Notat vs Suki
Notat vs Suki: an honest, dated comparison of AI architecture and hallucination safeguards, languages, compliance, deployment, and pricing for clinical AI documentation.
Practical buying guidance
Where Notat is stronger
FactsContext™ extracts clinical facts first, writes from those facts, and shows the raw facts to the clinician for review.
Notat supports spoken capture in 99+ languages and product translation in 15 languages, with multilingual and cross-language workflows treated as core use cases.
Notat is Epic-capable without being Epic-locked, so small practices and non-Epic clinics can start without adopting an Epic-first stack.
Where Suki may be stronger
US practices already using an EHR where Suki has deep embedding.
Teams that want broader voice-assistant commands in addition to note drafting.
Buyers who prefer an integration-led rollout over self-serve start.
Epic and EHR fit
Suki is strongest when the practice is US-based and wants a voice assistant embedded into a supported EHR workflow. Notat fits teams that want EHR flexibility: Epic can be supported through the same EHR integration layer as other records, but Notat is not dependent on Epic and is lighter than Epic-first enterprise scribes.
Language and compliance fit
Notat is strongest when multilingual capture, EU/GDPR posture, HIPAA with BAA, zero audio retention, and clinician-visible facts are buying criteria. Competitor language and compliance claims should be checked against current public documentation and your data-processing requirements.
Recommendation
Choose Suki when its EHR assistant workflow matches your US practice. Choose Notat when you need facts-first note generation, visible raw context, multilingual workflows, and a self-serve path that does not depend on a specific EHR integration.
Notat
Notat is the Clinical AI Platform built on the patent-pending FactsContext™ engine: it extracts structured clinical facts from the encounter first, generates documentation from those facts — never straight from a transcript — and shows the raw facts to the clinician. Multilingual by design, Notat supports spoken capture in 99+ languages through its AssemblyAI-powered speech layer, and the product is translated in 15 languages: English, Norwegian, Danish, Swedish, Finnish, Estonian, Dutch, German, Spanish, Italian, French, Arabic, Polish, Portuguese, and Hindi. GDPR-native with EU hosting, HIPAA-compliant with BAA, Epic-capable through the same EHR integration layer as other records, and built for independent and allied-health practices as well as clinics.
Suki
Suki is a US-focused voice AI assistant and scribe, well funded ($70M Series D in October 2024) and known for deep EHR embedding with partners such as MEDENT.
Feature comparison
Competitor cells carry the date they were last verified from public sources. Anything we could not verify is marked "Not publicly documented" — never guessed.
AI architecture & hallucination safeguards
Facts-first generation (hallucination safeguard)
Notat
Yes
FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts
Suki
Not publicly documented
Raw clinical facts shown to the clinician
Notat
Yes
Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse
Suki
Not publicly documented
Features
Ambient visit documentation
Notat
Yes
Ambient capture during the visit — no dictation required
Suki
Yes
Voice AI assistant + ambient scribe
as of 2026-06-15
Medical coding suggestions
Notat
Yes
ICD-10 and 9 other coding systems, with supporting evidence excerpts
Suki
Not publicly documented
Native iPhone, iPad & Mac apps
Notat
Yes
Native iPhone, iPad, and Mac apps plus web
Suki
Not publicly documented
Languages
Multilingual & cross-language documentation
Notat
Yes
Spoken capture in 99+ languages; product translated in 15 languages: English, Norwegian, Danish, Swedish, Finnish, Estonian, Dutch, German, Spanish, Italian, French, Arabic, Polish, Portuguese, and Hindi
Suki
Not publicly documented
Compliance & data handling
GDPR-native / EU hosting
Notat
Yes
GDPR-native, EU/Norway hosting
Suki
Not publicly documented
HIPAA / BAA
Notat
Yes
HIPAA-compliant; BAA available
Suki
Not publicly documented
Zero audio retention
Notat
Yes
Zero audio retention — processed and deleted
Suki
Not publicly documented
Deployment
Epic / EHR support
Notat
Partial
Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic
Suki
Partial
US-focused, integration-dependent EHR embedding
as of 2026-06-15
Pricing & getting started
Self-serve free trial
Notat
Yes
14 days free, no credit card, self-serve start
Suki
Not publicly documented
Who should choose which?
Choose Notat if…
You want facts-first documentation with visible clinical facts
You practice outside the US or need multilingual notes
You want to start without an EHR integration project
Choose Suki if…
Your US practice runs an EHR that Suki embeds into deeply
Voice-assistant commands (not just documentation) are a priority
Sources
• Suki raised a $70M Series D in October 2024. (as of 2026-06-15) — source
Frequently asked questions
How does Notat's approach to hallucinations differ from Suki?
Notat's patent-pending FactsContext™ engine extracts structured clinical facts from the encounter before generating any documentation, and only writes from those facts — the raw facts are shown to you so every sentence can be verified against its source. Most AI scribes generate notes directly from a transcript, which leaves more room for unsupported statements. Check Suki's public documentation for details of their safeguards.
Do clinicians still review notes in Notat?
Always. You review and sign every note — Notat makes review faster because you can check the note against the extracted clinical facts instead of re-listening to the visit.
Is this comparison with Suki objective?
We aim to be factual and fair. Every competitor claim carries a visible "as of" date and, where available, a public source. Cells we cannot verify from public documentation are marked "Not publicly documented" rather than guessed. If something is out of date, contact us and we will correct it.
Keep evaluating
FactsContext™
See why Notat extracts facts first instead of writing straight from transcripts.
Open
Evaluation method
Review the transparent hallucination methodology and examples.
Open
Multilingual scribe
99+ spoken languages and 15 translated product languages.
Open
ICD-10 hub
See code suggestions with evidence and condition-specific guides.
Open
See the facts behind your next note.
The fastest way to compare is to try it: record a consultation, watch FactsContext™ extract the clinical facts, and read a note you can verify line by line.
Try Notat free