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AI voice assistant for clinicians
Updated
Suki AI is a clinical voice assistant AI agent offering an AI voice assistant that generates clinical notes, answers questions and handles coding for clinicians. Founded in 2017 and based in Redwood City, California, USA, Suki AI helps clinicians and health systems automate clinical voice assistant work and get results faster.
Suki AI takes audio as input and produces text and codes. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Epic, Oracle Health (Cerner), athenahealth and HL7 FHIR, so the agent works inside existing workflows.
Suki AI is built for clinicians and health systems. It suits teams that want ambient note generation and voice commands without adding headcount, while keeping people in control of review and final decisions.
Suki AI is often compared with Nuance DAX Copilot. Suki AI stands out for ambient note generation and ICD-10 and HCC coding. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Pricing Model
Custom
Starting Price
Contact vendor
Free Options
None
Suki AI for individuals and growing teams. See suki.ai for current pricing.
Suki AI for larger organizations with security and admin needs. Contact sales for a quote.
| Feature | Pro Popular | Enterprise |
|---|---|---|
| Ambient note generation | , | |
| Voice commands | , | |
| Higher usage limits | , | |
| Integrations | , | |
| Email support | , | |
| Everything in Pro | , | |
| ICD-10 and HCC coding | , | |
| EHR integration | , | |
| SSO and admin controls | , | |
| Dedicated support | , |
Other
CRM
Communication
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
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Healthcare AI platform with coding, speech-to-text and clinical agents