Suki has raised $165.0M in total across 5 funding rounds.
Suki's investors include First Round Capital, Flare Capital Partners, March Capital, Operator Partners, Venrock, Bradley Horowitz, Marc Benioff, Pankaj Patel, Elsewhere Partners, Andreessen Horowitz, BoxGroup, Curie.Bio.
Suki AI, Inc. is a Redwood City, California-based healthcare technology company founded in 2017 that develops AI-powered voice assistants to automate clinical documentation and reduce administrative burdens for clinicians.[1][2][5] Its flagship product, Suki Assistant, listens to patient-clinician conversations, generates notes, supports clinical reasoning, and integrates with major EHR platforms like Epic, Oracle Health, athenahealth, and MEDITECH, serving over 400 healthcare systems across 99 specialties and 80+ languages.[1][2] Suki targets clinicians and healthtech partners, addressing clinician burnout by cutting note-taking time, boosting practice satisfaction, and enabling more patient-focused care, with reported outcomes like reduced burnout feelings and increased revenue per user.[2]
The company has raised $161.6M in funding across 6 rounds and generates around $14.9M in annual revenue as a private entity, emphasizing ambient clinical intelligence as AI infrastructure for workflows.[2][4]
Suki was founded in 2017 by Punit Soni, a former Google and Flipkart executive, alongside a leadership team including CTO Joe Chang, Chief Customer Officer Vikram Khanna, Chief Medical Officer Kevin Wang, MD, and others focused on healthcare tech.[1][5] The idea emerged from recognizing clinicians' administrative overload—often buried in documentation despite time's preciousness in medicine—aiming to make healthcare tech "invisible and assistive."[3][5] Early traction built through deep EHR integrations and AI voice solutions, evolving into a comprehensive platform with partnerships like Zoom Ventures for clinical workflow enhancements, securing $161.6M in total funding.[2][4]
Suki rides the ambient AI in healthcare trend, capitalizing on clinician burnout amid rising administrative loads and AI adoption post-2020s advancements in voice tech and large language models.[1][3] Timing aligns with EHR digitization and regulatory pushes for efficiency, amplified by partnerships expanding market reach.[1][2] Market forces like labor shortages and value-based care favor Suki, influencing the ecosystem by setting standards for AI-native infrastructure that reimagines tech stacks as assistive layers, adopted by leading systems to boost productivity.[2][3][5]
Suki is poised to deepen AI features like real-time clinical reasoning, broaden EHR/partner integrations, and target new segments amid clinician efficiency demands.[1][2] Trends in multimodal AI, personalized medicine, and telehealth will shape its path, potentially evolving influence through scalable platforms that standardize ambient intelligence across global healthcare.[1][5] As the intelligence layer enabling presence in care, Suki exemplifies how AI lifts burdens, freeing clinicians for what matters most.[5]
Suki has raised $165.0M across 5 funding rounds. Most recently, it raised $70.0M Series D in October 2024.
