NextGen Ambient Assist vs Sunoh.ai (2026)
Two record system native scribes aimed at the same ambulatory practice, and they disagree about how far a scribe should reach into the order. Sunoh pre fills labs, imaging, medications, referrals and follow up appointments from the conversation and claims to have been first to do it. NextGen deliberately stops short, placing the note in the chart pending provider review with codes, medications and orders offered as suggestions rather than populated. That is the most consequential difference between them, because a pre filled order is a clinical action waiting for a signature while a suggestion is a prompt. Sunoh is the more capable and the more commercially open, publishing 149 dollars per provider per month and a free trial. NextGen is the more careful. For most practices the decision is already made by which record system they run, and this comparison is only live for the small number choosing between the two platforms.
- It is more conservative where conservatism matters. Codes, medications and orders arrive as suggestions the clinician acts on, and the note is placed in the chart explicitly pending provider review, against a product that pre fills orders including medications, labs, imaging and referrals.
- The data handling statement is clearer. Conversations become temporary transcripts used only to generate the note, and documentation flows into the Enterprise record rather than persisting on the mobile device, which is a purpose limitation and a data location statement in one.
- Twenty six specialty template sets behind it in the parent platform, aimed squarely at the independent and specialty practice base NextGen already serves.
- It publishes a price and lets you try it. 149 US dollars per provider per month, expressed as roughly 1.25 dollars per visit, with a free trial requiring no contract and no credit card, against a module activated through an account representative at a negotiated rate.
- The specialty reach is the broadest of any embedded scribe here and it is enumerated rather than implied, extending past primary care into dermatology, rheumatology, behavioral health with DAP notes, dental periodontal charting and treatment plans, and vision.
- Order pre fill is real work removed rather than a suggestion to action. Labs, imaging, medications, referrals and follow up appointments arrive populated for editing, including on mobile, rather than as prompts a clinician still has to enter.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. NextGen Ambient Assist and Sunoh.ai are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | NextGen Ambient Assist | Sunoh.ai |
|---|---|---|
| Primary category | Ambient Scribes | Ambient Scribes |
| Founded | 1974 | 2023 |
| Headquarters | Not recorded | Westborough, Massachusetts, United States |
| Website | nextgen.com | sunoh.ai |
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index records no top capability grade for NextGen Ambient Assist on any axis it scores. Set against Sunoh.ai, NextGen Ambient Assist grades higher on Autonomy and Oversight Model. Its thinnest published disclosure sits on Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
The AI Health Index awards Sunoh.ai its top capability grade on AI Centrality, Commercial Transparency and Setting and Specialty Coverage. Set against NextGen Ambient Assist, Sunoh.ai grades higher on several axes, including AI Centrality, Model Supply Chain Disclosure and Commercial Transparency. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
Questions buyers ask
Should we choose NextGen Ambient Assist or Sunoh.ai?
On the axes where the AI Health Index separates them, NextGen Ambient Assist grades higher on Autonomy and Oversight Model, and Sunoh.ai grades higher on several axes, including AI Centrality, Model Supply Chain Disclosure and Commercial Transparency. Sunoh.ai leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do NextGen Ambient Assist and Sunoh.ai differ most?
The widest separation the AI Health Index records between NextGen Ambient Assist and Sunoh.ai is on AI Centrality, where NextGen Ambient Assist grades C and Sunoh.ai grades A. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do NextGen Ambient Assist and Sunoh.ai grade the same?
The AI Health Index grades NextGen Ambient Assist and Sunoh.ai the same on several axes, including Model and Technology Transparency, Clinical and Operational Evidence and AI Safety and PHI Stewardship. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have NextGen Ambient Assist and Sunoh.ai not disclosed?
At the last review, at least one of NextGen Ambient Assist and Sunoh.ai published thin or absent detail on Model Supply Chain Disclosure. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Ambient Scribes page.
Both accuracy positions are weak in different ways. NextGen publishes a figure of over 90 percent and never defines what was measured, against what reference standard, on how many encounters or in which specialties. Sunoh publishes no accuracy figure at all, and its own pages carry inconsistent adoption claims.
Sunoh's SOC 2 attestation is asserted only on third party comparison pages, several of them published by competitors, and was not reachable in the vendor's own materials across two passes. NextGen's trust page describes the security posture of its cloud host rather than of the product. Neither vendor publishes a bias, accent or dialect performance statement.