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.
Guida pratica all'acquisto
Dove Notat è più forte
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.
Dove Suki potrebbe essere più forte
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.
Integrazione con Epic ed EHR
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.
Affinità tra lingua e conformità
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.
Raccomandazione
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.
Confronto delle funzionalità
Le celle del competitor riportano la data dell'ultima verifica effettuata tramite fonti pubbliche. Tutto ciò che non abbiamo potuto verificare è contrassegnato come "Non documentato pubblicamente" — mai ipotizzato.
AI architecture & hallucination safeguards
Facts-first generation (hallucination safeguard)
Notat
Sì
FactsContext™ (patent pending): documentation is generated from extracted clinical facts, not raw transcripts
Suki
Non documentato pubblicamente
Raw clinical facts shown to the clinician
Notat
Sì
Raw extracted medical facts are shown to the clinician to inspect, verify, and reuse
Suki
Non documentato pubblicamente
Features
Ambient visit documentation
Notat
Sì
Ambient capture during the visit — no dictation required
Suki
Sì
Voice AI assistant + ambient scribe
al 2026-06-15
Medical coding suggestions
Notat
Sì
ICD-10 and 9 other coding systems, with supporting evidence excerpts
Suki
Non documentato pubblicamente
Native iPhone, iPad & Mac apps
Notat
Sì
Native iPhone, iPad, and Mac apps plus web
Suki
Non documentato pubblicamente
Languages
Multilingual & cross-language documentation
Notat
Sì
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
Non documentato pubblicamente
Compliance & data handling
GDPR-native / EU hosting
Notat
Sì
GDPR-native, EU/Norway hosting
Suki
Non documentato pubblicamente
HIPAA / BAA
Notat
Sì
HIPAA-compliant; BAA available
Suki
Non documentato pubblicamente
Zero audio retention
Notat
Sì
Zero audio retention — processed and deleted
Suki
Non documentato pubblicamente
Deployment
Epic / EHR support
Notat
Parziale
Epic is supported through the same EHR integration layer as other records; Notat is not Epic-only or dependent on Epic
Suki
Parziale
US-focused, integration-dependent EHR embedding
al 2026-06-15
Pricing & getting started
Self-serve free trial
Notat
Sì
14 days free, no credit card, self-serve start
Suki
Non documentato pubblicamente
Chi dovrebbe scegliere quale?
Scegli Notat se…
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
Scegli Suki se…
Your US practice runs an EHR that Suki embeds into deeply
Voice-assistant commands (not just documentation) are a priority
Fonti
• Suki raised a $70M Series D in October 2024. (al 2026-06-15) — fonte
Domande frequenti
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.
Continua a valutare
FactsContext™
Scopri perché Notat estrae prima i fatti invece di scrivere direttamente dalle trascrizioni.
Trasparente
Metodo di valutazione
Esamina la metodologia e gli esempi di allucinazione trasparente.
Trasparente
Scrittore multilingue
99+ lingue parlate e 15 lingue di prodotto tradotte.
Trasparente
hub ICD-10
Visualizza i suggerimenti di codifica con prove e guide specifiche per la condizione.
Trasparente
Scopri i fatti dietro la tua prossima nota.
Il modo più veloce per confrontarli è provarli: registra una consulenza, guarda FactsContext™ estrarre i fatti clinici e leggi un appunto che puoi verificare riga per riga.
Prova Notat gratuitamente