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.
Praktisk köpvägledning
Där Notat är starkare
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.
Där Suki kan vara starkare
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- och EHR-anpassning
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.
Språk och regelefterlevnad
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.
Rekommendation
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.
Funktionsjämförelse
Konkurrentens celler visar datumet de senast verifierades från publika källor. Allt vi inte kunde verifiera är markerat som ”Inte offentligt dokumenterat” — aldrig gissat.
AI architecture & hallucination safeguards
Facts-first generation (hallucination safeguard)
Notat
Ja
FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts
Suki
Inte offentligt dokumenterad
Raw clinical facts shown to the clinician
Notat
Ja
Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse
Suki
Inte offentligt dokumenterad
Features
Ambient visit documentation
Notat
Ja
Ambient capture during the visit — no dictation required
Suki
Ja
Voice AI assistant + ambient scribe
per 2026-06-15
Medical coding suggestions
Notat
Ja
ICD-10 and 9 other coding systems, with supporting evidence excerpts
Suki
Inte offentligt dokumenterad
Native iPhone, iPad & Mac apps
Notat
Ja
Native iPhone, iPad, and Mac apps plus web
Suki
Inte offentligt dokumenterad
Languages
Multilingual & cross-language documentation
Notat
Ja
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
Inte offentligt dokumenterad
Compliance & data handling
GDPR-native / EU hosting
Notat
Ja
GDPR-native, EU/Norway hosting
Suki
Inte offentligt dokumenterad
HIPAA / BAA
Notat
Ja
HIPAA-compliant; BAA available
Suki
Inte offentligt dokumenterad
Zero audio retention
Notat
Ja
Zero audio retention — processed and deleted
Suki
Inte offentligt dokumenterad
Deployment
Epic / EHR support
Notat
Delvis
Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic
Suki
Delvis
US-focused, integration-dependent EHR embedding
per 2026-06-15
Pricing & getting started
Self-serve free trial
Notat
Ja
14 days free, no credit card, self-serve start
Suki
Inte offentligt dokumenterad
Vem bör välja vad?
Välj Notat om…
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
Välj Suki om…
Your US practice runs an EHR that Suki embeds into deeply
Voice-assistant commands (not just documentation) are a priority
Källor
• Suki raised a $70M Series D in October 2024. (per 2026-06-15) — källa
Vanliga frågor
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.
Fortsätt utvärdera
FactsContext™
Se varför Notat extraherar fakta först istället för att skriva direkt från transkriptioner.
Öppen
Utvärderingsmetod
Granska den transparenta metodiken för hallucinationer och exempel.
Öppen
Flerspråkig dikterare
99+ talade språk och 15 översatta produktspråk.
Öppen
ICD-10 hub
Se förslag på kod med belägg och diagnosspecifika guider.
Öppen
Se fakta bakom din nästa anteckning.
Det snabbaste sättet att jämföra är att prova själv: spela in en konsultation, se FactsContext™ extrahera de kliniska fakta, och läs ett anteckningsdokument som du kan verifiera rad för rad.
Prova Notat gratis