Company profile

Anumana AI

Cardiology & Cardiovascular HealthSeries C stage

Company profile

About Anumana AI

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

Company description Anumana AI official website

Primary marketCardiology & Cardiovascular Health
Commercial modelCommercial information available on request
Company presenceLinkedIn X
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Atrial fibrillation
  • Cardiac amyloidosis
  • Cardiomyopathies
  • Heart failure
  • Hyperkalemia
  • Left ventricular diastolic dysfunction
  • Low ejection fraction
  • Peripartum cardiomyopathy
  • Pulmonary hypertension

Who it serves

  • Cardiology practices
  • Clinics
  • Health Systems
  • Hospitals

Deployment & integration

Embedded · On Premise · Other deployment with recorded integration context.

Recorded integration context: Compatible with many ECG systems commonly used in clinical practice, ECG Management Systems (XML or DICOM waveform files), EHR systems via HL7 integration.

Geographic context

MarketsEuropean Union · Nigeria · United States
Company sourceOfficial website

Company milestones

Platform expansion

FDA clearance for ECG-AI Cardiac Amyloidosis algorithm (April 2026 - first and only). Expanding into perioperative cardiac care with generative AI imaging technologies. Multiple peer-reviewed publications in 2024-2026 including Nature Medicine, JACC, European Heart Journal.

Partnerships

Recorded partners

  • 6 hospitals in Nigeria (SPEC-AI trial)
  • Leading academic medical centers (exclusive partnerships for 22M+ patient records)

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

AI-Enabled Digital Stethoscope

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

Device · EmbeddedCompany source

ECG-AI Platform

Secure, clinically validated infrastructure for seamless ECG-AI integration

Platform · On PremiseCompany source

ECG-AI Pulmonary Hypertension

AI algorithm for pulmonary hypertension detection from ECG

Software · On PremiseCompany source

ECG-AI® Cardiac Amyloidosis

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

Software · On PremiseCompany source

ECG-AI® Cardiac Amyloidosis Algorithm

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

Software · On PremiseCompany source

ECG-AI® LEF

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

Software · On PremiseCompany source

ECG-AI® Pulmonary Hypertension Algorithm

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

Software · On PremiseCompany source

Perioperative Cardiac Imaging Platform

Real-time AI imaging and visualization for cardiac interventions

Platform · OtherCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

Evidence position

Publications, clinical validation, and regulatory records connected to this Company appear here.

Research

Publications & preprints

No linked records are currently available.

Clinical validation

Clinical-trial records

No linked records are currently available.

Regulatory

Regulatory records

No linked records are currently available.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

4.1% vs 2.0% detection rate

LVSD detection in obstetric population using AI-guided screening vs usual care (OR 2.12, P=0.032)

Early identification of at-risk patients

Detection of cardiac disease signals invisible to human eye from standard ECGs

Eligible for reimbursement

CPT III codes configured for charge capture

Philips ECG Ecosystem

Integration of Anumana's FDA-cleared LEF algorithm as first certified third-party solution through Philips' ECG-AI Marketplace to enhance early cardiac diagnosis

First certified third-party solution available through Philips' ECG ecosystem

6 hospitals in Nigeria

AI-guided screening for cardiomyopathies in pregnant and postpartum women in Nigeria, which has the highest reported incidence of peripartum cardiomyopathy worldwide

4.1% detection rate vs 2.0% in control group (2.12x odds ratio, P=0.032) - detected 24 out of 587 patients with LVSD using AI-enabled digital stethoscope compared to 12 out of 608 in standard care

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

No active leadership profiles are currently listed.

06 · Company updates

Updates from Anumana AI

Recent articles published on Anumana AI's official website.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Cardiology & Cardiovascular Health

Companies applying AI to cardiovascular disease detection, ECG/EKG analysis, heart failure management, cardiac imaging, arrhythmia detection, or cardiovascular risk assessment. Includes AI-powered cardiac diagnostics, non-invasive hemodynamic monitoring, and tools for early detection and personalized management of heart conditions.

Explore the full market directory or compare this Company with additional active profiles.

View all Companies in this market

10 · Pro research

Coming soon

Expanded Company research is in development.

Health AI Central Pro · Coming Soon

Deeper Company research is coming soon.

Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.

ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

Coming Soon