inHEART

inHEART

Bordeaux, France· Est.
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Private Company

Total funding raised: $13.5M

Overview

inHEART is a private, Bordeaux-based company founded in 2017, specializing in AI-powered cardiac imaging software. Its core platform creates a patient-specific digital twin of the heart from standard medical images, providing electrophysiologists with unprecedented anatomical insights to plan and guide ablation therapies, primarily for ventricular tachycardia. The company is in a commercial stage, with its solution integrated into over 300 partner hospitals across 40+ countries, and is backed by investors like SWEN Capital Partners. Its value proposition centers on reducing procedure times and improving success rates for complex cardiac ablations.

CardiologyCardiac Electrophysiology

Technology Platform

Proprietary AI/ML algorithm that analyzes cardiac CT and MR images to automatically generate a patient-specific 3D digital twin of the heart, detailing anatomy, scar tissue, and substrate for arrhythmias. The models integrate with electroanatomic mapping systems for procedure guidance.

Funding History

2
Total raised:$13.5M
Series A$10M
Seed$3.5M

Opportunities

The growing global adoption of catheter ablation for complex arrhythmias creates a large market for precision planning tools.
Expansion into new indications like atrial fibrillation and integration of predictive analytics could significantly broaden the platform's utility and market reach.

Risk Factors

Key risks include intense competition from large medtech companies with integrated solutions, the ongoing challenge of securing favorable reimbursement codes in key markets like the US, and the need to continuously validate AI performance across diverse patient populations and imaging protocols.

Competitive Landscape

inHEART competes in the cardiac image integration space, facing potential competition from the in-house software of major electrophysiology mapping system manufacturers (Abbott, Biosense Webster, Boston Scientific) as well as other specialized software startups. Its differentiator is the claimed sophistication and depth of its AI-generated anatomical models focused on substrate characterization.