List of Sunoh AI Customers
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Since 2010, our global team of researchers has been studying Sunoh AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Sunoh AI for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Sunoh AI for Natural Language Processing include: Healing Hands Ministries (HHM) Health, a United States based Healthcare organisation with 6000 employees and revenues of $1.60 billion, Central Virginia Health Services (CVHS), a United States based Healthcare organisation with 500 employees and revenues of $65.0 million, Indiana University Student Health Center, a United States based Healthcare organisation with 250 employees and revenues of $25.0 million, Hyndman Area Health Center, a United States based Healthcare organisation with 200 employees and revenues of $20.0 million, Sun Life Health, a United States based Healthcare organisation with 250 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Sunoh AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Sunoh AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Beaumont Internal Medicine and Geriatric Associates | Healthcare | 90 | $9M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
In 2024 Beaumont Internal Medicine and Geriatric Associates implemented Sunoh AI, a Natural Language Processing application, to automate conversion of patient conversations into structured clinical documentation. The deployment targeted ambulatory clinical workflows across the practice areas of primary care, sleep medicine, geriatric medicine, and aesthetics, aligning the application with routine patient encounters and provider documentation responsibilities.
Sunoh AI was configured to perform ambient listening and real time transcription, converting patient provider dialogue into multimodal clinical notes and traditional SOAP content. The implementation emphasized automated placement of content into the appropriate sections of the electronic record, supporting documentation capture, clinical note assembly, and encounter summarization as core functional capabilities of the Natural Language Processing application.
Integration was executed with the eClinicalWorks EHR through the eClinicalTouch 4 app, enabling Sunoh AI to add generated documentation directly into the eClinicalWorks workflow on any device. The integration model reflects an EHR agnostic design intent while specifically instrumenting data flow into eClinicalWorks, preserving the practice s existing clinical record structure and charting locations.
Operationally the rollout changed point of care documentation practices by shifting transcription tasks into an AI assisted capture process, allowing providers to complete notes on the same day of service rather than delaying documentation. Governance centered on embedding the AI scribed notes into established clinical workflows and verifying placement of content within eClinicalWorks chart sections to maintain clinical and documentation consistency.
Reported outcomes from the implementation include significant time savings for providers, with onsite clinicians noting up to an hour saved in daily documentation, reduced administrative burden, and improved encounter focus and documentation quality. Sunoh AI enabled Beaumont providers to concentrate more on clinical decision making during visits while the Natural Language Processing application handled persistent documentation tasks.
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Bella Medical | Healthcare | 10 | $1M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
In 2024, Bella Medical selected Sunoh AI in a Natural Language Processing deployment to capture provider and patient conversations and reduce clinical documentation burden. Bella Medical is a Texas based women’s health clinic within the Southwestern Health Resources provider network and will use Sunoh AI to support point of care documentation and patient encounter workflows.
Sunoh AI is deployed as a medical AI scribe offering ambient listening transcription and AI dictation services, using Natural Language Processing to generate structured encounter summaries. Implemented capabilities include real time transcription of clinical dialogue, automated categorization of encounter summaries into progress note sections, and extraction of lab, imaging, procedure, medication order, and follow up visit details, with controls to review, modify, and import content into the clinical record.
The deployment integrates with eClinicalWorks through the announced integration with eClinicalMobile and eClinicalTouch on iOS and Android, enabling scribed and categorized content to flow into the EHR progress notes and charting workflows. The implementation is described as EHR agnostic while specifically operating in concert with eClinicalWorks mobile clients to streamline documentation within the practice’s ambulatory software.
Operational governance centers on provider review and modification of AI generated content prior to import, embedding the Sunoh AI scribe into patient encounter workflows to shift clerical tasks away from clinicians. Explicitly stated outcomes include saving physicians time on clinical documentation, enhancing the quality of patient care, and improving practice efficiency as part of Bella Medical’s adoption of Sunoh AI.
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Canyonville Health & Urgent Care | Healthcare | 30 | $3M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
In 2024, Canyonville Health & Urgent Care implemented Sunoh AI as a Natural Language Processing solution integrated with its ambulatory EHR environment. The deployment focused on embedding the Sunoh AI medical scribe into clinician workflows, delivering documentation directly through eClinicalWorks and onto eClinicalTouch apps used on iPad devices.
The Sunoh AI medical scribe transcribes natural conversations between providers and patients and categorizes summarized content into discrete progress note sections, capturing labs, orders, imaging results, procedures, prescribed medications, and future appointments. Clinicians follow a review, edit, and approve workflow for autogenerated transcription summaries, and the system supports import of validated content into patient charts to accelerate documentation.
Integration work centered on the eClinicalWorks EHR and the eClinicalTouch application, creating a direct documentation flow from Sunoh AI into patient records in the ambulatory cloud EHR. Operational coverage included the clinic primary care and walk-in urgent care functions in Canyonville, Oregon, and the implementation supported an expansion of clinical services into chronic care management.
Governance and workflow restructuring established a scribe less in office experience, shifting medical assistants to front office responsibilities while providers interact with patients via the eClinicalTouch app and finalize AI drafted notes. The practice reported that the automation freed physician time and optimized staff allocation, enabling the extension of chronic care management services and better utilization of clinical resources.
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Central Virginia Health Services (CVHS) | Healthcare | 500 | $65M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
In 2024, Central Virginia Health Services (CVHS) deployed Sunoh AI, a Natural Language Processing application, to automate clinical documentation workflows across its 126-provider ambulatory network. The implementation centers on Sunoh AI as an AI medical scribe to complete notes by the end of each day, positioning Central Virginia Health Services Sunoh AI Natural Language Processing clinical documentation as the primary tool for closing charts in the ambulatory setting.
The deployment implements Sunoh AI capabilities for ambient listening and automated note generation, producing multimodal notes and traditional SOAP notes, and rapidly generating concise History of Present Illness content. Functional workflows include pre-visit note preparation, in-visit capture of clinician-patient conversations, and post-visit note finalization, with the AI recognizing and applying clinical terminology to elevate documentation quality.
Sunoh AI integrates directly with the eClinicalWorks EHR environment through the eClinicalTouch 4 app on any device, embedding into provider workflows with a single-click activation and requiring no additional hardware. The technical approach is EHR-agnostic by design, but in this deployment the integration conduit is eClinicalWorks, enabling generated notes to populate the ambulatory EHR and align with existing charting and billing flows.
Operational coverage includes medical, dental, behavioral health, and other clinical service lines where providers document encounters, and the rollout emphasized rapid user adoption with minimal training. Governance and process changes focused on shifting end-of-day documentation tasks back into the clinic, standardizing HPI and note structure, and replacing a prior AI scribe that failed to meet clinical needs.
Reported outcomes from the implementation include consistent end-of-day completion of documentation, measurable time savings for providers, the ability for clinicians to see an average of 3-5 additional patients per day as reported by providers, and reductions in after-hours documentation and physician burnout. The Sunoh AI integration with eClinicalWorks enabled the health center to streamline clinical workflows and improve documentation quality without introducing new devices or extensive retraining.
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Coastal Spine and Pain Institute | Healthcare | 15 | $1M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
In 2024, Coastal Spine and Pain Institute implemented Sunoh AI, a Natural Language Processing application, to serve as an AI-powered medical scribe integrated with its ambulatory EHR. The Texas based pain management clinic selected Sunoh AI for its ability to capture natural patient provider conversations and convert them into structured clinical documentation, aligning the application with the practice goal of simplifying documentation and improving throughput for clinical visits.
The deployment emphasizes real time transcription and multimodal note generation, enabling Sunoh AI to interpret conversational audio and generate detailed, varied notes for each patient. Sunoh AI was configured to produce structured clinical notes that reduce or eliminate post visit dictation, embedding AI driven scribe functionality directly into the clinical documentation workflow used by providers and clinical staff.
Sunoh AI integrates directly with the eClinicalWorks EHR and is accessible on any device for a seamless user experience, preserving the practice s existing EHR access model while adding Natural Language Processing capabilities. Operational coverage centers on providers and front office staff at the Coastal Spine and Pain Institute clinical site, with clinicians such as Dr. Allen using the tool during patient encounters and billing staff observing downstream documentation effects.
Governance and rollout followed a staged user adaptation approach, with providers and staff gradually adopting the technology and clinical workflows adjusted to rely on real time capture rather than after visit dictation. The practice reported explicit operational outcomes, including faster patient throughput, shorter documentation time per visit, reduced time in office for patients from check in to check out, and vendor stated savings of over two hours daily per physician, supporting reduced documentation burden and lower physician fatigue.
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Healthcare | 50 | $5M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
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Healthcare | 60 | $12M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2025 | n/a |
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Healthcare | 6000 | $1.6B | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
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Healthcare | 90 | $9M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2025 | n/a |
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Healthcare | 200 | $20M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
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Buyer Intent: Companies Evaluating Sunoh AI
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Sunoh AI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Sunoh AI for Natural Language Processing include:
- ScribeAmerica, a United States based Professional Services organization with 25000 Employees
- Eastern Shore Rural Health System, a United States based Healthcare company with 100 Employees
- IDS Infotech, a India based Professional Services organization with 1200 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Sunoh AI Coverage
Sunoh AI is a Natural Language Processing solution from Sunoh AI.
Companies worldwide use Sunoh AI, from small firms to large enterprises across 21+ industries.
Organizations such as Healing Hands Ministries (HHM) Health, Central Virginia Health Services (CVHS), Indiana University Student Health Center, Hyndman Area Health Center and Sun Life Health are recorded users of
Sunoh AI for Natural Language Processing.
Companies using Sunoh AI are most concentrated in Healthcare, with adoption spanning over 21 industries.
Companies using Sunoh AI are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Sunoh AI across Americas, EMEA, and APAC.
Companies using Sunoh AI range from small businesses with 0-100 employees - 79.31%, to mid-sized firms with 101-1,000 employees - 17.24%, large organizations with 1,001-10,000 employees - 3.45%, and global enterprises with 10,000+ employees - 0%.
Customers of Sunoh AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Sunoh AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.