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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Healthcare | 500 | $65M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
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Healthcare | 15 | $1M | United States | Sunoh AI | Sunoh AI | Natural Language Processing | 2024 | n/a |
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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
- 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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