Suki AI
AI voice assistant that writes clinical notes from doctor-patient conversations — so clinicians spend less time on EHRs and more time on patients.
Overview
Suki AI is an ambient clinical intelligence platform built for healthcare providers. Its flagship product, Suki Assistant, listens to clinician-patient conversations and automatically generates structured clinical notes — no manual dictation required. Deeply embedded into major EHR systems including Epic, Oracle Health, athenahealth, and MEDITECH Expanse, Suki eliminates the documentation burden that drives physician burnout. It also supports voice-enabled editing, ICD-10 and HCC coding assistance, chart Q&A, patient summaries, and ambient order staging across 100+ medical specialties.
Beyond its end-user product, Suki offers a developer-facing Suki Platform with REST APIs and SDKs that allow EHR vendors, telehealth platforms, and care management software to embed ambient AI directly into their own workflows. Partners such as Zoom, AvaSure, WellSky, and athenahealth have integrated the platform. As of 2025, Suki is deployed across 350+ health systems, with usage tripling year-on-year — cementing its position as one of the most widely adopted ambient AI scribes in US healthcare.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 16 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
What you can produce with Suki AI
- A structured clinical note (SOAP or problem-based format) auto-generated from the recorded patient encounter, ready for review and EHR submission
- ICD-10 and HCC billing code recommendations surfaced from the visit transcript, reducing coding errors and missed revenue
- Ambient prescription order drafts pre-filled from spoken clinical discussion, awaiting clinician sign-off inside the EHR
- Patient summary pulled from chart history via conversational voice query during or between visits
- Integrated API response delivering transcribed and structured clinical notes into a partner application via Suki Platform REST endpoints
- A clinician time-savings report showing reduction in post-visit documentation minutes per encounter across the health system
- Embedded ambient AI experience within a third-party EHR or telehealth app built using Suki's Web SDK
ASEAN Perspective
Suki AI in Southeast Asia
Suki AI is currently US-centric with no publicly announced APAC or ASEAN rollout as of mid-2026. The platform supports transcription in 80+ languages — which would technically cover Bahasa Melayu, Bahasa Indonesia, Thai, and Vietnamese — but clinical NLP accuracy and specialty terminology for Southeast Asian healthcare contexts has not been validated or marketed. Data residency is a significant open question for ASEAN operators: Suki is HIPAA-compliant and SOC 2 Type II certified to US standards, but has made no public commitments around PDPA (Singapore), PDPA (Thailand), or Indonesia's PDP Law. Regional clinicians seeking an ambient AI scribe should consider purpose-built APAC alternatives such as Heidi Health (Australian-founded, with stated APAC availability) until Suki clarifies its international data-handling posture.
Suki AI is among the most capable ambient clinical documentation tools available, with genuinely deep EHR integrations — particularly its Epic "INSIDE" embedding and first-mover status on MEDITECH Expanse's documentation APIs. The KLAS 2024 Spotlight score of 93.2/100 and a 95% repurchase rate from existing customers reflect strong satisfaction at enterprise health systems. For US-based organisations already on Epic, Oracle Health, or athenahealth, it is a credible choice for reducing clinician documentation burden.
The significant caveats: Suki is expensive at $299–$399 per clinician per month — two to five times pricier than newer competitors like Freed AI or Heidi Health. The enterprise-only sales model means no self-serve trial, long procurement cycles, and heavy IT-lift for smaller clinics. The API and SDK are gated via a partner request process, not open self-service access. There is also no stated availability outside the United States, making it unsuitable for organisations in ASEAN or broader APAC without negotiating a bespoke arrangement.
What people say
Suki AI earns high marks from enterprise health systems: a KLAS Spotlight 2024 score of 93.2/100 with 95% of respondents saying they would repurchase places it at the top tier of clinical AI scribes. Its App Store rating is 4.2/5 (63 reviews), while Capterra data is too sparse (1 review) to draw conclusions. Clinicians consistently praise the depth of Epic and MEDITECH integration and the ambient order staging feature. The main criticisms are cost (at $299–$399/clinician/month, it is among the most expensive options), opaque enterprise-only pricing, and a learning curve for voice commands. Smaller practices frequently find the procurement process prohibitively slow.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- Suki's founder Punit Soni previously served as Chief Product Officer at Flipkart — India's largest e-commerce platform — before pivoting to healthcare AI.
- Zoom Ventures, the investment arm of Zoom Communications, made a strategic investment in Suki in January 2025, enabling Suki to embed ambient notes directly into Zoom-based telehealth visits.
- Suki was the first ambient AI solution to fully integrate with MEDITECH Expanse's Documentation APIs, announced in July 2025.
- In 2024, Suki's health system footprint quadrupled in 12 months — and usage tripled again through 2025.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Suki AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Suki AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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