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Anumana AI

Anumana AI

Cardiology & Cardiovascular Health

Anumana AI develops and delivers AI-driven ECG algorithms to enable early diagnosis and intervention for cardiovascular conditions.

About Anumana AI

Anumana is an AI-driven health technology company developing ECG algorithms enabling early diagnosis and intervention for cardiovascular diseases.

Mission & Approach

Mission

We develop and commercialize evidence-based AI solutions designed to enable earlier detection and improve patient care across the entire cardiac care continuum.

AI Approach

Deep learning for ECG signal analysis, computer vision for cardiac imaging, generative AI for perioperative imaging and visualization technologies

Products & Solutions

ECG-AI® Cardiac Amyloidosis

software

First and only FDA-cleared ECG-AI algorithm for cardiac amyloidosis detection

AI algorithm that detects cardiac amyloidosis using a standard 12-lead ECG. Received FDA clearance in April 2026 as the first and only algorithm cleared for this indication, enabling earlier identification of this progressive cardiac condition.

Deploy: on premisePricing: enterpriseEHR: HL7 integration, EHR-agnostic with configurable integration
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Perioperative Cardiac Care Platform

platform

Generative AI imaging and visualization for cardiac interventions

Novel generative AI imaging and visualization technologies for perioperative cardiac care. Features real-time imaging platforms and predictive algorithms for structural heart, interventional cardiology, and electrophysiology procedures. Currently in development.

Deploy: otherPricing: undisclosed

ECG-AI® Pulmonary Hypertension

software

First-of-its-kind ECG-AI algorithm for early detection of pulmonary hypertension

AI-enabled algorithm that analyzes standard 12-lead ECGs to detect pulmonary hypertension earlier than traditional methods. Received FDA clearance in March 2026 as the first algorithm of its kind for this indication.

Deploy: on premisePricing: enterpriseEHR: HL7 integration, EHR-agnostic with configurable integration
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AI-Enabled Digital Stethoscope

device

Point-of-care AI predictions for left ventricular systolic dysfunction

Digital stethoscope with integrated AI that provides point-of-care predictions for left ventricular systolic dysfunction. Used in clinical trials for screening pregnant and postpartum women for cardiomyopathies.

Deploy: embeddedPricing: undisclosed

ECG-AI® LEF

Flagshipsoftware

AI-powered detection of low left ventricular ejection fraction from standard 12-lead ECG

ECG-AI® LEF analyzes 60,000 ECG data points from standard 12-lead electrocardiograms to identify low ejection fraction and left ventricular systolic dysfunction. The algorithm was developed using approximately 2.9 million ECG-echo pairs from 676,000+ patients across diverse populations. It integrates seamlessly into existing EHR workflows and is eligible for reimbursement today.

Deploy: on premisePricing: enterpriseEHR: HL7 integration, EHR-agnostic with configurable integration
View Demo →

Customer Success Stories

6 hospitals in Nigeria

hospital

AI-guided screening for pregnancy-related cardiomyopathy in pregnant and postpartum women

2.1x increase in detection of left ventricular systolic dysfunction (4.1% vs 2.0%, OR 2.12, P=0.032)
Read case study →

Hiring Activity

View Open Roles →

Product & Market

Product Stage

launched

Primary Market

providers

Company Details

Founded
2021
Headquarters
Cambridge, MA, USA
Employees
175
Stage
series c
Profile last updated
June 22, 2026

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Latest Updates

Anumana AI

Building sEHR-BERT: A Custom Language Model for Structured Electronic Health Records – Adapting transformer architecture for the unique challenges of medical coding and structured health data

Why Standard BERT Isn’t Enough for Structured EHRs BERT revolutionized natural language processing, but electronic health records (EHRs) present unique challenges that standard language models weren’t designed to handle. While BERT excels at understanding sentences and paragraphs, structured EHRs are fundamentally different—they’re sequences of medical codes, and categorical data that don’t follow natural language patterns. Consider a patient timeline: [I48.91, I49.9, I48.3, I42.0, 82435, 84295,

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Anumana AI

Anumana Secures FDA Clearance for First-of-Its-Kind ECG-AI Algorithm for Early Detection of Pulmonary Hypertension

CAMBRIDGE, Mass. – March 28, 2026 – Anumana , a leader in cardiovascular AI, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its pulmonary hypertension (PH) algorithm, an AI-enabled software-as-a-medical-device (SaMD) that detects early signs of PH, a serious and progressive condition affecting the lungs and right side of the heart. The algorithm, which previously received FDA Breakthrough Device Designation, is the first PH algorithm cleared for use with standard 12-le

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Anumana AI

Anumana Appoints Kevin Ballinger and Jean-Luc Butel to Board of Directors

CAMBRIDGE, Mass.–( BUSINESS WIRE )– Anumana Inc., a leader in AI-powered cardiovascular detection algorithms, today announced the appointment of Kevin Ballinger and Jean-Luc Butel to its Board of Directors. In their roles, Ballinger and Butel will provide strategic guidance to Anumana’s leadership team as the company advances its AI-driven capabilities, expands clinical adoption, and scales operations. “Kevin and Jean-Luc bring a depth of experience that will be an asset to Anumana,” said Maulik

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Anumana AI

Supporting Predictive Analytics to Improve Clinical Decision Making and Patient Outcomes

As we strive to improve clinical decison making and patient outcomes – predictive analytics are a wonderful tool to help us in that goal. But you can’t just decide to throw predictive analytics into your organization; it’s a tool that needs a lot of support. We reached out to our beautiful Healthcare IT Today Community to ask — how can healthcare IT systems support predictive analytics to improve clinical decision making and patient outcomes? The following is what they had to share. Read the art

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Anumana AI

Anumana Makes Educated Inferences in Heart Failure

Anumana was founded in 2021 as the culmination of a joint effort between the Mayo Clinic and nference, an early entrant to the field of machine learning for cardiology-focused clinical solutions. By leveraging large stores of deidentified data that span full patient journeys from physician notes to medications and imaging files, Anumana develops cardiac AI-based solutions that can glean pertinent disease information from electrocardiogram (ECG)waveforms. The company’s first FDA-cleared cardiac E

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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.