Suki AI

Suki AI is an artificial intelligence healthcare technology company that develops voice-enabled clinical assistants and ambient clinical intelligence solutions for healthcare professionals. Its platform is designed to reduce the administrative burden associated with medical documentation, electronic health records (EHRs), clinical coding, and other routine tasks. By using artificial intelligence to capture clinical conversations and organise relevant information, Suki helps clinicians spend less time on paperwork and more time focusing on patient care.

Founded in 2017 by Punit Soni and Karthik Rajan, Suki is headquartered in Redwood City, California. The company began with the goal of creating an intelligent voice assistant for doctors and has since expanded into a broader platform for clinical documentation, coding, clinical reasoning, and healthcare technology integrations. Its products are intended for healthcare organisations, medical practices, clinicians, and technology partners that want to incorporate AI into clinical workflows.

One of Suki’s principal capabilities is ambient clinical documentation. Traditional clinical documentation can require healthcare professionals to spend considerable time typing notes, navigating EHR screens, and completing records after consultations. Suki is designed to capture conversations between clinicians and patients, process the relevant information, and generate structured clinical notes. This allows clinicians to maintain greater attention on the patient while the system assists with preparing documentation.

Unlike a basic speech-to-text application, Suki aims to interpret clinical conversations and organise the information into appropriate documentation formats. It can generate specialty-specific notes, support problem-based charting, and provide voice-enabled editing. Clinicians can review the generated content, make corrections, and adapt the documentation to their preferred style. The final clinical record should always be checked by the responsible professional to ensure that it accurately reflects the encounter.

Suki also supports clinical documentation across multiple stages of a patient visit. Before an appointment, the platform can provide patient summaries and help clinicians retrieve relevant information from the medical record. During the encounter, it can assist with ambient note generation and order staging. After the consultation, it can help finalise documentation and prepare patient instructions. This broader workflow approach is intended to reduce repetitive administrative work rather than simply transcribe spoken words.

Another important feature is voice-enabled interaction with clinical records. Clinicians can use spoken commands to retrieve information, navigate documentation tasks, and edit notes. Depending on the available integration and workflow, the platform can help users find relevant patient information without manually searching through multiple sections of an electronic health record. This may be especially useful in busy practices where clinicians need to access information quickly while maintaining their focus on the patient.

Suki also offers clinical coding support. Medical coding involves assigning appropriate codes to diagnoses, services, and encounters for documentation and reimbursement purposes. Errors or omissions can create additional administrative work, affect claim processing, and lead to amended records. Suki’s coding capabilities assist with identifying relevant codes, including ICD-10, HCC, CPT, and evaluation and management codes. These suggestions can support billing and documentation workflows, but coding decisions should still be validated according to applicable rules and organisational procedures.

Clinical reasoning and question answering are another part of Suki’s expanding capabilities. The platform can help clinicians retrieve information from patient records and, through supported integrations, access clinical knowledge within their existing workflow. In October 2026, Suki announced Ask, a feature that incorporates Wolters Kluwer’s UpToDate Expert AI API into its clinical workflow. The feature is designed to let clinicians ask questions and retrieve relevant patient-specific information alongside trusted clinical reference content. Such tools are intended to support professional decision-making, not replace clinical expertise or independent assessment.

Suki is designed to work with major electronic health record systems. Its website highlights deep integrations with Epic, Oracle Health, athenahealth, and MEDITECH. These integrations are important because clinical documentation tools are most useful when they can transfer approved notes and relevant information into the systems healthcare organisations already use. The platform also works with healthcare technology partners across areas such as telehealth, care management, and revenue cycle workflows. The exact functionality available depends on the integration and implementation.

For healthcare technology developers, Suki provides a partner platform with software development kits (SDKs) and application programming interfaces (APIs). These tools allow partners to embed Suki’s ambient clinical intelligence capabilities directly into their own applications. For example, a healthcare software provider may integrate note generation, voice editing, patient summaries, or information retrieval into its existing product. This approach helps technology companies add clinical AI features without developing every component independently. API access is provided through the partner programme, and prospective developers can request access through Suki’s official website.

Suki supports a wide range of medical specialties and healthcare environments. Its website describes support for more than 100 specialties, including primary care, cardiology, emergency medicine, paediatrics, oncology, orthopaedics, psychiatry, and many others. It is designed for use in ambulatory clinics, inpatient settings, emergency departments, urgent care, telehealth, and home health workflows. This flexibility makes it relevant to healthcare systems with different patient populations and clinical operating models.

Security and privacy are essential considerations for any platform handling medical information. Suki states that its platform is HIPAA compliant and SOC 2 Type II certified. These measures are relevant to organisations assessing how patient information is processed and protected. Healthcare providers should still review the vendor’s current security documentation, contractual terms, access controls, data retention policies, and integration settings before adopting the platform. Compliance claims should be evaluated alongside each organisation’s own legal and operational obligations.

Suki’s value proposition centres on reducing the amount of time clinicians spend documenting encounters, improving workflow efficiency, and helping healthcare organisations manage administrative demands. The company reports improvements in documentation time, practice satisfaction, and other performance measures on its website. Actual results will depend on the clinical setting, specialty, EHR configuration, clinician adoption, and the quality of the generated documentation. Organisations should assess these outcomes during a pilot or formal evaluation rather than assume that the same results will occur everywhere.