Sunoh.ai

Sunoh.ai

4.1 (35 reviews)

Health & Wellness , Documentation , AI Assistant

A specialized ambient medical scribe that excels within the eClinicalWorks ecosystem but faces stiff competition from more flexible, EHR-agnostic startups.

Excellent for practices already using eClinicalWorks or Healow, weaker for clinicians requiring deep customization or non-integrated workflows.

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

Sunoh.ai website preview

Who Should Use Sunoh.ai?

Typical users

Small to mid-sized medical practices and individual practitioners, particularly those within the eClinicalWorks (eCW) network.

Maturity fit

scaling

Choose this if…

  • You already use eClinicalWorks or Healow as your primary EHR
  • Your priority is reducing manual data entry for SOAP notes
  • You want a scribe that handles multi-party conversations (doctor, patient, caregiver)

Skip this if…

  • You require a standalone tool that doesn't mandate a specific EHR ecosystem
  • You need highly granular control over the AI's prose style and formatting
  • You are a solo practitioner on a very tight budget looking for a 'pay-as-you-go' model

About Sunoh.ai

Sunoh.ai is an ambient listening AI designed to convert natural patient-clinician conversations into structured medical documentation. It aims to eliminate the 'pajama time' clinicians spend charting after hours by automating the draft process for SOAP notes.

What it actually does

The tool listens to clinical encounters via a mobile app or desktop interface and uses natural language processing to extract relevant medical data. It then populates specific sections of a clinical note, including history of present illness, physical exams, and assessment plans.

What makes it different

Its primary differentiator is the deep, native integration with eClinicalWorks and Healow. Unlike 'wrapper' tools that require copy-pasting, Sunoh.ai can push data directly into discrete fields within the EHR, making it a more seamless part of the existing clinical workflow for those specific users.

Ambient conversation capture Automated SOAP note generation Multi-speaker identification Direct EHR data population ICD-10 and CPT code suggestion Lab and imaging order extraction Mobile and desktop compatibility

Ratings across the web

4.1 (35 reviews)
Capterra 35 reviews
Open on Capterra
4.1/5

Ratings aggregated from independent review platforms.

Key Features

Discrete Data Mapping

Automatically populates specific EHR fields rather than just generating a block of text.

Multi-Party Recognition

Distinguishes between the physician, patient, and family members during the encounter.

Order Extraction

Identifies mentioned lab tests or referrals and prepares them for review.

Healow Integration

Leverages the Healow app ecosystem for patient-side engagement and data flow.

Summary Review Interface

Allows clinicians to edit and approve AI-generated drafts before they hit the permanent record.

HIPAA Compliance

Built with standard healthcare security protocols and data encryption.

Pricing

Popular

Standard Subscription

Contact Sales monthly
  • Unlimited ambient scribing
  • SOAP note generation
  • EHR integration
  • Mobile app access

Pricing checked 5 months ago

Pricing guidance

Best plan for most users: The standard subscription is the only primary path, typically quoted around $1.25 to $2.00 per encounter or a flat monthly fee near $200-$500 depending on practice size.
Free plan enough? No — there is no permanent free tier; it is a commercial-grade tool for professional medical use.
Upgrade when:
  • Moving from a trial to full practice implementation
  • Adding additional providers to the group
  • Enabling advanced EHR integration features
Watch out for:
  • Integration fees may apply depending on your EHR vendor
  • Implementation and training costs are often separate from the monthly subscription

Mid-market pricing that is competitive with Suki and DeepScribe, but potentially more expensive than 'lite' AI scribes like Freed.

Pros & Cons

Strengths

  • Deep eClinicalWorks integration

    For eCW users, it reduces the friction of moving data from the AI to the chart, which is the biggest bottleneck in medical scribing.

  • Handles complex dialogue

    It is effective at filtering out 'small talk' and focusing on the clinical facts even when multiple people are speaking in the room.

  • Reduced charting time

    Users report saving 1-2 hours per day on documentation, allowing for higher patient volume or better work-life balance.

Weaknesses

  • Ecosystem lock-in

    While it works with other EHRs, the experience is significantly more optimized for eCW, making it less attractive for users of Epic or Athenahealth.

    Affects: Clinicians using non-eCW platforms

  • Rigid note structure

    The AI has a specific way of formatting notes that may not align with every doctor's personal shorthand or preferred style.

    Affects: Specialists with highly unique documentation requirements

  • Accuracy verification required

    Like all LLM-based tools, it can occasionally hallucinate or misinterpret clinical nuances, requiring a mandatory manual review of every note.

    Affects: High-volume practitioners who may be tempted to skip the review step

Real User Sentiment

Generally positive among users who value the time saved, though there is a learning curve regarding how to speak so the AI captures data accurately.

Users tend to like

  • The ability to stop typing during patient visits
  • Accuracy in capturing medication names and dosages
  • Seamless flow into eClinicalWorks

Users commonly complain about

  • Occasional lag in note generation
  • Difficulty capturing very quiet speakers
  • Initial setup and integration hurdles

Recurring tradeoffs

  • Users trade total control over note formatting for the speed of automated generation.

Happiest users

Primary care physicians in the eClinicalWorks ecosystem who see 20+ patients a day.

Often frustrated

Clinicians who want a highly customized note style or those using EHRs where the integration is less mature.

Use Cases

Primary Care

Capturing long, narrative history-taking sessions and turning them into structured SOAP notes.

Specialist Consultations

Summarizing complex patient histories and multi-system reviews.

Pediatrics

Managing encounters where multiple family members are providing information simultaneously.

Telehealth

Integrating with virtual visit platforms to document remote encounters in real-time.

Urgent Care

Speeding up documentation in high-throughput environments to reduce patient wait times.

Frequently Asked Questions

How much does Sunoh.ai cost?

Sunoh.ai typically uses a subscription model. While they don't publish a single price list, industry reports and user quotes suggest a range of $200 to $500 per provider per month, or a per-encounter fee around $1.25. You must contact their sales team for a quote tailored to your practice size and EHR.

Does Sunoh.ai work with Epic or Cerner?

Yes, Sunoh.ai is designed to be EHR-agnostic and can work with major systems like Epic, Cerner, and Athenahealth. However, its most 'seamless' and feature-rich integration is currently with eClinicalWorks and Healow.

Is Sunoh.ai HIPAA compliant?

Yes, Sunoh.ai is HIPAA compliant. It uses encryption for data at rest and in transit, and they sign Business Associate Agreements (BAAs) with healthcare providers to ensure regulatory standards are met.

How does Sunoh.ai compare to Freed.ai?

Freed.ai is often seen as a simpler, more affordable 'entry-level' scribe that works well as a standalone tool. Sunoh.ai is more of an enterprise-grade solution with deeper EHR integration capabilities, particularly for larger practices using eClinicalWorks.

Can patients opt-out of being recorded?

Absolutely. Clinicians must obtain patient consent before using ambient listening. If a patient declines, the clinician simply does not activate the app for that session.

Does it work for all medical specialties?

It is most effective for specialties that rely on conversational history, like Internal Medicine or Family Practice. Highly visual specialties (like Dermatology) or procedure-heavy ones may still require manual input for the physical exam or procedural details.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

1999

Stage

Bootstrapped

Total Raised

Bootstrapped

Latest Round

—

Sunoh.ai is a product of eClinicalWorks, a large, privately-held health IT company founded in 1999. eClinicalWorks is entirely founder-funded and has never taken external investment, making it a bootstrapped and consistently profitable enterprise with reported revenues of $900 million in 2023. This financial independence suggests significant stability and a long-term product development horizon for Sunoh.ai.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits
12,551
Global rank
#2,025,904
Snapshot
Apr 2026
Traffic trend
Falling
Full market signals & traffic

Estimated monthly visits

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