Heidi Health vs Suki (2026)
A self serve global platform against an enterprise voice assistant; the buyer profiles barely overlap. Heidi's strengths are breadth and transparency: a reported 110 languages across 190 countries and more than 200 specialties, published pricing from a free tier, and expansion into cited decision support through Heidi Evidence, with EHR integration on its Teams plan. Suki's strengths are depth and interaction: deep bidirectional integrations across Epic, Oracle Health, athenahealth, MEDITECH, and Elation, and a voice command layer that orders, navigates, queries, and stages orders for review. If your failure mode is languages, geographies, or needing a price without a sales call, start with Heidi. If your failure mode is operating the EHR by voice inside a US enterprise estate, start with Suki, which publishes no command interpretation accuracy.
- Language and geography decide it: a reported 110 languages across 190 countries and more than 200 specialties, where Suki's published materials state no comparable language claim.
- You need a price without a sales call: a free tier with unlimited transcription and a published Clinician tier at $110 per user per month billed annually, where Suki publishes no price.
- Data handling and roadmap: no audio stored after transcription as a stated engineering commitment, with ISO 27001 and SOC 2 Type II stated, plus Heidi Evidence surfacing cited decision support drawing on BMJ Group content and Heidi Comms coordinating patient calls.
- You want to operate the EHR by voice, not just document: commands order medications, navigate charts, query the patient record, stage orders for review, and pull schedules.
- Deeper EHR integration: bidirectional integrations with Epic, Oracle Health, athenahealth, MEDITECH, and Elation with write access to order workflows, where Heidi's push to chart comes with its Teams plan.
- An unconditional retention commitment and an embed path: audio and transcripts are deleted after 30 days by default on every deployment, and Suki Platform lets other healthcare software vendors embed the capability.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Heidi Health and Suki 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 | Heidi Health | Suki |
|---|---|---|
| Primary category | Ambient Scribes | Ambient Scribes |
| Founded | Not recorded | 2017 |
| Headquarters | Melbourne, Australia | Redwood City, California |
| Website | heidihealth.com | suki.ai |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Heidi is a global ambient AI scribe that generates structured clinical notes from the patient encounter. It reports more than 175 million patient interactions supported across more than 190 countries, and solutions are published for family medicine, specialists, nurses, mental health, allied health, dentists, veterinarians and trainees.
Source: AI Health Index, July 2026
Suki pairs ambient documentation with a voice command layer over the EHR. Clinicians can dictate, capture visits ambiently, or use voice commands to order medications, navigate charts, query patient records, stage orders for review and pull schedules. The product also offers ICD-10, E/M and HCC coding assistance, chart aware clinical questions answered against the patient record, and pre visit summaries.
Source: AI Health Index, July 2026
Questions buyers ask
How do Heidi Health and Suki work with the EHR?
For Heidi Health, the Teams integrations reach the main hospital and ambulatory systems. For Epic, Heidi describes ambient documentation, structured writeback and clinical task automation across Hyperspace, Hyperdrive and Haiku.
A clinician speaks the recommended orders, and Suki structures, codes and stages them in the EHR for review and sign off. At launch, Suki named labs, imaging, referrals and other order types across Epic, Cerner and MEDITECH as the next step. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified July 22, 2026. No vendor pays for placement.
How do Heidi Health and Suki handle patient data?
In Heidi Health's case, data is never used for secondary purposes such as model training or commercialization, and clinical data is never shared or sold. Identifiable details are removed from transcripts and notes and processed separately from the rest.
Suki does not identify the clinician or the patient in voice recordings, creates and keeps no voice signatures, and uses voice only to transcribe and summarize the note. Audio and transcripts are permanently deleted after 30 days, and the final clinical note is kept for the length of the service contract. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified July 22, 2026. No vendor pays for placement.
Which settings and specialties do Heidi Health and Suki cover?
With Heidi Health, the company reports around 2.8 million patient visits a week in 110 languages from 190 countries, and states coverage of more than 200 specialties.
In Suki's case, the homepage claims use across more than 100 specialties, on desktop and on iOS and Android devices, in various care settings. Integration with Epic, Oracle Health, athenahealth and MEDITECH puts the product inside the EHRs most US health systems run, from large integrated networks down to ambulatory practices. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified July 22, 2026. No vendor pays for placement.
What evidence is published for Heidi Health and Suki?
In 385 simulated visits, Heidi's unedited notes were 60% less likely than clinician written notes to contain a serious documentation error. A multilingual study built on five clinical dictation scripts rendered as synthetic speech reports that, across 77 languages, 97.5% of transcription errors carried low clinical risk and 0.42% were critical or high.
With Suki, deployment scale carries most of the public case. MedStar Health expanded its partnership and put the product in front of thousands of clinicians across ambulatory specialties, alongside partnerships with Zoom and athenahealth. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified July 22, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers.
Volume figures for both vendors are vendor published, including Heidi's 2.5 million weekly consults and Suki's roughly 125,000. Heidi's published evidence is three medRxiv preprints by its own research team using simulated visits; Suki publishes its own outcome figures without a study design. Heidi's EHR write back comes with the Teams plan, and its pricing was restructured in February 2026. Suki's command interpretation accuracy is not published, and its model training posture is not addressed in its published materials. Heidi's pricing is published; Suki's is not.