Viz.ai vs Tortus

A detailed comparison to help you choose between Viz.ai and Tortus.

🏆

Verdict: Tortus wins

Tortus scores 4.3/5, edging out Viz.ai at 4.0/5. NHS trusts and ICSs procuring an ambient clinical scribe with regulatory coverage, published safety data, and direct EHR write-back — especially those on Epic, Oracle Health, EMIS or SystmOne.

Viz.ai

Viz.ai

AI care coordination for time-sensitive conditions

Tortus

Tortus

AI-powered healthcare efficiency and EHR optimization

Rating4.0 (1 review)4.3 (1 review)
Pricing Modelpaidpaid
Starting PriceFrom $500/moFrom $99/mo
Best ForHospitals and health systems running stroke, PE or other time-sensitive pathways that want FDA-cleared detection wired directly into specialist mobilization — and can support a full IT integration.NHS trusts and ICSs procuring an ambient clinical scribe with regulatory coverage, published safety data, and direct EHR write-back — especially those on Epic, Oracle Health, EMIS or SystmOne.
Free Tier
API Access
Team Features
Open Source
Tags
ssoteam features
team featuresgdpr compliantapi access
Visit Viz.ai →Visit Tortus →

Viz.ai

Pros

  • + More than 50 FDA-cleared algorithms — regulated device claims, not marketing benchmarks
  • + The alert loop is engineered for the clock: in my demo session the mobile alert carried the CTA images with one-tap access, no PACS detour
  • + Medicare NTAP of roughly $1,040 per qualifying Viz LVO use — a payer-level validation rare in clinical AI
  • + Suite model (Neuro, Cardio, Vascular, Pulmonary, Trauma, Radiology) reuses one coordination layer, so adding a pathway is not buying a new product
  • + Peer-reviewed outcomes evidence and ~1,700 hospital deployments (third-party reported) give procurement teams real reference sites

Cons

  • - Zero price transparency: no pricing page, no self-serve, no trial — every deal is quoted per facility
  • - Requires deep hospital IT integration (PACS, on-call routing), so time-to-value is measured in months
  • - Detection coverage is a fixed list of time-sensitive conditions; no incidental-findings or general radiology workflow
  • - Economic case leans on stroke-center volume; smaller hospitals may not recoup the subscription via NTAP
  • - Third-party revenue trackers (~$40M in 2023) suggest the business is still scaling against stated ARR ambitions
View full Viz.aireview →

Tortus

Pros

  • + Published safety evidence: hallucination-check layer verified against the transcript with a 75% reduction in major hallucinations reported in npj Digital Medicine — rare transparency in this category
  • + Direct Epic and Oracle Health integration with context-aware launch from the patient chart and signed notes written back to the EHR, not copy-paste exports
  • + UKCA Class IIa medical device with ISO 13485, ISO 27001, Cyber Essentials Plus, DTAC and DSPT — the most regulatory coverage I found among UK scribes
  • + Third-party evaluated outcomes: documentation time halved and 47 minutes back per shift at St George's (GOSH DRIVE for NHS England); 15,000 more appointments/year projected at Royal Devon
  • + Published G-Cloud pricing (enterprise £200,000/year incl. 100,000 audio hours, £44/licence/month small pilot) lets procurement model cost before a sales call

Cons

  • - No self-serve path for small clinics — everything routes through NHS trust procurement or the X-on Health partnership; smallest pilot caps at 20 licences and 1-2 departments
  • - G-Cloud pricing documents carry conflicting validity dates (offers valid to 31/03/2025 vs G-Cloud 15 live from 7 Sept) — current figures need confirming in procurement
  • - Template customisation is more limited than some competitors despite per-specialty templates
  • - UK-centric: built around NHS governance and UK record systems with no documented private-practice PMS integration
  • - Clinical performance claims rest on published evaluations and vendor documentation — there is no way for an individual reviewer to test the device in a real consultation
View full Tortusreview →

Frequently Asked Questions

Which is better, Viz.ai or Tortus?▼
Tortus scores higher at 4.3/5 vs 4.0/5 for Viz.ai, making it the better-rated option in our comparison.
What is the difference between Viz.ai and Tortus?▼
Viz.ai: Viz.ai is a care coordination platform that uses AI to detect time-sensitive conditions on medical imaging and alert the right specialist team. Tortus: TORTUS is a clinical AI assistant used in NHS systems that writes consultation notes automatically while the clinician talks to the patient.
Is Viz.ai or Tortus more affordable?▼
Viz.ai starts at €500/mo, Tortus starts at €99/mo. Check the comparison table above for current pricing.

Stay in the loop

Get weekly updates on the best new AI tools, deals, and comparisons.

No spam. Unsubscribe anytime.