iCardio.ai
iCardio.ai develops FDA-cleared deep-learning software that automates echocardiogram interpretation, including cardiac measurements (EchoMeasure™) and aortic stenosis detection (CardioVision™), sold via API to ultrasound OEMs, PACS providers, and healthcare systems.
- Company typePrivate
- Founded2019
- HeadquartersLos Angeles, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What iCardio.ai does
iCardio.ai is a Los Angeles-based, privately held AI company founded in 2019 that develops deep-learning software for the interpretation of echocardiograms. Its core platform, the "iCardio.ai Brain," is built on a proprietary dataset of more than 200 million ultrasound images and comprises 60+ concurrent machine-learning models that perform view classification, chamber and aortic measurements, image-quality scoring, and disease detection. The commercial portfolio centers on two FDA 510(k)-cleared products: EchoMeasure™, which automates more than a dozen cardiac measurements and preliminary reporting, and CardioVision™, which detects aortic stenosis from parasternal long-axis clips and was the first AI to receive FDA Breakthrough Device Designation for handheld ultrasound. Additional modules include EchoCheck™ for quality assurance, EchoGPT for image-to-text interpretation, AutoGeo LV for left-ventricular geometry, and AutoLabel ICE for real-time intracardiac labeling.
The company sells exclusively through B2B enterprise channels, integrating its API into PACS platforms (UltraLinQ, deepc, SARC MedIQ, HeartLab), care-coordination systems (Viz.ai), and ultrasound hardware from manufacturers such as GE Healthcare, Butterfly Network, Clarius, and Abbott. Revenue is generated through API and per-study licensing, integration and subscription fees, and custom model-development and data-annotation services. Strategic customers include Cedars-Sinai, Tufts Medical Center, and the University of Lyon for clinical research, while primary buyers are cardiology departments, hospital systems, and OEMs seeking to reduce intra-reader variability, address sonographer workload and work-related musculoskeletal disorders, and expand access to cardiac diagnostics in primary and point-of-care settings.
iCardio.ai has secured funding from BSD Enterprises, the Jerusalem Venture Partners PlayBeyondBio accelerator, the Cedars-Sinai Accelerator ($100,000), and the $1 million Roddenberry Foundation Grand Prize, and in February 2026 closed a $4.5 million financing round. The company is led by co-founder/CEO Joseph Sokol, co-founder/Chief Medical Advisor Dr. Aakriti Gupta, and co-founder/CTO Dr. Roman Sandler, with advisory support from Dr. Raj Makkar (Cedars-Sinai) and Dr. Harlan Krumholz (Yale).
iCardio.ai firmographics
Firmographics- Name
- iCardio.ai
- Legal name
- iCardio.ai
- Website
- https://icardio.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- iCardio.ai develops FDA-cleared deep-learning software that automates echocardiogram interpretation, including cardiac measurements (EchoMeasure™) and aortic stenosis detection (CardioVision™), sold via API to ultrasound OEMs, PACS providers, and healthcare systems.
- Ownership category
- akta.pro rank
iCardio.ai industry classification
Industry- Product category
- Medical Imaging AI Software
- NAICS
- Electromedical and Electrotherapeutic Apparatus Manufacturing (334510), Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451)
- SIC
- Surgical & Medical Instruments & Apparatus (3841)
- akta.pro primary industry
- SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG)
- akta.pro secondary industries
- AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG), Imaging Informatics & Workflow (PACS/RIS/VNA) (HLAHABAI), Medical Imaging AI (HDAAAEAH), Non-Invasive Cardiac Imaging (Echo/CT/MRI/Nuclear) (HLAKABAE)
Keywords
Where iCardio.ai is headquartered
LocationHeadquarters
- HQ city
- Los Angeles
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
iCardio.ai business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- AI Software Licensing: iCardio.ai licenses its FDA-cleared AI software products (EchoMeasure™ and CardioVision™) to healthcare systems, PACS vendors, and ultrasound hardware manufacturers. Revenue is generated through integration fees, API usage fees, and per-study or subscription-based licensing arrangements with enterprise customers.
- Enterprise API Services: The company provides API access for automated echocardiographic interpretation, with EchoMeasure serving as the foundational platform for automated echo interpretation. Revenue is generated through API service fees integrated into partner platforms.
- Data and Custom Model Development Services: iCardio.ai offers custom-tailored automated solutions, specialized datasets for clinical validation, and deployment of existing algorithms for partners. This includes anonymization services, data annotation and curation, and bespoke echocardiography model development.
Go-to-market motion3 records
Distribution channels5 records
Marketing channels5 records
iCardio.ai product offering
Product offeringCore offering
iCardio.ai develops FDA 510(k)-cleared artificial intelligence software for automated interpretation of echocardiography, including EchoMeasure™ for automated cardiac measurements and CardioVision™ for AI-driven detection of aortic stenosis from PLAX clips. The company licenses these AI tools and exposes them via REST API for integration into PACS platforms, ultrasound hardware, and care coordination systems used by hospitals, cardiology practices, and ultrasound OEMs globally.
Product overview
iCardio.ai is a platform company offering FDA-cleared AI products for echocardiography automation, centered around two core cleared products: EchoMeasure™ for automated cardiac measurements and CardioVision™ for aortic stenosis detection. These integrate with a suite of add-on modules including EchoCheck™ (image quality assessment), EchoGPT (image-to-text AI), AutoGeo LV (automated LV measurements), and AutoLabel ICE (real-time anatomical labeling). The platform is built on a proprietary database of 200M+ ultrasound images and supports enterprise data services including custom model development and clinical data annotation. Integration occurs through PACS platforms (UltraLinQ, deepc, SARC MedIQ), care coordination systems (Viz.ai), and ultrasound hardware vendors (Butterfly Network, Abbott, GE Healthcare).
Differentiator
Problem solved
Functional benefit
Brands
- EchoMeasure™: FDA 510(k) cleared AI solution for automated echocardiographic measurements, supporting a robust imaging workflow including image perspective classification, image quality assessment, and over a dozen linear and volumetric measurement estimations.
- CardioVision™
- EchoCheck™
Products and services
- EchoMeasure™ FDA 510(k)-cleared AI software that automates over a dozen cardiac linear and volumetric measurements from echocardiography, including automated ejection fraction, chamber diameters, wall thicknesses, and aortic measurements. Identifies diastolic/systolic phases and produces a fully automated echo report. Integrates into standard reporting workflows via simple REST API for PACS and hardware partners.
- CardioVision™ FDA 510(k)-cleared AI diagnostic aid for automated detection of aortic stenosis from PLAX ultrasound clips using deep learning without explicit variable measurement. Holds FDA Breakthrough Device Designation, the first granted for handheld ultrasound AI. Enables NTAP reimbursement pathway and Medicare coverage.
- Interpretations Professional echo interpretation service where echocardiograms are read by top cardiologists assisted by iCardio.ai's AI, providing comprehensive analysis that combines automated AI measurements with expert clinical review.
- Data Services Enterprise services including access to proprietary dataset of 200M+ echocardiographic images, custom model development tailored to specific clinical and research objectives, data anonymization for regulatory compliance, and data annotation/curation by clinical experts.
Quantifiable outcome
- Echocardiogram interpretation time reduced by up to 3x
- +4 more outcomes
Companies that use iCardio.ai
Customer profileNamed customers9 records
Segments4 records
Ideal customer profiles3 records
iCardio.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability7 records
Feature9 records
iCardio.ai partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered core and minor.
- AbbottcoreCollaboration to develop AI applications for Abbott's electrophysiology imaging product line. iCardio.ai will support Abbott's goals of automating model creation on the EnSite X cardiac mapping system using 2D intracardiac echo (ICE) images captured by Abbott's ICE catheters.
- Cedars-Sinai AcceleratorminoriCardio.ai joined the 10th cohort of the Cedars-Sinai Accelerator, a three-month program with mentorship from 300+ clinicians and executives. Companies receive $100,000 investment and present at HLTH Event 2024 Demo Day.
- SARC MedIQcoreStrategic partnership to revolutionize distribution of AI tools by integrating iCardio.ai's technology with SARC MedIQ's state-of-the-art PACS platform. Accelerating availability of AI in cloud PACS and the broader cardiology healthcare industry.
- Viz.aicorePartnership to advance rapid detection of aortic stenosis through integration of iCardio.ai's breakthrough ultrasound interpretation technology into Viz.ai's comprehensive Cardio Suite. Viz.ai's solutions are used by clinicians in over 1,500 healthcare institutions.
- deepccorePartnership to integrate iCardio.ai's Ultrasound OS into deepcOS Radiology AI platform, providing European healthcare systems access to automated echocardiogram interpretation, perspective classification, image quality assessment, and measurement of crucial heart parameters.
- UltraLinQ Healthcare SolutionscoreStrategic partnership to integrate iCardio.ai's AI tools into UltraLinQ's cloud PACS platform. Combining automated AI tools with UltraLinQ's robust image viewer and advanced reporting platform for substantial improvements in quality, efficiency, accuracy, and speed in ultrasound image interpretation.
- Butterfly NetworkcoreiCardio.ai joined Butterfly Garden, Butterfly's AI marketplace, to deploy its cardiac AI suite on Butterfly's single-probe, whole-body handheld ultrasound system. Enables providers to take simplified echo examinations with a Butterfly probe and instantly produce fully automated echo reports.
- HeartX by HealthTech Arkansas and MedAxiomminorAccepted to HeartX 2022 accelerator cohort, receiving $150,000 investment and guaranteed pilot projects with seven Arkansas healthcare providers including Arkansas Children's Hospital, Arkansas Heart Hospital, Baptist Health, and others.
- GE HealthcarecoreMulti-year collaboration with GE Healthcare to provide AI model development services, propelled by the division for digital innovation in ultrasound. Fast-tracking bringing artificial intelligence to ultrasound applications through deep learning. This represents a vote of confidence from the world's largest ultrasound hardware vendor.
- NVIDIAcoreNVIDIA Inception member leveraging NVIDIA Clara Holoscan platform for real-time multi-AI processing. iCardio.ai's models featured in NVIDIA Holoscan SDK as reference application for multi-AI inference, achieving approximately 30% performance improvement.
- Tufts UniversityminorCollaboration with Tufts University led by Dr. Benjamin Wessler on prediction of aortic stenosis with machine learning. Published peer-reviewed research in Journal of the American Society of Echocardiography.
- University of LyonminorAcademic partnership for research and development in cardiac AI and echocardiography.
- Clarius Mobile HealthminorPartnership to integrate iCardio.ai's AI tools with Clarius handheld ultrasound devices (Coming soon).
- Diagnostic PartnersminorPartner listed in company partners section for distribution of iCardio.ai solutions.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
iCardio.ai competitors and assessment
Company assessmentDirect peers
- Ultromics: UK-based AI company focused on echocardiography, with FDA-cleared products such as EchoGo for automated cardiac function analysis. Direct competitor to iCardio.ai's EchoMeasure™ with the same target customers (cardiology departments, hospitals, ultrasound OEMs) and similar AI-for-echo value proposition.
- Caption Health (now part of GE HealthCare): AI-guided ultrasound acquisition platform acquired by GE HealthCare. Direct competitor in AI-for-echocardiography guidance and measurement, with the same OEM-led distribution model; now internalized by iCardio.ai's largest partner, intensifying the partner-vs-competitor dynamic.
- EchoNous: Developer of handheld ultrasound devices (Kosmos) with embedded AI for cardiac assessment. Comparable to iCardio.ai in pursuing AI-assisted point-of-care echocardiography, though EchoNous is vertically integrated into hardware while iCardio.ai is software/AI-only.
Emerging players
- Arterys (Tempus): Cloud-native medical imaging AI platform (acquired by Tempus) that includes cardiac MRI and CT AI. Comparable in offering imaging-AI-as-a-service via cloud/API to hospitals, with overlapping enterprise PACS integration model — broader than echo but intersecting on cardiac use cases.
- Anumana: Cardiac AI company developing ECG-based and multi-modal algorithms (acquired by Tempus/nference). Comparable in targeting earlier-stage detection of structural heart disease, though via ECG rather than echocardiography — adjacent competitive pressure for the same cardiology decision-maker.
- HeartFlow: AI-driven cardiac imaging analysis focused on CT-derived FFR for coronary disease. Comparable as a SaMD cardiac imaging AI company selling to the same cardiology and hospital enterprise buyers, though HeartFlow addresses coronary rather than structural heart disease.
- Cleerly: AI platform for cardiac CT angiography analysis to quantify plaque and stenosis. Comparable as a venture-backed cardiac imaging AI company pursuing enterprise hospital sales and reimbursement pathways (including CPT codes), though addressing coronary rather than valvular disease.
- Inheart: AI-enabled cardiac mapping and electrophysiology imaging company. Comparable to iCardio.ai's AutoLabel ICE and Abbott collaboration in applying AI to intracardiac echo for electrophysiology procedures, though focused on a narrower procedural use case.
Broad incumbents
- Philips (Cardiac Ultrasound / HeartModel): Global incumbent in cardiac ultrasound with HeartModel AI for automated echo quantification. Competes with iCardio.ai at the OEM layer with a vertically integrated hardware+AI offering, but lacks iCardio.ai's hardware-agnostic API approach.
- Siemens Healthineers (Cardiac Ultrasound AI): Major ultrasound OEM with embedded AI features in its ACUSON cardiac ultrasound line. Competes with iCardio.ai for AI-on-ultrasound budgets, especially in European and emerging markets where Siemens has strong installed bases.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
iCardio.ai social profiles
Digital presenceiCardio.ai compliance and trust
Trust signalCompliance2 records
iCardio.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
iCardio.ai leadership team
Management profileNumber of profiles
Profiles11 records
iCardio.ai funding detail
Funding detailFunding overview
Funding rounds3 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
iCardio.ai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about iCardio.ai
What does iCardio.ai do?
iCardio.ai develops FDA 510(k)-cleared artificial intelligence software for automated interpretation of echocardiography, including EchoMeasure™ for automated cardiac measurements and CardioVision™ for AI-driven detection of aortic stenosis from PLAX clips. The company licenses these AI tools and exposes them via REST API for integration into PACS platforms, ultrasound hardware, and care coordination systems used by hospitals, cardiology practices, and ultrasound OEMs globally.
Is iCardio.ai a public or private company?
iCardio.ai is a private company. It is classified as venture growth investor backed and is currently operating.
When was iCardio.ai founded?
iCardio.ai was founded in 2019. It employs 11 to 50 people.
Where is iCardio.ai based?
iCardio.ai is headquartered in Los Angeles, United States, in the North America region.
How does iCardio.ai make money?
Three revenue lines are on record. AI Software Licensing is the primary driver. The others are enterprise API Services and data and Custom Model Development Services.
Who are iCardio.ai's main competitors?
Direct peers on record are Ultromics, Caption Health (now part of GE HealthCare) and EchoNous. Emerging players are Arterys (Tempus), Anumana, HeartFlow, Cleerly and Inheart. Broad incumbents are Philips (Cardiac Ultrasound / HeartModel) and Siemens Healthineers (Cardiac Ultrasound AI).
Does iCardio.ai have an API?
Yes. iCardio.ai offers a REST API that enables integration of its AI algorithms for automated echocardiographic interpretation. The API supports automated echo measurements, image perspective classification, image quality assessment, and structural heart disease detection. The API is available for enterprise integration as indicated by enterprise service offerings including custom-tailored automated solutions and deployment of existing algorithms. Partners including UltraLinQ, deepc, SARC MedIQ, and HeartLab integrate iCardio.ai's technology via API into their PACS platforms.
What industry is iCardio.ai in?
iCardio.ai's product category is Medical Imaging AI Software. Its primary akta.pro industry code is HLACANAG, SaMD – Imaging & Signal Analysis (AI/ML), with a secondary code of HLACALAG, AI Orchestration & Imaging Analytics Platforms (Model Management/Triage). Its NAICS code is 334510 and its SIC code is 3841.