Freed vs Sunoh.ai (2026)
This is the cleanest version of the bundled against standalone decision, because both vendors publish a price and both let you try it without a contract. Sunoh is 149 dollars per provider per month and lives inside eClinicalWorks, where it writes structured content into the Progress Note and pre fills labs, imaging, medications and referrals. Freed is 39 to 119 dollars, works anywhere through a browser extension, and pastes a finished note with no structured write back at all. So the question is not which scribe is better but whether discrete data has to land in your chart. If you run eClinicalWorks and want the orders pre filled, Sunoh is doing something Freed cannot. If you want the lowest cost per clinician, a business associate agreement on every tier and no dependence on a record system relationship, Freed is nearly a third of the price.
- Pricing is published and so is the trial: 39 dollars a month for up to 40 notes, 79 unlimited, 119 with EHR push and coding, with a seven day trial that takes no credit card, against a record system module priced per provider inside a platform relationship.
- A business associate agreement is included by default on every tier rather than gated, so the cheapest plan is a viable production configuration for a clinician handling protected health information.
- The security disclosure is the most specific in the category: SOC 2 Type 1 and Type 2 described as independent third party audits, federal standard cryptographic modules, and all data processed and stored in United States data centres under an agreement with the hosting provider.
- It writes into the chart rather than pasting into it. Structured import directly into the Progress Note with pre filled labs, imaging, medications, referrals and follow up appointments, including on mobile, where the alternative pastes a note through a browser extension with no structured write back.
- Specialty reach that is enumerated and genuinely broad, including dermatology, rheumatology, behavioral health with DAP notes, dental periodontal charting and treatment plans, and vision, against a product strongest in primary care and documented as needing more editing in procedure heavy work.
- For an eClinicalWorks practice it is the default option inside one of the largest ambulatory record footprints in the United States, at 149 dollars per provider per month with a free trial and no contract.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Freed 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 | Freed | Sunoh.ai |
|---|---|---|
| Primary category | Ambient Scribes | Ambient Scribes |
| Founded | 2022 | 2023 |
| Headquarters | San Francisco, California | Westborough, Massachusetts, United States |
| Website | getfreed.ai | 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 awards Freed its top capability grade on several axes, including AI Centrality, HIPAA and BAA Posture and Security Certifications and Trust Center. Set against Sunoh.ai, Freed grades higher on several axes, including Autonomy and Oversight Model, Model Supply Chain Disclosure and HIPAA and BAA Posture. 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 Freed, Sunoh.ai grades higher on EHR and Interoperability Depth and Setting and Specialty Coverage. 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 Freed or Sunoh.ai?
On the axes where the AI Health Index separates them, Freed grades higher on several axes, including Autonomy and Oversight Model, Model Supply Chain Disclosure and HIPAA and BAA Posture, and Sunoh.ai grades higher on EHR and Interoperability Depth and Setting and Specialty Coverage. Freed 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 Freed and Sunoh.ai differ most?
The widest separation the AI Health Index records between Freed and Sunoh.ai is on Setting and Specialty Coverage, where Freed grades C and Sunoh.ai grades A. That axis sits in the Commercial group, so it should carry the most weight for a buyer whose binding constraint is contracting, scope and what the price actually covers.
Where do Freed and Sunoh.ai grade the same?
The AI Health Index grades Freed and Sunoh.ai the same on several axes, including AI Centrality, Model and Technology Transparency and Clinical and Operational Evidence. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
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.
Sunoh's SOC 2 attestation is asserted only on third party comparison pages, several published by competitors, and was not reachable in the vendor's own materials across two passes, so treat it as unverified. Its adoption claims are inconsistent across its own site, and its audio retention window of roughly seven days is third party reported rather than vendor published.
Freed states that its models are trained only on de identified notes, which means customer content does train the model after de identification, a different commitment from not training on customer data at all. Neither vendor publishes an accuracy figure or a bias and accent performance statement.