Companies

InVision Medical Technology

invisionmedtech.com

InVision builds FDA-cleared AI software that improves echocardiography and detects overlooked cardiovascular disease.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 5d ago
Specialization
Computer Vision
Business
Software Applications
Market
Healthcare
Ecosystem
Applications
Customers
Enterprises
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Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Computer Vision
Market
Healthcare
Customers
Enterprises
Delivery models
Not classified
Revenue models
Not classified
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Latest equity round
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About

InVision Medical Technology builds clinically validated, FDA-cleared AI software for echocardiography, including automated LVEF measurement and cardiac-amyloidosis detection, selling primarily to health systems and clinical providers. Its differentiation is a decade of academic research, deep echocardiography datasets, regulatory clearances, and prospective randomized clinical evidence integrated into clinician workflows.

Market

InVision competes in clinical AI for cardiovascular imaging, particularly AI-assisted echocardiography interpretation, automated measurement, reporting, and cardiac-amyloidosis screening. Its positioning emphasizes clinically validated, FDA-cleared algorithms that work as post-processing software on standard DICOM studies and integrate with existing echo-lab workflows rather than requiring new scanners or hardware. Relative to focused competitors such as Us2.ai and Ultromics and broader imaging vendors such as Siemens and GE, InVision differentiates through a multi-product suite, prospective randomized evidence for LVEF, a large-scale EchoPrime vision-language model, and research-oriented cardiac-data applications.

Target Customers

Primary customers are hospitals and health systems—especially cardiology and echocardiography labs—that want AI-assisted interpretation, standardized measurements, and disease screening without purchasing new ultrasound hardware. Secondary customers include life-sciences and pharmaceutical organizations, plus medical-device companies, seeking structured cardiac imaging data, research-grade validation, or clinical AI partnerships.

At a Glance

Problem

InVision Medical Technology addresses the bottleneck and inconsistency of echocardiography interpretation. About 32 million heart ultrasounds are performed annually in the United States, and acquiring and interpreting each study requires more than an hour of physician and technician time. Human-to-human variation can also produce misdiagnosis and underdiagnosis, leaving clinically important disease undiscovered. The main use case is screening routine echocardiograms for cardiac amyloidosis, a rare but treatable condition that is frequently missed and can be surfaced without adding marginal clinician workload.

Product / Service

InVision provides clinically validated AI software for cardiovascular imaging. Its models analyze standard echocardiographic DICOM studies after acquisition, automate measurements such as left-ventricular ejection fraction, and identify suspected cardiac amyloidosis. The software is designed to fit existing workflows and integrate with PACS, Epic, and structured reporting systems, so hospitals do not need new scanners or specialized hardware. Precision LVEF and Precision Cardiac Amyloid have FDA 510(k) clearance; the company says blinded randomized-trial evidence demonstrated time savings and improved measurement consistency.

Market

The company competes in cardiovascular imaging AI, specifically AI-assisted echocardiography and software as a medical device for health systems and echo laboratories. The competitive set includes HeartFocus, Powerful Medical, and Volta Medical, while Viz.ai is an adjacent competitor offering FDA-cleared echocardiogram measurement and cardiac-amyloidosis detection. InVision differentiates through its decade-long academic research base, peer-reviewed clinical evidence, regulatory clearances, reimbursement support for its amyloidosis workflow through CPT Category III code 0932T, and deployment without new imaging hardware.

InVision appears to have moved beyond a pre-revenue research stage: its site describes live deployments through partners such as HeartLab, and identifies Y Combinator and Alexion, an AstraZeneca Rare Disease company, as backers or strategic partners. The company does not publicly disclose audited revenue in the cited materials, but Latka estimated approximately $2.1 million in annual revenue in 2025, which should be treated as a third-party estimate rather than a confirmed company figure.

Founders & Leadership

David OuyangFounder
Co-founder and CEO
Bryan HeFounder
Co-founder and Chief Technology Officer

Funding History

2022-09
Seed / Pre-Seed$500K

Y Combinator

Recent News

2026-05-07funding
Dandelion Health raises $14M for precision medicine platform

Dandelion Health announced a partnership with InVision Medical Technology to integrate InVision’s echocardiography AI. The announcement accompanied Dandelion’s $14 million Series A financing.

2025-08-20other
Cardiovascular device approvals continue to lead the FDA’s Breakthrough Device Program

Cardiovascular Business coverage identified InVision Medical Technology’s automated AI screening tool for adult echocardiography patients as a device intended to help physicians identify cardiac amyloidosis.

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Business Model

InVision operates an enterprise healthcare-AI model, commercializing FDA-cleared cardiovascular-imaging software for health systems and providers through direct deployments and partnerships. Its products also benefit from a direct reimbursement pathway for certain AI-assisted echocardiography evaluations, while public sources do not disclose specific pricing or contract terms.

Products

InVision Precision LVEFInVision Precision Cardiac AmyloidPrecision Reporting powered by EchoPrimeAutomatic DICOM DeidentificationEcho Core Lab services

Customers

Cedars-Sinai Medical Center (first deployment site)Kaiser Permanente Northern California (validation site)Stanford Healthcare (validation site)Beth Israel Deaconess (validation site)Chang Gung Memorial Hospital, Taiwan (validation site)

Tech Stack

AI/ML for cardiovascular imagingMedical-image processing of standard DICOM echocardiogramsAutomated echocardiographic measurement and interpretationMulti-view, video-based vision-language foundation model (EchoPrime) trained on video-report pairs

Competitors

Us2.ai
Ultromics (EchoGo)
Siemens
GE