Company profile
Suki
AI assistant for medical documentation, coding, and clinical reasoning.
- Category
- Healthcare AI
- Headquarters
- Not stated
- Sells to
- Enterprise
- Business model
- SaaS subscription
- Deployment
- Cloud / SaaS, Mobile
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- speech, Text
What Suki does
Suki provides ambient clinical intelligence engineered to transform healthcare workflows. It offers an AI infrastructure that handles documentation, coding, and revenue. The platform integrates with top EHRs and delivers ROI by capturing entire patient conversations to generate complete, high-quality notes, patient instructions, and orders. Suki goes beyond transcription with flexible capabilities like voice-enabled editing and problem-based charting, adapting to clinicians' work styles and streamlining documentation. It aims to save time, reduce mental burden, create accurate clinical notes that sync directly into the EHR, and enable clinicians to be more present with patients. Suki works across desktop and mobile devices (iOS and Android) for over 100 specialties and adapts to various care settings and major EHRs. It also offers a developer toolkit for healthtech companies to integrate AI capabilities into their applications.
Products
- Suki for CliniciansA comprehensive AI assistant spanning the entire workflow from pre-charting to documentation and clinical reasoning, available in a first-party app to help clinicians reduce busywork and cognitive load.
- Suki for PartnersA developer toolkit that allows healthtech companies to add powerful AI capabilities directly into their applications, enabling seamlessly integrated and streamlined experiences for their users.
- Suki ComposeAn AI-powered clinical documentation app designed to work with all EHRs.
- Ambient DocumentationStreamlines clinical workflows by accurately capturing patient encounters in real-time and converting them into structured notes. Supports 80 languages and customizable settings, syncing to the EHR.
- Assisted Revenue CycleA comprehensive coding solution that transforms point-of-care data into structured, billable information, improving diagnosis specificity, coding accuracy, and revenue capture by automatically adding relevant ICD-10 codes.
- Clinical ReasoningProvides instant insights to aid clinician decision-making by answering questions and creating patient summaries directly within the workflow, saving time and facilitating better care.
Key capabilities
- Ambient Clinical Intelligence
- AI infrastructure for documentation, coding, and revenue
- Charting management
- Dictation
- Patient instructions generation
- Orders management
- Voice-enabled editing
- Problem-based charting
- Integration with major EHRs (Epic, Oracle Health, athenahealth, MEDITECH)
- Cross-device compatibility (desktop, iOS, Android)
- Support for 100+ medical specialties
- Pre-charting support
- Clinical reasoning capabilities
- Q&A functionality
- Fully AI native architecture
- End-to-end capabilities (documentation, coding, clinical reasoning, Q&A)
- Real-time EHR integration
- Extensive dataset leverage for AI training
- Robust security posture
- Infinitely scalable platform
- SOC2 Type 2 certified
- HIPAA compliant
- Support for 80 languages in documentation
- Customizable note settings
- Automatic ICD-10 code addition
- Patient history overview before visits
- Developer toolkit (APIs and SDKs) for partners
Use cases
- Streamlining clinical documentation
- Reducing administrative burden for clinicians
- Improving patient presence during consultations
- Generating complete and high-quality clinical notes
- Creating patient instructions
- Managing medical orders
- Enhancing coding accuracy and revenue capture
- Providing instant clinical insights for decision-making
- Automating ICD-10 coding
- Preparing for patient visits with summarized histories
- Integrating AI capabilities into healthtech applications
- Optimizing healthcare workflows
- Reducing clinician burnout
AI approach
Suki provides ambient clinical intelligence using AI to capture patient conversations, generate clinical notes, patient instructions, and orders. It also assists with revenue cycle management by transforming data into structured, billable information and provides clinical reasoning through instant insights and patient summaries. The platform is described as "fully AI native" and built with intelligence at its core, leveraging extensive datasets from EHR integrations and industry partnerships. It uses a multi-layered approach fusing cutting-edge AI with deep clinical oversight.
Tech named: AI, developer toolkit, APIs, SDKs
Industries served
- Healthcare
What it says sets it apart
- Goes beyond transcription to capture entire patient conversations
- Adapts to how clinicians work with flexible capabilities like voice-enabled editing and problem-based charting
- Seamlessly integrates across desktop and mobile devices (iOS, Android) and 100+ specialties
- Works with all major EHRs and healthtech partners
- Fully AI native, built with intelligence at its core for personalized experiences and future-proofed solutions
- End-to-end capabilities combining documentation, coding, clinical reasoning, and Q&A in a single solution
- Deep, real-time integrations with the four leading EHRs (Epic, Oracle Health, athenahealth, MEDITECH) making it the most embedded ambient AI solution
- Leverages extensive dataset from EHR integrations and industry partnerships for applicable AI output
- Enterprise-grade platform with robust security, scalability, SOC2 Type 2 certification, and HIPAA compliance
- Transforms conversations into structured data that powers downstream workflows like coding, billing, and clinical insights
- Multi-layered approach fusing cutting-edge AI with deep clinical oversight and a dedicated Clinical Operations team for exceptional note quality
Funding rounds we track
Hedosophia, Venrock
March Capital, Philips Ventures, Philips Venture, Venrock, Flare Capital, Breyer Capital, inHealth Ventures
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Suki's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.