Viz.ai
Level 25: Medicine, Diagnostics & Medical Technology
Health & Environment · Level 25
In short
Viz.ai is an AI tool in the Biology & Medicine category from Viz.ai, Inc. in San Francisco, United States. The pricing model is paid. It is available in English only.
What is Viz.ai?
Viz.ai is a specialized AI platform deployed in clinical settings to automate the analysis of medical imaging data, such as CT scans. The software detects signs of critical neurological or cardiovascular events, such as strokes or pulmonary embolisms, in real-time. By facilitating instant detection, the platform enables care teams to be alerted faster, ensuring that life-critical decisions are made without delay.
The underlying technology relies on advanced deep learning algorithms trained on large datasets to accurately distinguish pathological changes from healthy tissue. Once the imaging data is processed, the results are immediately pushed to the mobile devices of the relevant specialists. This significantly reduces the 'door-to-needle' time, which is vital for improving patient survival rates and long-term recovery in time-sensitive medical scenarios.
The system is designed for direct integration into hospital infrastructure to ensure a seamless fit into daily medical workflows. It acts as a central communication hub that does not only analyze images but also coordinates care between different hospital specialists. The platform operates under strict regulatory requirements and adheres to global quality standards for medical software products.
Core features & strengths
- Automated Imaging Analysis — The system autonomously analyzes CT images immediately after acquisition. It identifies suspicious patterns indicating occlusions or hemorrhages and highlights them for review by radiologists.
- Mobile Care Team Alerts — Upon detecting a critical finding, the software sends a secure alert to the mobile devices of the assigned care team members. This enables instant communication and coordination among multidisciplinary teams.
- Workflow Integration — The platform integrates directly into existing PACS systems and clinical workflows. It serves as an communication layer that optimizes collaboration within the hospital and between different clinical facilities.
Who is this tool for?
The solution is designed exclusively for hospitals, medical centers, and specialized stroke or cardiac care units. The primary users are radiologists, neurologists, cardiologists, and emergency medical personnel.
Typical use case
A patient suspected of having an ischemic stroke is brought to a hospital and immediately undergoes a CT scan. Before the radiologist manually reviews the scan, Viz.ai analyzes the data and identifies a large vessel occlusion. The software instantly notifies the neurologist and stroke team via a push notification. Due to the saved time, the patient receives targeted treatment minutes after the scan, significantly reducing the risk of permanent brain damage.
What is Viz.ai good for?
- The solution is designed exclusively for hospitals, medical centers, and specialized stroke or cardiac care units. The primary users are radiologists, neurologists, cardiologists, and emergency medical personnel.
- A patient suspected of having an ischemic stroke is brought to a hospital and immediately undergoes a CT scan.
- Automated Imaging Analysis: The system autonomously analyzes CT images immediately after acquisition. It identifies suspicious patterns indicating occlusions or hemorrhages and highlights them for review by radiologists.
- Mobile Care Team Alerts: Upon detecting a critical finding, the software sends a secure alert to the mobile devices of the assigned care team members. This enables instant communication and coordination among multidisciplinary teams.
- Workflow Integration: The platform integrates directly into existing PACS systems and clinical workflows. It serves as an communication layer that optimizes collaboration within the hospital and between different clinical facilities.
When a different tool fits better
The tool is not intended for personal or private use and does not replace the expertise of a medical professional. It must not be used in facilities that lack the appropriate clinical certifications and regulatory clearances.
Pricing & plans
Plans in detail
- Enterprise / ClinicalUpon requestUpon requestcustom
- AI-powered medical imaging analysis
- Integration into clinical workflows
Good to know
- No public pricing available.
- Billing is based on institutional requirements and scope of implementation.
- No free trial for individual users.
Prices checked on 26/09/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
The user interface and clinical functions are primarily available in English.
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: Data processing takes place primarily on servers in the US, adhering to strict medical standards and security certifications (e.g., SOC2).
Training on your inputs: Patient data is not used for training general AI models according to the provider; the company complies with strict medical confidentiality rules (HIPAA).
For companies: Enterprise deployment requires a BAA (Business Associate Agreement) to regulate the handling of Protected Health Information (PHI).
Practical advice: The tool is intended solely for use by healthcare professionals in clinical settings; do not input any data that is not authorized for the clinical diagnostic process.
- GDPR:
- EU data protection regulation: defines how personal data may be processed and what rights you have (access, deletion, objection).
- SCC (Standard Contractual Clauses):
- EU model clauses that let a provider legally process data outside the EU.
- SOC 2:
- Independently audited security report (access control, availability, confidentiality) — not a privacy seal, but a sign of professional IT security.
- HIPAA / BAA:
- US health data rules. A BAA is the matching contract — in the EU it does not replace GDPR requirements.
- Training on user data:
- Your inputs may feed into future model versions. Confidential content could in theory resurface in other users' answers.
Privacy data checked on 05/09/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | Viz.ai, Inc. |
|---|---|
| Headquarters | San Francisco, United States |
| Category | Biology & Medicine |
| Pyramid level | Level 25 – Medicine, Diagnostics & Medical Technology |
| Pricing model | Paid |
| Free forever option | No |
| Open Source | No |
| Entry plan | Enterprise / Clinical: Upon request (Upon request) |
| German | not supported |
| English | interface and content |
| Privacy classification | Unclear |
| Data processing agreement | Enterprise deployment requires a BAA (Business Associate Agreement) to regulate the handling of Protected Health Information (PHI). |
Alternatives to Viz.ai
Still unsure? The AI Tool Finder shows you alternatives.
