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Sesame vs Nabla

SesameNabla

Bottom line: Sesame for people curious about the most natural-sounding voice AI available; Nabla for large health systems standardizing ambient documentation across Epic.

SesameSesame

Lifelike conversational voice AI companions and ambient intelligence, from the team behind viral voices Maya and Miles.

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NablaNabla

Ambient AI assistant that turns patient conversations into structured clinical notes

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Votes00
PricingFreeFreemium
CategoryAudioAudio
Tags
voice-aiconversational-aicompanion
medical-scribehealthcareclinical-documentation
Best for
  • People curious about the most natural-sounding voice AI available
  • Users who prefer voice-first, conversational interaction
  • Early adopters comfortable with preview-stage software
  • Large health systems standardizing ambient documentation across Epic
  • Physician practices seeking to cut charting time and burnout
  • Telehealth and virtual-care organizations
Pros
  • Exceptionally natural, human-like voices with breaths, pauses and emotion
  • Voices can be interrupted and respond in real time
  • Free to try via browser and mobile preview
  • Open-source CSM-1B model available for developers under Apache 2.0
  • Backed by an experienced team (Oculus co-founder Brendan Iribe) and major investors
  • Deep, native integration with Epic (Epic Toolbox, Haiku) and 20+ other EHRs
  • Strong compliance posture: HIPAA, SOC 2 Type II, ISO 27001, with BAA
  • Free tier lets individual clinicians and residents try it with no cost
  • 35+ language support for diverse patient populations
  • Documented outcomes: hours saved per week and reduced burnout in case studies
Cons
  • Still an early preview and research product, not a polished mainstream app
  • Access and features are limited and can change without notice
  • Primarily English-focused, with limited multilingual support
  • No public consumer pricing, API or broad third-party integrations yet
  • Eyewear and full product experience are not yet available (targeted 2027)
  • Paid and enterprise pricing is not published; buying is sales-led
  • Learning curve for clinicians adjusting to AI-drafted notes
  • Note generation is the core focus; broad admin workflows may need other tools
  • Individual-clinician customization is limited versus enterprise deployments
  • Reliance on device microphones and connectivity during encounters

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