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AI infrastructure

InVision Medical Technology

At InVision, we use AI to help streamline the interpretation of ultrasounds and identify diseases that may have been missed by human readers. Our models have been tightly integrated into the clinical workflow to allow easy usage by clinicians. Our work has previously been peer-reviewed and published in several top medical venues, including Nature (2020), Nature Medicine (2021), Lancet Digital Health (2021), JAMA Cardiology (2022). Results from our blinded and randomized clinical trial on evaluat

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #2233

At InVision, we use AI to help streamline the interpretation of ultrasounds and identify diseases that may have been missed by human readers. Our models have been tightly integrated into the clinical workflow to allow easy usage by clinicians. Our work has previously been peer-reviewed and published in several top medical venues, including Nature (2020), Nature Medicine (2021), Lancet Digital Health (2021), JAMA Cardiology (2022). Results from our blinded and randomized clinical trial on evaluat

source
generated read
High Signal interpretation

InVision Medical Technology is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
AImodels
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to InVision Medical Technology

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Meru Health

match 70

Meru Health is an online provider for greater mental health with remote clinicians (licensed therapists & psychiatrists), a smartphone-based treatment program, a biofeedback wearable and an anonymous peer-support group. Meru Health is committed to evidence-based care and has published groundbreaking clinical outcomes in several peer-reviewed medical journals with Harvard & UC Davis. Meru Health has offices in San Mateo CA, Denver CO and Helsinki, Finland.

shared product terms: clinical, clinician, peer, review; shared product theme: health and clinical care; shared affiliation: Y Combinator

Mecha Health

match 64

Mecha Health builds foundation models to automate x-ray analysis for radiologists. We take medical images and process them using proprietary models to produce accurate draft medical reports. Our first model was built in less than two months, and beat Microsoft, Google, and OpenAI on clinical accuracy metrics. On top of that, it’s two orders of magnitude smaller and trained with a quarter of the data. We are partnering with the largest privately owned radiology practice in the US and a multinatio

shared extracted concept terms: model; shared product terms: model, clinical, top, medical; shared product theme: workflow automation, health and clinical care; same category: AI infrastructure; shared affiliation: Y Combinator

Adni

match 62

Healthcare workers use Adni’s AI career app to find jobs, buy gear, connect with peers, store credentials, review clinical info, and more. Healthcare employers, like Penn Medicine, Medical Solutions, and MedPro use Adni’s clinician network and AI sourcing and screening agents to hire healthcare talent faster and cheaper. Backed by YC, Flare Capital, Liquid 2, Fresco, Augment, Crista Galli, Adam Grant, the founders of CareRev, Clipboard Health, Papa, and more.

shared product terms: peer, review, clinical, medicine; shared product theme: health and clinical care; shared affiliation: Y Combinator

Cofactor Genomics

match 59

Cofactor uses RNA and Predictive Immune Modeling to build better biomarkers and improve patient outcomes. Led by Jarret Glasscock and a group of expert human genome scientists,Cofactor has built a new category of diagnostic technology powered by unique and powerful RNA data models built on terabytes of data. The team recently had their technology validation peer-reviewed by the organizations that set standards for diagnostic technology (CAP, AMP) and is publishing in the Journal of Molecular Dia

shared extracted concept terms: model; shared product terms: model, human, peer, review; shared product theme: health and clinical care; same category: AI infrastructure; shared affiliation: Y Combinator

DeltaGenAI

match 50

DeltaGen transforms AI from a complex tool for the elite into an accessible, powerful asset for employees at all levels. Our enterprise AI platform eliminates the need for prompting and coding, delivering tailored results seamlessly. Key features include LinkedIn integration, role-specific workflows, and multi-model capabilities, all secured with top-tier data privacy. Join us in redefining AI usability and driving widespread adoption.

shared extracted concept terms: model; shared product terms: result, workflow, model, top; shared product theme: workflow automation; same category: AI infrastructure

Reticular

match 46

Reticular is scaling polygenic prediction for embryo selection, helping IVF couples plan their families today while building a platform to unlock cures for complex heritable diseases long-term. John competed Biology Olympiads before spending 4 years at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.

shared extracted concept terms: model; shared product terms: disease, model, publish, nature; same category: AI infrastructure; shared affiliation: Y Combinator