Suki AI

Redwood City, California, USA All United States companies → — Founded 2017

Ambient Scribing / Documentation Revenue Cycle / Billing

Family Medicine Hospital Medicine Internal Medicine

Documentation & Scribing

Series E

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Products

Suki AI

Documentation & Scribing

Suki AI is an AI-powered voice assistant for doctors that reduces administrative burden and streamlines medical documentation, allowing clinicians to focus more on patient care. It offers ambient clinical intelligence, generating complete notes, patient instructions, and orders, and integrates deeply with major EHRs.

Paid, subscription-based

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About Suki AI

Suki AI is a healthcare AI company that develops AI-powered voice solutions to alleviate the administrative burden on physicians, allowing them to focus more on patient care. Their flagship product, Suki Assistant, is an AI-powered, voice-enabled digital assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. This technology goes beyond transcription to capture the entire patient conversation and generate comprehensive, high-quality notes, patient instructions, and orders. Suki’s solutions are designed to integrate seamlessly with major Electronic Health Record (EHR) systems such as Epic, Oracle Health (formerly Cerner), athenahealth, and MEDITECH, offering flexible capabilities like voice-enabled editing and problem-based charting.

In addition to ambient documentation, Suki’s platform extends to other critical workflows, including assisted revenue cycle management and clinical reasoning. The AI transforms data at the point of care into structured, billable information, improving diagnosis specificity, coding accuracy (ICD-10, HCC, CPT, E/M coding), and revenue capture. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who wish to embed best-in-class ambient and voice experiences into their own solutions. The company aims to reimagine the healthcare technology stack, making it invisible and assistive, and has demonstrated success in reducing documentation time for physicians by an average of 41% to 76%.

Focus Areas

AI assistant for clinical documentation ambient clinical intelligence voice-enabled digital assistant medical coding clinical reasoning reducing administrative burden EHR integration natural language processing machine learning

Business Intelligence

Technology

AI-powered voice platform, generative AI, natural language processing, machine learning, Suki Platform (developer toolkit), ambient clinical intelligence, cloud-native (Google Cloud Platform)

What Physicians Need to Know

Ambient Clinical Intelligence & Documentation

Suki's core offering is its Ambient Clinical Intelligence (ACI) platform, which passively listens to clinician-patient conversations and automatically generates structured, specialty-specific clinical notes. This goes beyond mere transcription, interpreting natural dialogue and extracting key clinical data points. It supports over 100 medical specialties and 80+ languages, adapting to the nuances of medical language and documentation patterns for each specialty. Clinicians can also use voice-enabled editing and problem-based charting.

Voice-Enabled Digital Assistant

Suki is a voice-first clinical assistant, allowing clinicians to use natural language voice commands to interact with their EHR. This includes ordering medications, adding diagnoses, navigating charts, querying patient records, and staging orders, creating a hands-free workflow. Suki also offers an AI-powered dictation tool for verbatim transcription, useful for complex procedures or medical codes.

Medical Coding & Revenue Cycle

Suki generates ICD-10, HCC, CPT, and E&M billing code suggestions based on the documented encounter, transforming data at the point of care into structured, billable information. This aims to improve diagnosis specificity, reduce revenue leakage, accelerate payer review, and ensure compliant claims.

Clinical Reasoning & Insights

Suki provides instant insights to support clinical decision-making through features like patient summaries and Chart Q&A. Patient summaries automatically collect and summarize essential information from prior visits, medications, labs, and problems, reducing chart-digging. Chart Q&A allows clinicians to ask natural-language questions about patient records and receive answers from the EHR without manual navigation.

Reducing Administrative Burden

Suki's primary mission is to lift the administrative burden from clinicians, aiming to reduce burnout and give them more time with patients. Studies have shown a significant reduction in documentation time (up to 41% faster per note) and a decrease in physician burnout.

Technology Stack

Suki's AI stack includes proprietary medical Automatic Speech Recognition (ASR) models and intent extractors specifically tuned for healthcare language. It utilizes a Clinical Knowledge Graph that connects patient data, EHR records, drug databases, and clinical research for contextual intelligence. The platform also incorporates Quality Driver Metrics, blending human-in-the-loop evaluations with continuous AI evaluation to ensure accuracy and safety. Suki uses generative AI to create clinical documentation.

Key Differentiators

Suki's key differentiator is its 'voice-first' approach, offering an interactive clinical assistant that not only listens but also accepts voice commands for EHR interaction, unlike many passive AI scribes. It provides ambient order staging, automatically structuring and coding prescription orders from spoken treatment plans. Suki also boasts comprehensive coverage across over 100 medical specialties and 80+ languages. Its deep, bi-directional integrations with major EHRs are also a significant differentiator.

Physician Tip

For physicians, Suki AI offers a truly hands-free clinical workflow, allowing you to focus more on patient care and less on administrative tasks. The voice-first commands enable efficient interaction with the EHR, including ordering and charting, without needing to type or click. Leveraging specialty-specific documentation and coding suggestions can lead to more accurate notes and improved revenue capture. Utilize the patient summaries and Chart Q&A features to quickly gain context and support clinical reasoning during encounters. Suki's ability to adapt to your specific medical specialty ensures that generated documentation aligns with your practice's unique language and patterns.

Suki offers incomparable and deep, real-time, bi-directional integrations with leading EHRs, including Epic, Oracle Health (formerly Cerner), athenahealth, and MEDITECH. This allows for seamless data exchange, pulling patient information into notes and sending finalized documentation and coding suggestions back to the EHR without manual copy-pasting. Suki also partners with other health tech companies like WellSky and Zoom to embed its AI capabilities into various healthcare applications and telehealth offerings.

At a glance

Founded 2017

HQ Redwood City, California, USA · United States

CEO Punit Soni

Funding Series E

Products 1

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Products by Suki AI

1 product in the directory

Suki AI

Documentation & Scribing

Paid, subscription-based

What the Web Says

Suki AI is generally well-regarded for its voice-enabled AI assistant designed for healthcare professionals, aiming to reduce administrative burden and improve clinical documentation efficiency. While praised for its potential to save time and its user-friendly interface, some users note a learning curve and occasional inaccuracies or limitations in specific clinical contexts.

Overall: Positive

Strengths

Significantly reduces time spent on clinical documentation (e.g., charting, notes).
Improves efficiency and allows clinicians to focus more on patient care.
Intuitive voice interface, easy to use once accustomed.
Integrates with existing EHR systems.
Positive impact on physician burnout by streamlining workflows.
Good customer support and responsiveness to feedback.

Limitations

Can have a learning curve for new users to adapt to voice commands and AI nuances.
Occasional inaccuracies or misinterpretations of medical terminology, requiring corrections.
May not be perfectly suited for all specialties or complex documentation scenarios.
Some users report a need for more customization options.
Reliance on internet connectivity can be a limitation.
Potential for initial disruption to existing workflows during implementation.

Based on reviews from: G2, Glassdoor, Capterra, Reddit, Healthcare IT News, Physician reviews

Last updated: 2026-10-24

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News, demos, and interviews about Suki AI.

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Press & Coverage

Suki AI (Press Release)

Suki Raises $90M Series E to Scale Healthcare AI Agents

Suki announced a $90 million Series E funding round with new and existing investors to accelerate growth and expand its healthcare AI capabilities beyond clinical documentation into clinical reasoning, revenue cycle, and operational workflows.

2026-10

MobiHealthNews

Suki raises $90M for AI clinical workflows

Suki secured $90 million in Series E financing to expand its AI technologies, build out its commercial organization, and fuel its next phase of growth, aiming to create an 'intelligent operating system that understands the patient'.

2026-10

Fierce Healthcare

Suki launches 'Ask' feature for clinical decision support driven by Wolters Kluwer UpToDate AI API

Suki launched its new 'Ask' feature, which integrates trusted clinical knowledge from Wolters Kluwer's UpToDate Expert AI directly into clinicians' workflows for complex clinical decision support.

2026-10

Healthcare Dive

Suki launches AI dictation tool with EHR integration capabilities

Suki has introduced a new AI-powered dictation tool that transcribes speech into text verbatim, offering clinicians a flexible documentation method that can be integrated with EHR systems like Epic and Meditech.

2026-08

Suki AI (Press Release)

Suki Launches Science at Suki to Set a New Standard for Healthcare AI

Suki initiated 'Science at Suki,' an industry-wide scientific research initiative to generate rigorous research and real-world clinical evidence, aiming to establish methodologies and standards for advancing healthcare AI.

2026-09

Adoptify AI

Regulatory Crosswinds Surround Suki Series E Funding Surge

Suki's Series E funding arrives amid regulatory scrutiny and ongoing lawsuits concerning ambient scribes, highlighting the need for robust patient consent workflows and data privacy measures in AI deployments.

2026-10

MarketScale

Suki raises $90M to take its AI scribe beyond notes

Suki's recent $90 million Series E funding will support its efforts to build an open ecosystem for healthcare AI and fund its AI technology and integrations, moving beyond just note-taking to broader assistant functions.

2026-10

JMIR Med Informatics (via Suki Blog)

Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study

A peer-reviewed study published in JMIR Med Informatics found that Suki's ambient AI led to a 35% reduction in 'pajama time' and a projected revenue gain of US $2629 per provider per month.

2026-06

Frequently Asked Questions

What is Suki AI, and how does it reduce administrative burden for physicians?

Suki AI is an AI-powered voice assistant and ambient clinical intelligence platform designed to alleviate administrative tasks for healthcare professionals. It uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations, helping clinicians complete notes faster and reducing burnout. Suki's platform also assists with tasks like medical coding, clinical reasoning, and order staging, aiming to make healthcare technology invisible and assistive.

What are Suki AI's main products and their capabilities regarding clinical documentation, medical coding, and clinical reasoning?

Suki's flagship product is Suki Assistant, an AI assistant that uses generative AI for ambient clinical documentation, automatically creating clinical notes from patient-clinician conversations. It also offers assisted revenue cycle capabilities, generating ICD-10, HCC, CPT, and E/M codes, and provides clinical reasoning features like patient summaries and Q&A-based clinical insights. Additionally, Suki Dictation is available as a standalone or integrated tool for voice-enabled clinical documentation.

How does Suki AI integrate with existing EHR systems, and which major EHRs are supported?

Suki AI offers deep, real-time, bi-directional integrations with leading EHRs, allowing it to pull updates from the EHR into notes and seamlessly send completed documentation back. Suki integrates with Epic, Oracle Health (formerly Cerner), athenahealth, and MEDITECH.

What are Suki AI's compliance and security measures for patient data?

Suki AI is HIPAA compliant and SOC 2 Type 2 certified, providing a Business Associate Agreement (BAA) to all customers. It employs multiple layers of security, including TLS 1.2 encryption for data in transit and AES-256 encryption for data at rest on Google Cloud services. Suki also de-identifies and anonymizes data for model training purposes to protect patient privacy.

What is the pricing model for Suki AI, and how does it compare to alternatives?

Suki AI does not publicly publish its pricing, operating on an enterprise sales model with negotiated contracts. Industry reports suggest pricing around $299 per provider per month for Suki Compose (documentation-only) and approximately $399 per provider per month for Suki Assistant (full AI assistant with deep EHR integration). This places Suki among the more expensive AI scribe options compared to some alternatives.

What kind of support and training does Suki AI offer to ensure successful adoption and ongoing use?

While specific details on support and training programs are not extensively detailed in the provided search results, Suki emphasizes a clinician-focused approach and high adoption rates (over 80%). Their partnerships and integration strategies suggest a focus on seamless implementation and ongoing usability within existing clinical workflows.

What partnerships and collaborations does Suki AI have, and what do they indicate about the company's stability?

Suki AI has established partnerships with major EHR vendors like athenahealth (as a Preferred Solution Partner), Epic, Oracle Health, and MEDITECH, indicating strong integration capabilities and market presence. They also collaborate with other health technology companies like WellSky, Zoom, and AvaSure to embed their AI into various clinical workflows, including telehealth and specialty care. Suki is backed by notable investors such as Venrock, Flare Capital Partners, and March Capital, and has raised significant funding, suggesting a stable financial standing.