Suki AI
Ambient AI notes, dictation and coding inside the four leading US EHRs
Overview
Suki AI is a Redwood City company whose ambient assistant turns a patient visit into a structured note, staged orders, patient instructions and billing codes inside Epic, Oracle Health, athenahealth and MEDITECH. Since August 2026 it also sells standalone dictation, and partners can embed it through SDKs and APIs. It raised a $90 million Series E in October 2026.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete.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, specialty-specific clinical note drafted from the recorded visit and sent to the EHR
- ICD-10, HCC, CPT and E/M code suggestions generated from the encounter
- Orders staged in the EHR from the conversation, awaiting clinician approval
- Patient instructions in 80 languages at a fifth-grade reading level
- Verbatim AI dictation inside Epic or MEDITECH, bought with or without ambient notes
- Answers to clinical questions from UpToDate and the patient chart through Ask
- Ambient notes embedded in a partner product through Suki's SDKs and APIs
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 is one of the most deeply embedded ambient scribes in US healthcare: notes, orders, coding and patient instructions land inside Epic, Oracle Health, athenahealth and MEDITECH, and since August 2026 dictation can be bought without the ambient product. A $90 million Series E in October 2026 and partners such as Zoom and WellSky suggest it will be around.
The caveats are buying friction and evidence. There are no published prices or self-serve plans, and most outcome figures are Suki's own or behind KLAS's login. Clinicians still need to proofread. Best for US health systems; smaller and non-US practices should look at self-serve scribes first.
What we found
Suki is an ambient clinical documentation company in Redwood City, California, led by founder and chief executive Punit Soni. It came out of stealth in May 2018 as a voice assistant for doctors, renamed from Robin AI because, TechCrunch reported, "Suki" made a better wake word. Today it listens to a visit and drafts a specialty-specific note, patient instructions in 80 languages, staged orders and ICD-10, HCC, CPT and E/M codes, working inside Epic, Oracle Health, athenahealth and MEDITECH.
The last two months changed its shape. In August 2026 Suki began selling dictation on its own, built into Epic and MEDITECH, so a health system no longer has to buy ambient documentation to get it. In September it launched Science at Suki, a research collaborative with the Regenstrief Institute, MedStar Health's human-factors centre and Rush. On 8 October it added Ask, which answers clinical questions from Wolters Kluwer's UpToDate for clinicians who hold UpToDate access. On 13 October it announced $90 million of Series E financing from new investors Healthier Capital, Crosslink Capital and Hercules Capital, with Venrock, Hedosophia and Zoom Ventures among those returning. Its previous round, a $70 million Series D in October 2024, had taken total funding to $165 million.
Most outcome evidence comes from Suki. It says it serves more than 450 healthcare organisations and 30 technology partners, and cites more than $2,600 a month in financial impact per provider from KLAS validations; the January 2026 KLAS report on FMOL Health, McLeod Health and Rush sits behind a login. A 2024 KLAS spotlight of 15 customers scored Suki 93.2. On Apple's App Store the Suki app held 4.1 out of 5 from 66 ratings, read 14 October 2026, and one oncologist's review there said it missed drug names and confused doctor and patient speech.
Suki publishes no prices and sells through its sales team, with SDKs and APIs offered to partners on request. It is built for US health systems; buyers elsewhere should ask about availability first.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
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.
For the latest details, please refer to Suki AI directly →
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