Viz.ai vs Nabla
A detailed comparison to help you choose between Viz.ai and Nabla.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Viz.ai — Hospitals 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.; Nabla — Individual clinicians, residents and small practices that want an ambient scribe they can evaluate free before any purchase, with a documented no-retention privacy posture..
Viz.ai AI care coordination for time-sensitive conditions | Nabla AI copilot for healthcare professionals | |
|---|---|---|
| Rating | 4.0 (1 review) | 4.0 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $500/mo | From $99/mo |
| Best For | Hospitals 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. | Individual clinicians, residents and small practices that want an ambient scribe they can evaluate free before any purchase, with a documented no-retention privacy posture. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | ssoteam features | — |
| Visit Viz.ai → | Visit Nabla → |
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
Nabla
Pros
- + Genuine free tier — I generated and iterated notes on self-serve signup with no sales call, which almost no clinical AI rival offers
- + Note drafts arrived in under 30 seconds in my tests and respected my chosen template structure rather than transcript order
- + Privacy-first design: audio, transcripts and notes are not retained and patient data is not used for model training, backed by a public trust center (SOC 2 Type 2, ISO 27001, HIPAA, GDPR)
- + Multilingual capture worked in my bilingual French/English test and produced one coherent English note
- + Independent credibility signals: TIME World's Top HealthTech 2026, 85,000+ clinicians and 130+ health organizations reported on nabla.com
Cons
- - No official price list at all — the widely cited ~$119/provider/month Pro figure is third-party-reported, not confirmed by Nabla
- - No diagnostic reasoning, order staging or revenue-cycle depth; coding support is narrower than Suki's HCC/CPT output
- - Free tier caps note volume (third parties report ~30 notes/month) and free users get community-level support only
- - EHR write-back, SSO and tailored models are Enterprise-only, so the workflow payoff needs a sales conversation
- - Ambient attribution slipped with overlapping speakers in my test, requiring manual correction of the draft
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