Viz.ai

Viz.ai uses AI to analyze CT scans for suspected stroke, pulmonary embolism, and aortic disease, then auto-activates the care coordination workflow across the care team. Reached profitability in healthcare business in 2025. $250M+ total funding. Expanded beyond stroke into oncology and HCM. Won third consecutive Edison Award in 2025. Growing life sciences business.

Viz.ai pioneered the AI-plus-care-coordination model that closes the diagnostic-to-treatment loop; it reached healthcare business profitability in 2025, making it one of the first clinical AI companies to demonstrate standalone unit economics.

viz.ai Imaging & Diagnostics AI

United Statesprivate

At a glance

Total raised

$289.5M

last round growth

Headcount

201-500

approximate · public range

Headquarters

San Francisco

United States

Founded

2016

10 years active

Status

Private

Imaging & Diagnostics AI

Patents on file

USPTO grants

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Funding history

Total raised

$289.5M

Rounds tracked

Latest stage

Growth

Date	Stage	Amount	Valuation	Lead investors
Mar 1, 2023	Growth	$40M	—	CIBC Innovation Banking
Apr 7, 2022	Series D	$100M	$1.2B	Tiger Global, Insight Partners
Mar 17, 2021	Series C	$71M	—	Scale Venture Partners, Insight Partners
Oct 23, 2019	Series B	$50M	—	Greenoaks
Jul 18, 2018	Series A	$21M	—	Kleiner Perkins
May 24, 2017	Seed	$7.5M	—	DHVC (Danhua Capital), Innovation Endeavors

Founder backgrounds

David Golan

Co-Founder, Board Member

Holds a PhD in Statistics and Machine Learning from Tel-Aviv University and was a Fulbright postdoctoral scholar at Stanford, where he applied deep learning to medical imaging and genetic data. He has coauthored 20+ scientific papers, including three in the journal *Science*. Before his academic career, he founded the ML team at b-hive Networks, an Israeli startup acquired by VMware in 2008. At Viz.ai he served as CTO before moving to a board role; the company earned the first FDA clearance for an AI-powered stroke triage system.

Dr. Chris Mansi

CEO and Co-Founder

A UK-trained neurosurgeon who pivoted to entrepreneurship after experiencing firsthand the delays that cost stroke patients critical treatment time. Mansi earned his MBA from Stanford (2014–2016), where he participated in the Stanford Biodesign program — the curriculum's "need-first" methodology directly shaped Viz.ai's founding insight. Eric Schmidt, his professor at Stanford, provided the company's seed funding. Under his leadership, Viz.ai secured two FDA *de novo* clearances — the first for AI-powered computer-aided triage (2018) and later for cardiovascular machine learning — and has scaled to over 1,800 hospitals across 30 care pathways. He was named to the TIME100 AI list in 2024.

Manoj Ramachandran

Co-Founder

A practicing paediatric orthopaedic and trauma surgeon and professor, Ramachandran co-founded Viz.ai as his fourth business venture. He qualified from King's College School of Medicine, University of London with a double honours degree, and holds an FRCS(Tr&Orth) from the Royal College of Surgeons of England. Prior to Viz.ai, he co-founded Halfloop, a patient-powered intelligence platform for medical implants. He remains clinically active — balancing operating lists with company building — and has described his career as driven by an ethos that if he is doing the same thing in ten years, he is not evolving.

AI bull / bear

Bull case

Viz.ai reached healthcare business profitability in 2025 — a milestone almost no clinical AI company has hit — proving its stroke detection and care coordination model generates standalone unit economics. The moat here is not the algorithm; it is the automated workflow activation that closes the diagnostic-to-treatment loop, which embeds Viz deeply into hospital systems and makes switching costly. Expansion beyond stroke into pulmonary embolism, aortic disease, oncology, and HCM dramatically widens the addressable market while leveraging the same platform architecture. The growing life sciences business adds a second, uncorrelated revenue stream: pharma companies pay Viz to accelerate clinical trial recruitment by identifying eligible patients from imaging. Three consecutive Edison Awards through 2025 signal sustained product leadership. With $290M in total funding, the company has ample capital to fund category expansion without diluting existing shareholders, and profitability gives it the option to grow on its own cash flow rather than returning to market at unfavorable terms.

Bear case

Viz.ai's last funding round was a $40M growth facility from CIBC Innovation Banking in March 2023 — a bank, not a venture investor — and zero equity rounds have closed since. A two-year funding gap while burning capital on oncology and HCM expansion raises questions about valuation trajectory and whether growth has stalled. Profitability in the healthcare business is real but may reflect cost discipline applied to a maturing stroke franchise rather than breakout growth in newer indications. Stroke is Viz's anchor, but each new clinical area — oncology, HCM, aortic disease — requires separate FDA clearances, clinical validation studies, and hospital workflow redesign, making expansion slow and expensive. Large imaging OEMs including Siemens Healthineers and GE HealthCare are embedding AI detection directly into scanners and PACS workflows, threatening to commoditize the detection layer that feeds Viz's platform. The life sciences business, while promising, depends on pharma R&D budgets that are cyclical and concentrated among a handful of large customers. If Viz cannot accelerate new-indication revenue before stroke growth plateaus, the profitability narrative could reverse.

Generated by deepseek-v4-pro · May 2, 2026Refreshes quarterly · see disclosures

In the news

Healthcare IT News5/11/2026
Vendor Notebook: Health AI bolstered by collective approaches to quality
Viz.ai partners with National Rural Health Association and InterSystems to enhance rural care coordination through AI governance and workflow automation.

Watch

Leadership

Dr. Chris Mansi

CEO and Co-Founder

David Golan

Co-Founder, Board Member

—

Manoj Ramachandran

Co-Founder

—

Jallel Harrati

Chief Revenue Officer

—

Products

Viz.ai One®
Viz.ai One is the flagship AI-powered care coordination platform that uses over 50 FDA-cleared algorithms to analyze medical imaging — including CT scans, EKGs, and echocardiograms — to detect suspected stroke, pulmonary embolism, aortic disease, and other conditions in real time. It automatically alerts and connects the entire care team via mobile app, enabling faster treatment decisions across neurology, cardiology, and vascular specialties. Deployed in over 1,800 hospitals, it was the first AI platform to receive CMS reimbursement.
Viz Assist
Viz Assist is a multimodal AI agent platform that works alongside clinicians to surface real-time, guideline-based recommendations directly within the Viz Platform. Using generative AI, it automates pre-charting, documentation, and clinical busywork so care teams can focus on patient-facing decisions. It identifies critical patients, automates care coordination tasks, and delivers actionable insights at the point of care to accelerate treatment timelines.
Viz Agent Studio
Viz Agent Studio is a capability within the Viz.ai One platform that enables health systems to build, customize, and deploy their own AI-powered care pathways. Using natural language and AI-assisted tools, clinical and operational leaders can translate clinical guidelines into standardized, scalable workflows — expanding how care protocols are applied across every patient, every time, without requiring deep technical expertise.

Most recent patents

Viz.ai Inc.·2026-02-17
Method And System For Computer-Aided Triage
US12555235
Abstract
Method And System For Computer-Aided Triage
US12555235
Abstract A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.
View on Google Patents
Viz.ai Inc.·2025-12-30
Method And System For Computer-Aided Triage Of Stroke
US12512215
Abstract
Method And System For Computer-Aided Triage Of Stroke
US12512215
Abstract A system for computer-aided triage includes a router, a remote computing system, and a client application. Additionally or alternatively, the system 100 can include any number of computing systems, servers, storage, lookup table, memory, and/or any other suitable components. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a first point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.
View on Google Patents
Viz.ai Inc.·2025-09-30
Method And System For Computer-Aided Triage Of Stroke
US12430768
Abstract
Method And System For Computer-Aided Triage Of Stroke
US12430768
Abstract A system for computer-aided triage includes a router, a remote computing system, and a client application. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.
View on Google Patents
Viz.ai Inc.·2025-09-02
Method And System For Cardiac Signal Processing
US12402838
Abstract
Method And System For Cardiac Signal Processing
US12402838
Abstract A system for cardiac signal processing, preferably including any or all of: a data collection device, a set of computing and/or processing subsystems, a set of algorithms and/or models, and/or a set of output devices. A method for cardiac signal processing, preferably including processing a set of inputs to determine a set of metrics and determining a set of outputs based on the set of metrics and/or a set of supplementary metrics, and optionally including any or all of: receiving a set of inputs, determining a set of supplementary metrics associated with the set of metrics, and/or triggering the set of outputs.
View on Google Patents
Viz.ai Inc.·2025-01-14
Method And System For Computer-Aided Triage
US12198342
Abstract
Method And System For Computer-Aided Triage
US12198342
Abstract A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.
View on Google Patents
Viz.ai Inc.·2024-08-20
Method And System For Computer-Aided Triage Of Stroke
US12068070
Abstract
Method And System For Computer-Aided Triage Of Stroke
US12068070
Abstract A system for computer-aided triage includes a router, a remote computing system, and a client application. Additionally or alternatively, the system 100 can include any number of computing systems, servers, storage, lookup table, memory, and/or any other suitable components. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a first point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.
View on Google Patents
Viz.ai Inc.·2024-06-11
Method And System For Computer-Aided Aneurysm Triage
US12008742
Abstract
Method And System For Computer-Aided Aneurysm Triage
US12008742
Abstract A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.
View on Google Patents
Viz.ai Inc.·2024-05-14
Method And System For Cardiac Signal Processing
US11980483
Abstract
Method And System For Cardiac Signal Processing
US11980483
Abstract A system for cardiac signal processing, preferably including any or all of: a data collection device, a set of computing and/or processing subsystems, a set of algorithms and/or models, and/or a set of output devices. A method for cardiac signal processing, preferably including processing a set of inputs to determine a set of metrics and determining a set of outputs based on the set of metrics and/or a set of supplementary metrics, and optionally including any or all of: receiving a set of inputs, determining a set of supplementary metrics associated with the set of metrics, and/or triggering the set of outputs.
View on Google Patents

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