Ambience Healthcare is a healthcare technology company building an ambient AI platform for clinical documentation, medical coding, and clinical documentation integrity (CDI). Founded in 2020 and headquartered in the United States, the company develops AI that listens to patient-clinician conversations and automatically generates structured clinical notes and supporting documentation, with the goal of reducing the administrative burden that contributes to clinician burnout.
The platform began with ambient clinical scribing and has expanded into an end-to-end system spanning documentation, coding, and workflow support across the continuum of care. The company states its platform supports a wide range of ambulatory subspecialties as well as emergency department and inpatient settings, and that it is powered by proprietary AI reasoning models built for the regulatory and clinical demands of real-world healthcare.
Ambience reports adoption by leading United States health systems, with publicly cited customers including major academic and integrated delivery networks. The company has also highlighted strong customer satisfaction results in third-party KLAS evaluations, citing high product quality and responsiveness scores.
In July 2025 Ambience announced a $243 million Series C round co-led by Oak HC/FT and Andreessen Horowitz, with participation from existing investors including the OpenAI Startup Fund and Kleiner Perkins, reportedly bringing the company's valuation to roughly $1.25 billion and cumulative funding to around $345 million. The funding is directed at scaling the platform across health systems.
Ambience competes with other ambient clinical documentation and medical AI vendors, with differentiation centered on its breadth across specialties and care settings and its expansion beyond scribing into coding and documentation integrity, which connect documentation quality directly to revenue and compliance.
The platform is best suited to mid-size and large health systems and medical groups seeking to reduce documentation time for clinicians while improving coding accuracy and documentation integrity at scale.