Suki offers Suki Assistant, an AI assistant that ambiently generates clinical notes, takes dictation and commands, simplifies coding, and retrieves relevant chart data from the EHR to answer clinical questions. Its Suki Platform provides developer tools used by EHRs, telehealth companies, and clinical communications firms to build AI voice experiences with minimal development effort. The company reports industry-leading adoption—over a 70% adoption rate—and health systems see note completion up to 72% faster while improving documentation quality and clinician well-being. Suki’s products integrate with major EHRs and health system partners, including Epic, Oracle Cerner, MEDITECH, Athena, and a multi-year collaboration with MedStar Health. The company has expanded rapidly, with over a dozen major health systems deploying or expanding access in recent months. Suki plans to expand beyond its existing offerings, deepen strategic partnerships, accelerate product development, and grow its commercial and leadership teams using the new capital. Suki builds AI-powered voice solutions for healthcare, with its flagship Suki Assistant that creates clinically accurate medical notes and streamlines tasks like EHR retrieval and ICD-10 coding. The company also offers a proprietary voice platform referenced in the release as Suki Speech Platform / Suki Speech Service. Suki says its solution reduces documentation time by 76% on average and is used by physicians across dozens of specialties in more than 90 health systems and clinics nationwide. Over the last year the company quadrupled its revenue and introduced capabilities such as dynamic EHR data pulling and a Windows app to expand device reach. Suki has refined its ICD-10 coding features and continues expanding beyond core clinical documentation. The company plans to use new capital to grow its user base via partnerships with health systems and medical groups, hire and develop employees, and advance the AI capabilities of Suki Assistant and its voice platform. Suki provides a voice-enabled digital clinical assistant that uses natural language processing and machine learning to create clinically accurate medical notes and complete administrative tasks like retrieving patient information from electronic health records. Across its user base, Suki lowered physicians' average time per note from more than 13 minutes to just over 3 minutes (a 76% reduction) and has been shown to decrease claims denial rates by up to 19% by generating highly detailed clinical documentation. The product supports physicians in any clinical setting and across specialties including cardiology, orthopedics, plastic surgery, ophthalmology, pediatrics, and family medicine. Suki plans to expand its user base through new and existing partnerships with leading health systems and medical groups and to advance its AI capabilities while adding features that streamline documentation, coding, billing, and other administrative tasks. The company has recently grown its team with hires including Jallel Harrati as vice president of sales and Jatin Chhugani as vice president of engineering. Suki, founded by Punit Soni, is developing a voice-based digital assistant that lets doctors dictate clinical notes and have them captured and pushed into underlying electronic medical record systems. The company emphasizes relieving physician burnout by simplifying documentation workflows across exam-room interfaces like iOS apps and web. Suki relies on commoditized voice recognition and focuses on the harder problem of understanding clinical language and mapping utterances into structured patient documentation. The product must adapt to individual doctors’ documentation styles and improve over time as it collects more data, which the company sees as a path to defensibility. The team changed its name from Robin AI to Suki because the new wake word is better suited for a voice assistant in the clinic. To date the company has raised roughly $20 million in total funding.

Total raised

$160M

Funding rounds

4

Latest round

Series D

Latest activity

Oct 2024