Companies

Suki

suki.ai

Suki provides ambient AI software that automates clinical documentation and workflow tasks for healthcare professionals.

HQRedwood City, California, United States
Employees201-1000
Funding$168M
Valuation$500M
11 active roles
Profile 8mo agoJobs checked 3d ago
Specialization
Speech
Business
Software Applications
Market
Healthcare
Ecosystem
Applications
Customers
Enterprisesand 1 more customers values
  • Small Businesses
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Speech
Market
Healthcare
Customers
Enterprises, Small Businesses
Delivery models
Hosted Software, API
Revenue models
Subscription, Licensing
Listing status
Not classified
Latest equity round
Not classified
Reported funding amount
$50M-$200M

About

Suki builds ambient clinical-intelligence software for clinicians, healthcare organizations, EHR partners, and digital-health companies. Its flagship Suki Assistant listens to patient-clinician conversations to generate documentation, while also supporting coding, clinical questions, orders, billing, and patient communication; its differentiation is deep, real-time EHR integration and a partner-facing AI and speech platform.

Market

Suki competes in the ambient clinical intelligence and healthcare AI market, particularly AI-powered clinical documentation, medical scribing, coding, and workflow automation. It positions itself as an enterprise-grade platform that goes beyond transcription: its ambient intelligence layer is embedded at the point of care, integrates with major EHRs, supports documentation and revenue-cycle workflows, and is available to partners through SDKs and APIs. Its main competitive set includes Abridge, Microsoft Nuance, Ambience Healthcare, Commure, DeepScribe, Nabla, and Heidi Health.

Target Customers

Suki primarily targets enterprise healthcare organizations, including health systems, clinical practices, clinicians, and health-plan care-management teams that want to automate documentation and related workflows within existing EHR environments. It also targets healthcare technology companies seeking to embed ambient clinical intelligence through Suki's SDKs and APIs.

At a Glance

Problem

Suki addresses the administrative burden of clinical documentation, which keeps clinicians away from patients and contributes to burnout. The pain is substantial: clinicians reportedly spend only 27% of their day with patients, with the remainder lost to manual charting and documentation. The main use case is capturing the patient visit without requiring the clinician to type notes afterward, reclaiming time and clinical capacity.

The economic value is faster documentation, less after-hours administrative work, and potentially better operational performance for providers and health systems. Suki reports that clinicians complete notes 41% faster on average, while its broader positioning links reduced documentation burden with more time for patients and lower burnout.

Product / Service

Suki Assistant is an ambient AI clinical assistant that listens to patient–clinician conversations and uses generative AI to create clinical documentation automatically. Its clinician offering also supports ambient note generation, ICD-10 coding, clinical questions and answers, and integration with electronic health records, allowing the assistant to fit into existing workflows rather than operating as a standalone note-taking tool.

Suki also provides a developer platform, including SDKs and APIs, so healthcare technology companies and EHR vendors can embed Suki’s voice and AI capabilities into their own products. The benefit is an end-to-end workflow that helps clinicians document, code, navigate the EHR and retrieve information with less manual effort.

Market

Suki competes in healthcare AI, particularly the ambient clinical intelligence, AI medical scribe and voice-enabled clinical-assistant categories. Its target customers include physicians, hospitals, health systems, EHR vendors and healthcare technology companies. The available evidence does not identify specific named competitors, so Suki is best positioned here by category rather than by a verified competitor set.

The company appears commercially deployed rather than pre-revenue: it was founded in 2017, reports trust from more than 400 health systems, says it integrates with all major EHRs, and has expanded partnerships across health systems, health-tech companies and EHR solutions. It has also raised $70 million to build out its AI assistant technology. Suki remains a private, non-publicly traded company, and the available evidence does not provide audited revenue or pricing information.

Founders & Leadership

Punit SoniFounder
Founder & CEO
Karthik RajanFounder
Co-Founder, CTO, and Board Member
Joe ChangChief Technology Officer
Bryan MorrisChief Financial Officer
Vikram KhannaChief Revenue Officer
Kevin Wang, MDChief Medical Officer
Abhi PathakChief Product Officer
Demetra AiraudiSenior Vice President of Marketing

Funding History

2017-03
Seed Round$5M

Venrock, First Round Capital

2018-05
Series A$15M

Venrock

2020-03
Series B$20M

Flare Capital

2021-12
Series C$55M

March Capital

2024-10
Series D$70M

Hedosophia

2025-01
Strategic investment$3M implied; officially undisclosed

Zoom Ventures

Recent News

2026-10-13funding
Suki raises $90M Series E

Suki announced $90 million in Series E financing on October 13 to accelerate growth and expand its healthcare AI capabilities. New investors include Healthier Capital, Crosslink Capital, and Hercules Capital; Aman Mahajan of Healthier Capital will join Suki’s board.

2026-10-08product_launch
Suki launches Ask with Wolters Kluwer UpToDate Expert AI

Suki announced the availability of Ask, a clinical decision-support feature that lets clinicians query patient-specific information and access evidence-based answers powered by Wolters Kluwer’s UpToDate Expert AI. The feature was made available across Epic, Oracle Health, athenahealth, and MEDITECH workflows.

2026-09-01other
Suki launches Science at Suki research initiative

Suki launched the “Science at Suki” research initiative to publicly share its work on ambient clinical intelligence. The initiative will produce articles, interviews, videos, white papers, and peer-reviewed publications focused on product development, engineering, and implementation impact.

2026-08-25product_launch
Suki launches Suki Dictation AI clinical documentation tool

On August 25, 2026, Suki launched Suki Dictation, an AI clinical documentation tool. The product enables clinicians to dictate and edit documentation by voice, integrates with Epic and MEDITECH electronic health records, and can be deployed standalone or alongside Suki’s ambient documentation technology.

2026-08-12partnership
Suki partners with Teladoc to embed ambient AI into Solo Virtual Care

Suki and Teladoc Health announced a partnership to embed Suki’s ambient clinical AI directly into Teladoc’s Solo Virtual Care Platform. The integration generates clinical documentation within clinicians’ existing workflows and extends AI support to virtual nursing assessments, including admission, discharge, and other nursing workflows.

2026-05-18product_launch
Ambient Clinical Intelligence, Built by Clinicians

Suki positioned its product as more than an AI scribe, emphasizing clinical-context understanding, EHR integration, and user trust. The announcement says the system is trusted by more than 80% of users.

2026-01-28partnership
HealthEdge & Suki Introduce Ambient Clinical Intelligence for Care Management

HealthEdge and Suki announced an integration of Suki with HealthEdge GuidingCare for care-management workflows. The partnership is intended to automate work for care managers, reduce administrative burden, and elevate care delivery.

2025-10-21product_launch
Building Presence at the Heart of Care

Suki highlighted how ambient AI can go beyond note-taking to help clinicians remain present with patients. The post frames Suki’s technology as supporting a more human-centered clinical experience.

2025-10-08partnership
Suki Launches Nursing Consortium with a Broad Coalition of Health Systems

Suki announced a nursing consortium with leading health systems to develop AI intended to reduce nurses’ administrative burden. The initiative includes work on Suki for Nurses.

Active Roles

11
Remote, US/Sales/4d ago
Bengaluru/Operations/9d ago
Redwood City, CA/Product/13d ago
Redwood City, CA/Engineering/25d ago
Bangalore/Engineering/27d ago
Redwood City, CA/Product/39d ago
Bengaluru/Operations/54d ago
Redwood City, CA/Marketing/60d ago
Bangalore, India/Engineering/66d ago
Redwood City, CA/Engineering/241d ago
Redwood City, CA/Legal/241d ago

Business Model

Suki monetizes subscriptions and enterprise contracts for Suki Assistant, with third-party pricing references indicating approximately $299-$399 per user per month and custom enterprise pricing. It also licenses or commercializes Suki Platform, its AI and speech infrastructure, through partnerships with healthcare technology companies and EHR platforms.

Products

Suki Ambient Clinical Intelligence platformSuki for CliniciansAmbient DocumentationVoice-enabled clinical workflow assistant for charting, dictation, orders, and patient instructionsClinical coding and revenue-cycle-management capabilitiesSuki for Partners developer platform, including SDKs and APIs

Customers

Rush University Medical CenterAmerican Academy of Orthopaedic SurgeonsCentral Virginia Family PhysiciansSt. Mary's HealthcareDecatur County Memorial HospitalCitizens MemorialGolden Valley Memorial HealthcareOzarks HealthcareGoshen HealthHolyoke Medical CenterMedStar Health

Tech Stack

Machine learningConversational AINatural-language understandingVoice interfaces and voice-command processingSaaS deliveryEHR integrationsSDKs and APIsMCP servers and agentic workflows

Competitors

Abridge
Microsoft Nuance
Ambience Healthcare
Commure
DeepScribe
Nabla
Heidi Health

Key Investors

Zoom Ventures, Hedosophia, March Capital, Venrock, First Round Capital, Flare Capital Partners, Breyer Capital