Viz.ai
AI-powered care coordination platform with 50+ FDA-cleared algorithms that speed diagnosis and treatment.
By Viz.ai · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Health systems and comprehensive stroke centres that need seconds-fast detection of LVO, hemorrhage and aneurysm
- Radiology and neurointerventional teams coordinating patient transfers across hub-and-spoke networks
- Acute cardiac, vascular, pulmonary and trauma service lines running time-critical care pathways
- Life-sciences partners co-developing disease-specific detection programs with provider networks
Ideal size: Multi-site hospital system people · Mature acute-care organisation with 24/7 on-call specialty coverage
Not for
- Ambulatory clinics without CT, EKG or echo imaging and no acute admission pathway
- Behavioural health, dental and primary-care-only practices
- Buyers seeking an EHR, billing or practice-management system of record
- Teams wanting self-serve signup and published per-seat pricing
Value metrics scorecard
Time-to-Value
2-4 months (enterprise rollout)
~90 days to first production value
Total Cost of Ownership
On request
Custom enterprise/contract pricing per health system; no public list price, quotes via sales
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; enterprise site agreements across hospitals and service lines
Add-on costs
- None
Company & support
Who is behind Viz.ai, and how your team gets help once it is live.
Company
- Founded
- 2016 · 10 yrs in business
- Headquarters
- Not recorded
How you get support
- PhoneAll plans
- EmailAll plans
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- 24/7
- Response time
- Not stated
Support page: urgent phone support +1 833-VIZ-TEAM, 24/7/365 (USA), plus [email protected] and a help centre. Homepage cites dedicated 24/7 on-call clinical specialists, implementation experts and a customer success team.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Viz.ai sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- Viz.ai
- NextGen Healthcare
- Aidoc
- Sully.ai
- Netsmart
- Auditoria.AI
Add or change companies
Up to 10 companies including Viz.ai. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Viz.ai ships in AI, and what it asks of your ecosystem.
AI features shipped
Homepage describes 50+ FDA-cleared algorithms that analyse CT, EKG and echo data to auto-detect suspected disease and deliver real-time assessments; Viz Assist is positioned as a workflow assistant. No vendor page names the underlying models, states whether customer data trains models, or documents AI usage logging.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Viz.ai is an AI-powered care coordination platform for health systems. It runs 50+ FDA-cleared algorithms that analyse CT, EKG and echo data to auto-detect suspected stroke, cardiac, vascular, pulmonary and trauma conditions, then alerts care teams on mobile or desktop to speed treatment. It is sold as an enterprise contract to hospitals and health systems, with suites by therapeutic area plus life-sciences partnerships. Security posture is strong: SOC 2 Type II, HIPAA, ISO 27001, ISO 42001 and GDPR. Pricing is not published.
Frequently asked questions
What does Viz.ai cost, and is there a published price list?
No pricing is published on the vendor site: there is no list price, plan tier or seat rate. Contracts are quoted through sales for health systems and enterprise partners, so budget for enterprise contracting plus any add-on therapeutic suites. For security review, the Trust Center (powered by Drata) is where SOC 2 Type II reports and ISO certificates are requested.
How long does implementation take before we see clinical value?
Viz.ai does not publish a go-live timeline. Deployment is enterprise-scale across hospital systems, with dedicated implementation experts and 24/7 on-call clinical specialists named on the homepage, so assume a multi-month clinical validation and integration cycle rather than a self-serve setup. Ask the implementation team for a reference timeline for your PACS and EHR landscape.
Is Viz.ai secure and compliant enough to handle PHI?
The Trust Center states Viz.ai maintains SOC 2 Type II, HIPAA, ISO 27001, ISO 27701, ISO 27799, ISO 27017/27018, ISO 22301, ISO 27035 and ISO 42001 programmes, plus GDPR compliance including EU-U.S. Data Privacy Framework participation. Data is encrypted in transit and at rest, and customers can request audit reports, penetration test summaries and policies through the Drata-based Trust Center.
Which systems does it integrate with, and what deployment model is used?
The site does not publish a formal integration catalogue. Viz.ai is described as cloud-hosted on infrastructure built with Amazon/AWS tooling, and it ingests imaging, EKG and echocardiogram data flows to run its algorithms, then pushes alerts to mobile and desktop. Confirm PACS, EHR and imaging interface scope with the implementation team during scoping.
Does Viz.ai train AI models on our patient data?
The privacy policy says customer data, including PHI, is sent to Viz.ai for processing by its algorithms, is governed by the HIPAA Business Associate Agreement rather than the privacy policy, and that sub-processors are listed in the Trust Center. No vendor page states whether customer data is used to train or improve models, so get that in writing during contracting.