Head-to-Head
Nabla vs Suki AI (2026)
Nabla
Paid★ 4.7
Suki AI
Paid★ 4.6
Nabla uses ambient AI to passively listen to physician-patient conversations and generate structured clinical notes automatically, requiring no active input from the clinician. Suki AI is a voice-activated assistant where physicians dictate notes and issue voice commands to navigate the EHR. Nabla wins for completely hands-free ambient documentation; Suki AI wins for physicians who prefer explicit voice control and direct dictation over passive capture.
Feature Comparison
AI Note Generation Quality
Nabla generates comprehensive SOAP notes from ambient conversation with high accuracy. Suki generates accurate dictated notes but relies on explicit physician input rather than passive capture.
Hands-Free Documentation
Nabla is fully ambient - the physician does nothing beyond having a conversation. Suki requires active dictation and voice commands throughout the encounter.
EHR Integration Depth
Suki integrates with Epic, Cerner, and eClinicalWorks with deep voice navigation capabilities. Nabla integrates with major EHRs but with less deep voice command control.
Physician Control
Suki gives physicians explicit control over note content and structure via voice. Nabla generates notes automatically - physicians review and edit rather than dictate.
Mobile Experience
Both tools have mobile apps suitable for rounding and on-call workflows. Comparable mobile experience.
Adoption Ease
Nabla requires minimal training since the physician just talks naturally. Suki has a learning curve for voice command syntax and workflow integration.
Pricing
Both are enterprise-priced tools requiring health system contracts. Individual physician plans available on both but pricing is not publicly listed.
Verdict
This comparison is context-dependent. Nabla scores 27/35 and Suki AI scores 26/35. Choose based on your specific workflow needs.
Bottom Line
Nabla Copilot and Suki AI are competing for the ambient AI medical scribe seat - they listen to a clinical encounter and produce structured SOAP notes that drop into the EHR. Nabla has the broader European footprint and stronger primary-care fit; Suki has the deeper US enterprise hospital deployments and the most polished EHR integrations (especially Epic). Both produce note quality that physicians find acceptable in 2026. The choice often comes down to existing EHR contracts, hospital procurement, and which vendor has a pre-existing relationship with your health system.
Pick Nabla
You are a primary-care practice, urgent-care chain, or specialty group in Europe or North America that wants a medical scribe with strong out-of-the-box accuracy and a friendly per-clinician pricing model. Nabla ($99-$199/clinician/mo) shines in primary care, family medicine, and ambulatory specialties. Best for practices that buy SaaS directly without a long enterprise procurement cycle.
Pick Suki AI
You are a US hospital or health system with deep Epic, Cerner, or Athenahealth integration requirements and a procurement process that favors enterprise vendors. Suki AI (enterprise pricing) has the most polished EHR integrations in 2026 and is the choice for IDNs (integrated delivery networks) and large multi-specialty groups. Best for hospitals and health systems doing volume deployments.
Frequently asked
How accurate are these compared to a human scribe?
Both produce structured notes that physicians find acceptable in 2026 - accuracy on standard SOAP elements is high (>90% in published evaluations). Edge cases (heavy accents, unusual specialties, complex multi-problem visits) still benefit from physician review. Neither replaces the physician's sign-off.
Which integrates with Epic better?
Suki AI has the deeper Epic integration historically, including Smart Phrase support and bidirectional data flow. Nabla has Epic integration too but it is less mature for large IDN deployments. For Epic-heavy hospitals, Suki has the edge.
How does pricing compare?
Nabla is per-clinician SaaS ($99-$199/mo per clinician, transparent). Suki is enterprise-priced and varies based on volume and IDN size. For a small practice, Nabla is dramatically faster to procure and cheaper per seat.
Do they handle multiple specialties?
Both cover primary care, internal medicine, family medicine, and most ambulatory specialties well. Procedure-heavy specialties (surgery, anesthesia) are weaker for both - the conversation pattern is different. Mental health and behavioral health are improving but still benefit from physician review.
Are they HIPAA compliant?
Yes, both sign BAAs and meet HIPAA requirements. Nabla also has GDPR posture for EU deployments. As with any clinical AI, the deployment configuration matters - verify the specific contract and data handling before clinical go-live.