MedAI Verdict
Radiology

AI Radiology

Viz.ai

by Viz.ai  ·  founded 2016  ·  US

Last verified

Care coordination platform with FDA-cleared imaging AI for stroke, vascular and cardiac conditions.

At a glance

Pricing
No public price. Sold to health systems after a demo request.
HIPAA
Attested
SOC 2
Type II
EHRs
—
Founded
2016
HQ
US
On this page

Independent score  ·  By our public rubric

67/100Top-ranked
How it’s computed →
  • Regulatory & Compliance
    28/28

    FDA cleared (12 K-numbers on record)

  • Clinical Integration
    0/26

    No EHR integrations listed

  • Evidence Strength
    26/26

    5 peer-reviewed papers

  • Vendor & Market
    18/18

    Top-tier funding and adoption

  • Sentiment & Transparency
    2.5/14

    Pricing on request, no public amounts

▸ Show all 11 dimensions

Regulatory & Compliance

  • FDA clearance18/18

    FDA cleared (12 K-numbers on record)

  • HIPAA / SOC2 / BAA10/10

    HIPAA + (SOC2 or BAA) attested

Clinical Integration

  • EHR integrations (count)0/14

    No EHR integrations listed

  • Top-3 EHR coverage (Epic / Oracle / Athena)0/8

    None of the top-3 EHRs covered

  • Bidirectional write-back0/4

    No bidirectional write-back documented

Evidence Strength

  • Peer-reviewed papers18/18

    5 peer-reviewed papers

  • RCT / meta-analysis / systematic review8/8

    1 RCT/Meta-Analysis/Systematic Review

Vendor & Market

  • Funding & adoption signal12/12

    Top-tier funding and adoption

  • Years in market6/6

    Founded 2016 (10 years)

Sentiment & Transparency

  • Clinician sentiment (Reddit)0/9

    No clinician sentiment data available

  • Pricing transparency3/5

    Pricing on request, no public amounts

Scored October 15, 2026 · Public scoring method v1.1.0

Bottom line  ·  Best for stroke + cardio coordination

Stroke + cardio + PE coordination at 1,700+ US hospitals.

50+ FDA clearances. Strongest care-coordination workflow layer beyond pure detection.

Editorial review  ·  By MedAI Verdict

Bottom line

Viz.ai is a care-coordination platform built on imaging and ECG algorithms. Viz.ai says it detects a suspected emergency such as a large-vessel occlusion, alerts the team on their phones and helps coordinate transfer. It began in stroke and has extended into cardiology, vascular disease and other pathways. It fits a stroke network or a hospital system that loses time between the scan and the call to the interventionalist. A 2025 meta-analysis found shorter transfer times with Viz.ai and no significant difference in clinical outcomes, so a hospital should buy it for faster workflow. A small hospital with no neurointerventional access gets little from it, and so does a buyer who needs a public price before the first call.

What is Viz.ai and who sells it?

Viz.ai calls its product an "AI-powered care coordination platform" linking patients, clinicians and treatments, built on more than 50 imaging-analysis algorithms (Viz.ai website, October 2026). The suites it lists are Viz Neuro, Vascular, Cardio, Pulmonary, Radiology, Trauma and Oncology. Neuro covers aneurysm, CT perfusion, hemorrhage, large-vessel occlusion, subdural and post-acute stroke. Vascular covers aortic disease and pulmonary embolism. Cardio covers hypertrophic cardiomyopathy, acute coronary syndrome and cardiac amyloidosis. The company also sells Viz Assist, Viz Agent Studio, which lets health systems build their own AI care pathways, and a Viz Life Sciences offering.

Viz.ai, Inc. was founded in 2016 by Chris Mansi and Manoj Ramachandran and is headquartered in San Francisco, with research and development in Israel (Tracxn). A $100M Series D in April 2022 was led by Tiger Global and Insight Partners at a $1.2B valuation, bringing total funding to about $250M, according to Calcalist and the company's announcement. Tracxn lists a further $40M debt financing in March 2023. Kleiner Perkins is a named backer.

A July 28, 2026 company release says the platform is embedded in 2,000 hospitals, reaches 230 million patients and runs more than 50 AI care pathways. Those are vendor figures.

What does Viz.ai do well?

Viz.ai pushes a detected finding, such as a large-vessel occlusion on a CT angiogram, to a mobile app and group messaging thread and helps coordinate transfer (Viz.ai website). A 2026 paper in the Journal of Stroke and Cerebrovascular Diseases (PMID 41653946) describes integrating a Life Flight service into the Viz.ai thread.

The company's ContaCT software received the first De Novo for radiological computer-assisted triage and notification software, DEN170073, granted February 13, 2018, for large-vessel occlusion on CT angiography (FDA De Novo database).

The Trust Center lists SOC 2 Type II, a HIPAA program, ISO 27001, ISO 27701, ISO 27799, ISO 27017, ISO 27018 and ISO 27035, with reports available on request (Viz.ai Trust Center). HITRUST is not listed. The Trust Center says the platform processes PHI at 2,000 hospitals and health systems in the U.S. and Europe. The EHR and PACS integration list is not on the home page, though the site lists a Microsoft Cloud for Healthcare partnership.

How many FDA clearances does Viz.ai hold?

The vendor says 13 clearances and its home page says "over 50 advanced, FDA-cleared algorithms". The FDA database shows 12 records for the applicant "Viz. Ai, Inc.", 10 510(k)s and 2 De Novos, as queried in October 2026.

The first is DEN170073, the ContaCT De Novo. The 510(k)s run from Viz CTP in April 2018 (K180161) through Viz ICH in 2020 and 2021, Viz ANEURYSM, Viz SDH, Viz RV/LV, Viz LVO ContaCT and Viz AAA in 2022 and 2023, Viz HDS, Viz Volume Plus and Viz ICH+ in February 2024 (K232363), and Viz Subdural+ in June 2025 (K250354). The second De Novo is DEN230003, Viz HCM, a cardiovascular machine-learning notification device granted in August 2023. Indications are listed per K-number on the FDA site.

What does the evidence say?

The key study is a 2025 systematic review and meta-analysis in Translational Stroke Research (PMID 40335883), covering 12 studies and 15,595 patients. Viz.ai use was associated with shorter door-to-groin time (standardized mean difference of -0.47) and shorter door-in-door-out time (-0.49). The review found no significant difference in clinical outcomes.

The Viz.ai news pages include studies funded by the vendor. The Life Flight paper above is an implementation report and not an outcome trial.

How does Viz.ai compare with Aidoc and RapidAI?

Web comparisons pair Viz.ai most often with Aidoc, and RapidAI is the third frequent name. The wider radiology set is Annalise.ai, Qure.ai and MaxQ, and a 2026 Medicina scoping review also names Brainomix. Viz.ai starts from the care team's phone and from stroke, then widens to cardiology and other pathways. Aidoc starts from the radiology worklist.

How much does Viz.ai cost?

Viz.ai lists no price. Access is through a demo request and an enterprise sales process.

Who is Viz.ai for?

A neurointerventional program at a thrombectomy-capable stroke center, working with spoke hospitals that transfer patients, is the clearest fit, because the meta-analysis time savings are in door-in-door-out and door-to-groin intervals. A cardiology service interested in finding patients with hypertrophic cardiomyopathy or cardiac amyloidosis in existing imaging has a second use, though the pooled evidence concerns stroke. A hospital CIO looking for a platform to host its own AI models may look at Viz Agent Studio, which the vendor describes in its 2026 release.

A rural hospital with no transfer partner will pay for alerts it has nowhere to send.

The verdict

Buy Viz.ai if you run or feed a thrombectomy center and the bottleneck is the hour between scan and call. If your aim is better recoveries on their own, the pooled studies do not promise that, and a hospital without a transfer pathway has no use for the alert.

Editorial review last generated October 15, 2026. Synthesized from clinician sentiment, peer-reviewed coverage, and our editorial silo picks. Refined by hand where vendor facts change.

Pricing

What it costs

All tiers are custom-quoted. The vendor does not publish per-provider list pricing.

TierMonthlyAnnualNotes
Enterprise——No public price. Sold to health systems after a demo request.

Source: vendor pricing page. Last checked October 15, 2026.

Compliance + integration

What deploys cleanly

Carries FDA 510(k) (multiple), FDA De Novo (ContaCT, Viz HCM), HIPAA, SOC 2 Type II, ISO 27001, ISO 27701, ISO 27799, ISO 27017, ISO 27018, ISO 27035 per vendor documentation. Independent attestation review is the buyer's responsibility before clinical deployment.

Vendor stability

Who builds it

Viz.ai (Viz.ai) was founded in 2016 in US, putting it 10 years into market.

Peer-reviewed coverage

What the literature says

5 peer-reviewed studies indexed on PubMed evaluate Viz.ai in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.

Automated Emergent Large Vessel Occlusion Detection Using Viz.ai Software and Its Impact on Stroke Workflow Metrics and Patient Outcomes in Stroke Centers: A Systematic Review and Meta-analysis.
Sarhan K, Azzam AY, Moawad MHED, et al.· Transl Stroke Res· 2025Meta-Analysis
The implementation of artificial intelligence (AI), particularly Viz.ai software in stroke care, has emerged as a promising tool to enhance the detection of large vessel occlusion (LVO) and to improve stroke workflow metrics and patient outcomes. The aim of this systematic review and meta-analysis is to evaluate the impact of Viz.ai on stroke workflow efficiency in hospitals and on patients' outcomes. Following the PRISMA guidelines, we conducted a comprehensive search on electronic databases, including PubMed, Web of Science, and Scopus databases, to obtain relevant studies until 25 October…
Revolutionizing Intracranial Hemorrhage Diagnosis: A Retrospective Analytical Study of Viz.ai ICH for Enhanced Diagnostic Accuracy.
Roshan MP, Al-Shaikhli SA, Linfante I, et al.· Cureus· 2024
Introduction Artificial intelligence (AI) alerts the radiologist to the presence of intracranial hemorrhage (ICH) as fast as 1-2 minutes from scan completion, leading to faster diagnosis and treatment. We wanted to validate a new AI application called Viz.ai ICH to improve the diagnosis of suspected ICH. Methods We performed a retrospective analysis of 4,203 consecutive non-contrast brain computed tomography (CT) reports in a single institution between September 1, 2021, and January 31, 2022. The reports were made by neuroradiologists who reviewed each case for the presence of ICH. Reports an…
Real-world evaluation of the accuracy of the Viz.AI automated intracranial hemorrhage volume calculation tool.
Odland I, Liu KJ, Wu D, et al.· J Neurointerv Surg· 2025
Appropriate management of spontaneous intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) requires rapid, accurate volume estimation. Viz.AI has developed an artificial intelligence (AI)-powered ICH calculation tool that may improve existing methods. Adult patients presenting to a large healthcare system between December 2015 and December 2021 with spontaneous ICH greater than 10mL and within 72 hours since ictus were analyzed for hematoma volume. mABC/2 (modified ABC/2) was measured by a board-certified neurosurgeon. Semi-autonomous segmentation (SAS) was performed by a trai…
VISIION-L: Viz.ai implementation of stroke augmented intelligence and communications platform to improve indicators and outcomes for a comprehensive stroke center and network - Life Flight. A pilot experience.
Meyer BC, Shifflett B, Meyer DM, et al.· J Stroke Cerebrovasc Dis· 2026
Improving Life Flight transfer processes is critical. Our telestroke program utilizes the Viz.ai (AI platform) for hyperacute stroke patients with potential vessel occlusions who could benefit from hyperacute transfer. We hypothesized that early incorporation of Life Flight into the multi-team Viz.ai discussion thread would improve communications and streamline transfer times. We deployed the Viz-Life Flight software module, enabling Life Flight dispatch and helicopter teams access to specific hyperacute transfer cases. Life Flight dispatch and teams were trained on the module use. Variables…
Transforming Stroke Diagnosis with Artificial Intelligence: A Scoping Review of Brainomix e-Stroke, Aidoc, RapidAI, and Viz.ai.
Dorochowicz M, Kacała A, Tołkacz A, et al.· Medicina (Kaunas)· 2026
: Rapid diagnosis is fundamental to acute ischemic stroke management; however, access to neuroradiological expertise remains limited. This scoping review maps the diagnostic accuracy, workflow impact, and cost-effectiveness of leading AI platforms (Brainomix, Aidoc, RapidAI, and Viz.ai), characterizing industry and peer-reviewed metrics.: Following PRISMA-ScR guidelines, we searched PubMed, Cochrane Library, and HTA repositories for studies (2019-2025). Using a PICO-based framework, 29 studies were included for thematic mapping of the technological landscape.: Twenty-nine studies were include…

See all on PubMed