)—a critical measure currently requiring invasive catheterization—enabling detection of early warning signs in any care setting.[2]
The technology is built on peer-reviewed published research and validated across diverse patient populations.[1] The FDA Breakthrough Device Designation and subsequent 510(k) clearance demonstrate regulatory confidence in the platform's safety and efficacy.[2][7]
Beyond the device and algorithms, Cardiosense provides software solutions that aggregate CardioTag and third-party device data into actionable clinical insights, designed to integrate seamlessly into existing care environments.[1]
# Role in the Broader Tech Landscape
Cardiosense operates at the intersection of three powerful trends: remote patient monitoring, AI-driven diagnostics, and preventive healthcare. As healthcare systems shift from reactive to proactive care models, noninvasive wearable technologies that enable early disease detection are becoming increasingly valuable.
The company addresses a specific but massive market opportunity: heart failure management represents one of the highest-cost conditions in healthcare, with significant potential for cost reduction through early intervention. The FDA's Breakthrough Device Designation reflects broader regulatory momentum toward accelerating approval for technologies that can reduce invasive procedures and improve patient outcomes.
Cardiosense's work also contributes to the growing ecosystem of physiological waveform AI platforms—a category that leverages advances in sensor miniaturization, edge computing, and machine learning to extract clinical insights from continuous biometric data. This approach is reshaping how chronic disease management occurs outside traditional clinical settings.
# Quick Take & Future Outlook
Cardiosense is positioned to capture significant market share in remote cardiac monitoring as healthcare systems prioritize heart failure prevention and early detection. The company's regulatory clearance removes a major commercialization barrier, and its clinical validation through peer-reviewed research provides credibility with payers and providers.
Key growth drivers include expanding clinical evidence through nationwide studies, building relationships with health systems and payers, and potentially extending the platform beyond heart failure to other cardiac conditions. The integration of multimodal sensing with AI creates a defensible technology moat—competitors would need to replicate both hardware innovation and algorithmic sophistication.
The broader trend favoring noninvasive, continuous monitoring over episodic clinical encounters works in Cardiosense's favor. As wearable technology becomes standard in chronic disease management, companies that can translate raw sensor data into clinically actionable insights will define the next generation of digital health infrastructure.